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You searched for subject:(trajectory prediction). Showing records 1 – 30 of 43 total matches.

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Penn State University

1. Sun, Ying. A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space.

Degree: MS, Electrical Engineering, 2013, Penn State University

 With the advances in GPS and other location acquisition technologies, an increasing amount of trajectory data is being captured and recorded. This trajectory data has… (more)

Subjects/Keywords: prediction; trajectory pattern; Mixed Markov Model

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APA (6th Edition):

Sun, Y. (2013). A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/17514

Chicago Manual of Style (16th Edition):

Sun, Ying. “A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space.” 2013. Masters Thesis, Penn State University. Accessed January 27, 2020. https://etda.libraries.psu.edu/catalog/17514.

MLA Handbook (7th Edition):

Sun, Ying. “A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space.” 2013. Web. 27 Jan 2020.

Vancouver:

Sun Y. A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space. [Internet] [Masters thesis]. Penn State University; 2013. [cited 2020 Jan 27]. Available from: https://etda.libraries.psu.edu/catalog/17514.

Council of Science Editors:

Sun Y. A Mixed Markov Model Approach To Predict Future Points Of Interest In Indoor Space. [Masters Thesis]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/17514


Georgia Tech

2. Pecher, Philip K. A DDDAS framework for managing online transportation systems.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 Dynamic Data-Driven Application Systems (DDDAS) integrate an executing simulation with data instrumentation in a feedback control loop. Additional data can be assimilated into the application… (more)

Subjects/Keywords: DDDAS; Trajectory prediction; Simulation acceleration; Simulation cloning

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APA (6th Edition):

Pecher, P. K. (2018). A DDDAS framework for managing online transportation systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59861

Chicago Manual of Style (16th Edition):

Pecher, Philip K. “A DDDAS framework for managing online transportation systems.” 2018. Doctoral Dissertation, Georgia Tech. Accessed January 27, 2020. http://hdl.handle.net/1853/59861.

MLA Handbook (7th Edition):

Pecher, Philip K. “A DDDAS framework for managing online transportation systems.” 2018. Web. 27 Jan 2020.

Vancouver:

Pecher PK. A DDDAS framework for managing online transportation systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1853/59861.

Council of Science Editors:

Pecher PK. A DDDAS framework for managing online transportation systems. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59861


University of Helsinki

3. Faghihi, Farbod. Mobility Modelling through Trajectory Decomposition and Prediction.

Degree: Department of Computer Science; Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap, 2017, University of Helsinki

 The ubiquity of mobile devices with positioning sensors make it possible to derive user's location at any time. However, constantly sensing the position in order… (more)

Subjects/Keywords: trajectory prediction; trajectory analysis; human mobility; mobility modelling

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APA (6th Edition):

Faghihi, F. (2017). Mobility Modelling through Trajectory Decomposition and Prediction. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/209604

Chicago Manual of Style (16th Edition):

Faghihi, Farbod. “Mobility Modelling through Trajectory Decomposition and Prediction.” 2017. Masters Thesis, University of Helsinki. Accessed January 27, 2020. http://hdl.handle.net/10138/209604.

MLA Handbook (7th Edition):

Faghihi, Farbod. “Mobility Modelling through Trajectory Decomposition and Prediction.” 2017. Web. 27 Jan 2020.

Vancouver:

Faghihi F. Mobility Modelling through Trajectory Decomposition and Prediction. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/10138/209604.

Council of Science Editors:

Faghihi F. Mobility Modelling through Trajectory Decomposition and Prediction. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/209604


NSYSU

4. Lin, Yan-hong. A Catching Ball System with Prediction on Trajectory of the Flying Ball.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2016, NSYSU

 When humans catch a ball, they will first predict the landing point, then move to the nearby position to catch the ball. If the ball… (more)

Subjects/Keywords: Trajectory prediction; Kalman filter; Catching strategy; Robotic arm; Machine vision

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APA (6th Edition):

Lin, Y. (2016). A Catching Ball System with Prediction on Trajectory of the Flying Ball. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-161217

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Yan-hong. “A Catching Ball System with Prediction on Trajectory of the Flying Ball.” 2016. Thesis, NSYSU. Accessed January 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-161217.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Yan-hong. “A Catching Ball System with Prediction on Trajectory of the Flying Ball.” 2016. Web. 27 Jan 2020.

Vancouver:

Lin Y. A Catching Ball System with Prediction on Trajectory of the Flying Ball. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Jan 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-161217.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin Y. A Catching Ball System with Prediction on Trajectory of the Flying Ball. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807116-161217

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

5. Lu, Ying. Change Detection with Climate Data Application.

Degree: PhD, Statistics, 2015, University of Minnesota

 This thesis has two major components: Change Detection and Hurricane Trajectory Prediction. In Change Detection, we generalize the scope of the existing change detection framework,… (more)

Subjects/Keywords: Change Detection; Climate Change; Generalized Extreme Value Distribution; Hurricane Trajectory Prediction; Model Combination; Order Statistic

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APA (6th Edition):

Lu, Y. (2015). Change Detection with Climate Data Application. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191502

Chicago Manual of Style (16th Edition):

Lu, Ying. “Change Detection with Climate Data Application.” 2015. Doctoral Dissertation, University of Minnesota. Accessed January 27, 2020. http://hdl.handle.net/11299/191502.

MLA Handbook (7th Edition):

Lu, Ying. “Change Detection with Climate Data Application.” 2015. Web. 27 Jan 2020.

Vancouver:

Lu Y. Change Detection with Climate Data Application. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/11299/191502.

Council of Science Editors:

Lu Y. Change Detection with Climate Data Application. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/191502


University of California – San Diego

6. Virdi, Jaskaran. Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles.

Degree: Computer Science, 2017, University of California – San Diego

 As a part of developing autonomous vehicles and better Advanced driver assistance systems(ADAS), it is important to consider how the spatio-temporal activities of other agents… (more)

Subjects/Keywords: Computer science; Autonomous Vehicles; Collision Avoidance; Computer Vision; Deep Learning; Recurrent Neural Network; Trajectory Prediction

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APA (6th Edition):

Virdi, J. (2017). Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9rv757m9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Virdi, Jaskaran. “Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles.” 2017. Thesis, University of California – San Diego. Accessed January 27, 2020. http://www.escholarship.org/uc/item/9rv757m9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Virdi, Jaskaran. “Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles.” 2017. Web. 27 Jan 2020.

Vancouver:

Virdi J. Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2020 Jan 27]. Available from: http://www.escholarship.org/uc/item/9rv757m9.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Virdi J. Using Deep Learning to Predict Obstacle Trajectories for Collision Avoidance in Autonomous Vehicles. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/9rv757m9

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duke University

7. Clements, Jillian. Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis .

Degree: 2018, Duke University

  Physiological signals measured from the body, such as brain activity and motor behavior, can be used to infer different physiological states or processes in… (more)

Subjects/Keywords: Engineering; Behavioral sciences; Neurosciences; EEG; machine learning; marksmanship; MoBI; trajectory prediction; virtual reality

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APA (6th Edition):

Clements, J. (2018). Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/18213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Clements, Jillian. “Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis .” 2018. Thesis, Duke University. Accessed January 27, 2020. http://hdl.handle.net/10161/18213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Clements, Jillian. “Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis .” 2018. Web. 27 Jan 2020.

Vancouver:

Clements J. Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis . [Internet] [Thesis]. Duke University; 2018. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/10161/18213.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Clements J. Evaluating Human Performance in Virtual Reality Based on Psychophysiological Signal Analysis . [Thesis]. Duke University; 2018. Available from: http://hdl.handle.net/10161/18213

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

8. Wu, Xuchao. Space Book Project  – Trajectory Analysis.

Degree: 2012, University of Edinburgh

 A large volume of work has been done to summarise the pattern of a pedestrian’s trajectory and to detect the intention of the pedestrian, based… (more)

Subjects/Keywords: Pedestrian trajectory; Real-time prediction; Machine learning; Gaussian Mixture Model; Naive Bayes Model; Decision Tree Model

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APA (6th Edition):

Wu, X. (2012). Space Book Project  – Trajectory Analysis. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Xuchao. “Space Book Project  – Trajectory Analysis.” 2012. Thesis, University of Edinburgh. Accessed January 27, 2020. http://hdl.handle.net/1842/6356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Xuchao. “Space Book Project  – Trajectory Analysis.” 2012. Web. 27 Jan 2020.

Vancouver:

Wu X. Space Book Project  – Trajectory Analysis. [Internet] [Thesis]. University of Edinburgh; 2012. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1842/6356.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu X. Space Book Project  – Trajectory Analysis. [Thesis]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/6356

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

9. Lei, Min. Prediction of Motion Trajectory for the Underwater Towed Vehicle.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2015, NSYSU

 GPS technology has been developed quite mature and can quickly provide accurate positioning of most Earth surface. GPS has wide range of applications, from daily… (more)

Subjects/Keywords: motion of underwater cable; underwater cables; cable dynamics; trajectory prediction; underwater towed vehicles; underwater cable configuration

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APA (6th Edition):

Lei, M. (2015). Prediction of Motion Trajectory for the Underwater Towed Vehicle. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810115-163410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lei, Min. “Prediction of Motion Trajectory for the Underwater Towed Vehicle.” 2015. Thesis, NSYSU. Accessed January 27, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810115-163410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lei, Min. “Prediction of Motion Trajectory for the Underwater Towed Vehicle.” 2015. Web. 27 Jan 2020.

Vancouver:

Lei M. Prediction of Motion Trajectory for the Underwater Towed Vehicle. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Jan 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810115-163410.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lei M. Prediction of Motion Trajectory for the Underwater Towed Vehicle. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810115-163410

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Rashid, Khandakar Mamunur. Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety.

Degree: MSin Project Management, Technology and Construction Management, 2017, Missouri State University

 Construction sites comprise constantly moving heterogeneous resources that interact in close proximity of each other. The sporadic nature of such interactions creates an accident prone… (more)

Subjects/Keywords: construction safety; trajectory prediction; real-time tracking; GPS; Markov model; risk attitude.; Business Administration, Management, and Operations

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APA (6th Edition):

Rashid, K. M. (2017). Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3158

Chicago Manual of Style (16th Edition):

Rashid, Khandakar Mamunur. “Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety.” 2017. Masters Thesis, Missouri State University. Accessed January 27, 2020. https://bearworks.missouristate.edu/theses/3158.

MLA Handbook (7th Edition):

Rashid, Khandakar Mamunur. “Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety.” 2017. Web. 27 Jan 2020.

Vancouver:

Rashid KM. Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety. [Internet] [Masters thesis]. Missouri State University; 2017. [cited 2020 Jan 27]. Available from: https://bearworks.missouristate.edu/theses/3158.

Council of Science Editors:

Rashid KM. Coupling Mobile Technology, Position Data Mining, and Attitude toward Risk to Improve Construction Site Safety. [Masters Thesis]. Missouri State University; 2017. Available from: https://bearworks.missouristate.edu/theses/3158


University of South Florida

11. Ghiasi, Amir. Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization.

Degree: 2018, University of South Florida

 Emerging connected and autonomous vehicle technologies (CAV) provide an opportunity to improve highway capacity and reduce adverse impacts of stop-and-go traffic. To realize the potential… (more)

Subjects/Keywords: Traffic Smoothing; CAV; Mixed Traffic; Traffic Control; Trajectory Prediction; Civil Engineering; Engineering; Urban Studies and Planning

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APA (6th Edition):

Ghiasi, A. (2018). Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ghiasi, Amir. “Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization.” 2018. Thesis, University of South Florida. Accessed January 27, 2020. https://scholarcommons.usf.edu/etd/7295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ghiasi, Amir. “Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization.” 2018. Web. 27 Jan 2020.

Vancouver:

Ghiasi A. Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization. [Internet] [Thesis]. University of South Florida; 2018. [cited 2020 Jan 27]. Available from: https://scholarcommons.usf.edu/etd/7295.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghiasi A. Connected Autonomous Vehicles: Capacity Analysis, Trajectory Optimization, and Speed Harmonization. [Thesis]. University of South Florida; 2018. Available from: https://scholarcommons.usf.edu/etd/7295

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


RMIT University

12. Sadri, A. Mining human mobility patterns from pervasive spatial and temporal data.

Degree: 2018, RMIT University

 Recent advances in communication, sensors and processors have made pervasive systems more computationally powerful and increasingly popular. These systems are deployed everywhere all the time… (more)

Subjects/Keywords: Fields of Research; Pervasive signals; Spatio-temporal data; Trajectory prediction; Graph compression; Temporal segmentation; Time series analysis

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APA (6th Edition):

Sadri, A. (2018). Mining human mobility patterns from pervasive spatial and temporal data. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sadri, A. “Mining human mobility patterns from pervasive spatial and temporal data.” 2018. Thesis, RMIT University. Accessed January 27, 2020. http://researchbank.rmit.edu.au/view/rmit:162474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sadri, A. “Mining human mobility patterns from pervasive spatial and temporal data.” 2018. Web. 27 Jan 2020.

Vancouver:

Sadri A. Mining human mobility patterns from pervasive spatial and temporal data. [Internet] [Thesis]. RMIT University; 2018. [cited 2020 Jan 27]. Available from: http://researchbank.rmit.edu.au/view/rmit:162474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sadri A. Mining human mobility patterns from pervasive spatial and temporal data. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


INP Toulouse

13. Alligier, Richard. Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction.

Degree: Docteur es, Intelligence artificielle, 2014, INP Toulouse

L'organisme Eurocontrol prévoit une forte hausse du trafic aérien européen d'ici l'année 2035. Cette hausse de trafic justifie le développement de nouveaux concepts et outils… (more)

Subjects/Keywords: Prédiction de trajectoire; Apprentissage artificiel; Modèle à énergie totale; Trajectory prediction; Machine learning; Total energy model

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APA (6th Edition):

Alligier, R. (2014). Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2014INPT0083

Chicago Manual of Style (16th Edition):

Alligier, Richard. “Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction.” 2014. Doctoral Dissertation, INP Toulouse. Accessed January 27, 2020. http://www.theses.fr/2014INPT0083.

MLA Handbook (7th Edition):

Alligier, Richard. “Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction.” 2014. Web. 27 Jan 2020.

Vancouver:

Alligier R. Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction. [Internet] [Doctoral dissertation]. INP Toulouse; 2014. [cited 2020 Jan 27]. Available from: http://www.theses.fr/2014INPT0083.

Council of Science Editors:

Alligier R. Apprentissage artificiel appliqué à la prévision de trajectoire d'avion : Machine Learning Applied to Aircraft Trajectory Prediction. [Doctoral Dissertation]. INP Toulouse; 2014. Available from: http://www.theses.fr/2014INPT0083

14. João Emile Louis. Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo.

Degree: 2006, Instituto Nacional de Pesquisas Espaciais

Quando veículos com satélites ou simplesmente com algum tipo de experimento científico são lançados ao espaço, o dever de se cumprir a missão à que… (more)

Subjects/Keywords: Trajetória extrapolada; Segurança de vôo; Tomada de decisão; Padrões abertos; Previsão de impacto; COMPUTER SCIENCE; Trajectory extrapolation; Flight safety; Decision making; Open web standards; Impact prediction

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APA (6th Edition):

Louis, J. E. (2006). Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo. (Thesis). Instituto Nacional de Pesquisas Espaciais. Retrieved from http://urlib.net/sid.inpe.br/[email protected]/2006/05.30.19.23

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Louis, João Emile. “Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo.” 2006. Thesis, Instituto Nacional de Pesquisas Espaciais. Accessed January 27, 2020. http://urlib.net/sid.inpe.br/[email protected]/2006/05.30.19.23.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Louis, João Emile. “Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo.” 2006. Web. 27 Jan 2020.

Vancouver:

Louis JE. Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2006. [cited 2020 Jan 27]. Available from: http://urlib.net/sid.inpe.br/[email protected]/2006/05.30.19.23.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Louis JE. Monitoração da trajetória em tempo-real de veículos espaciais: suporte na tomada de decisão pela segurança de vôo. [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2006. Available from: http://urlib.net/sid.inpe.br/[email protected]/2006/05.30.19.23

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Bittle, Joshua A. Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model.

Degree: 2014, Texas A&M University

 Attempting to bridge the gap between typical off-line engine simulations and online real-time control strategies a computationally efficient model has been created that predicts the… (more)

Subjects/Keywords: diesel combustion; combustion trajectory prediction; low temperature combustion

trajectory shown versus crank angle for conventional combustion case. Nominal engine operating… …58 Figure 17 - Nitric oxide emission prediction comparison to experimental results for an… …prediction comparison to experimental results for an injection timing sweep with a high EGR level… …64 Figure 21 - Nitric oxide emission prediction comparison to experimental results for a… …Figure 22 - Filter smoke number prediction comparison to experimental results for a rail… 

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APA (6th Edition):

Bittle, J. A. (2014). Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/152767

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bittle, Joshua A. “Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model.” 2014. Thesis, Texas A&M University. Accessed January 27, 2020. http://hdl.handle.net/1969.1/152767.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bittle, Joshua A. “Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model.” 2014. Web. 27 Jan 2020.

Vancouver:

Bittle JA. Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1969.1/152767.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bittle JA. Insights into Conventional and Low Temperature Diesel Combustion Using Combustion Trajectory Prediction Model. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/152767

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas State University – San Marcos

16. Koh, Do Hyong. Instantaneous Target Selection with 2D Saccades: Case Study.

Degree: MS, Computer Science, 2012, Texas State University – San Marcos

 We introduce and evaluate a new Instantaneous Saccade (IS) selection scheme for eye gaze driven interfaces where the speed of the target selection is of… (more)

Subjects/Keywords: Human computer interaction; Kalman filter; Interaction technique evaluation; Eye tracker; Saccade trajectory prediction; Vision; Saccadic eye movements; Mathematical models; Kalman filtering; Computer vision

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APA (6th Edition):

Koh, D. H. (2012). Instantaneous Target Selection with 2D Saccades: Case Study. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/2443

Chicago Manual of Style (16th Edition):

Koh, Do Hyong. “Instantaneous Target Selection with 2D Saccades: Case Study.” 2012. Masters Thesis, Texas State University – San Marcos. Accessed January 27, 2020. https://digital.library.txstate.edu/handle/10877/2443.

MLA Handbook (7th Edition):

Koh, Do Hyong. “Instantaneous Target Selection with 2D Saccades: Case Study.” 2012. Web. 27 Jan 2020.

Vancouver:

Koh DH. Instantaneous Target Selection with 2D Saccades: Case Study. [Internet] [Masters thesis]. Texas State University – San Marcos; 2012. [cited 2020 Jan 27]. Available from: https://digital.library.txstate.edu/handle/10877/2443.

Council of Science Editors:

Koh DH. Instantaneous Target Selection with 2D Saccades: Case Study. [Masters Thesis]. Texas State University – San Marcos; 2012. Available from: https://digital.library.txstate.edu/handle/10877/2443

17. WU XIAONI. NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS.

Degree: 2016, National University of Singapore

Subjects/Keywords: Numerical study; Drag anchor; Capacity; Anchor behavior; Yield envelope; Trajectory prediction

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APA (6th Edition):

XIAONI, W. (2016). NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/135860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

XIAONI, WU. “NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS.” 2016. Thesis, National University of Singapore. Accessed January 27, 2020. http://scholarbank.nus.edu.sg/handle/10635/135860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

XIAONI, WU. “NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS.” 2016. Web. 27 Jan 2020.

Vancouver:

XIAONI W. NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS. [Internet] [Thesis]. National University of Singapore; 2016. [cited 2020 Jan 27]. Available from: http://scholarbank.nus.edu.sg/handle/10635/135860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XIAONI W. NUMERICAL MODELLING OF BEHAVIOR OF DRAG ANCHORS. [Thesis]. National University of Singapore; 2016. Available from: http://scholarbank.nus.edu.sg/handle/10635/135860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. ZHOU JINGBO. Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis.

Degree: 2014, National University of Singapore

Subjects/Keywords: semi-lazy learning; spatio-temporal data analysis; dynamic prediction; trajectory; time series; itinerary

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APA (6th Edition):

JINGBO, Z. (2014). Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/118274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

JINGBO, ZHOU. “Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis.” 2014. Thesis, National University of Singapore. Accessed January 27, 2020. http://scholarbank.nus.edu.sg/handle/10635/118274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

JINGBO, ZHOU. “Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis.” 2014. Web. 27 Jan 2020.

Vancouver:

JINGBO Z. Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2020 Jan 27]. Available from: http://scholarbank.nus.edu.sg/handle/10635/118274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

JINGBO Z. Semi-Lazy Learning Approach to Dynamic Spatio-Temporal Data Analysis. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/118274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

19. Přibyl, Jaroslav. Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou.

Degree: 2014, Brno University of Technology

 Důležitou součástí aplikací procházení distribuovanou virtuální scénou je proces plánování přenosu dat. Jeho hlavním úkolem je zajištění efektivního přenosu dat a maximální kvality renderovaného obrazu.… (more)

Subjects/Keywords: Průchod distribuovanou virtuální scénou; predikce následující pozice; databáze trajektorií; pohybová funkce; Markovovův řetězec; přednačítání dat.; Distributed virtual scene walkthrough; next location prediction; trajectory database; motion function; Markov chain; prefetching.

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APA (6th Edition):

Přibyl, J. (2014). Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/63242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Přibyl, Jaroslav. “Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou. ” 2014. Thesis, Brno University of Technology. Accessed January 27, 2020. http://hdl.handle.net/11012/63242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Přibyl, Jaroslav. “Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou. ” 2014. Web. 27 Jan 2020.

Vancouver:

Přibyl J. Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou. [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/11012/63242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Přibyl J. Polohově závislé plánování přenosu dat pro aplikace procházení distribuovanou virtuální scénou. [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/63242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Orleans

20. Rezaie, Reza. Gaussian Conditionally Markov Sequences: Theory with Application.

Degree: PhD, Electrical Engineering, 2019, University of New Orleans

  Markov processes have been widely studied and used for modeling problems. A Markov process has two main components (i.e., an evolution law and an… (more)

Subjects/Keywords: Stochastic process, conditionally Markov process, reciprocal process, dynamic model, trajectory modeling and prediction.; Multi-Vehicle Systems and Air Traffic Control; Navigation, Guidance, Control and Dynamics; Signal Processing; Systems and Communications

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APA (6th Edition):

Rezaie, R. (2019). Gaussian Conditionally Markov Sequences: Theory with Application. (Doctoral Dissertation). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2679

Chicago Manual of Style (16th Edition):

Rezaie, Reza. “Gaussian Conditionally Markov Sequences: Theory with Application.” 2019. Doctoral Dissertation, University of New Orleans. Accessed January 27, 2020. https://scholarworks.uno.edu/td/2679.

MLA Handbook (7th Edition):

Rezaie, Reza. “Gaussian Conditionally Markov Sequences: Theory with Application.” 2019. Web. 27 Jan 2020.

Vancouver:

Rezaie R. Gaussian Conditionally Markov Sequences: Theory with Application. [Internet] [Doctoral dissertation]. University of New Orleans; 2019. [cited 2020 Jan 27]. Available from: https://scholarworks.uno.edu/td/2679.

Council of Science Editors:

Rezaie R. Gaussian Conditionally Markov Sequences: Theory with Application. [Doctoral Dissertation]. University of New Orleans; 2019. Available from: https://scholarworks.uno.edu/td/2679

21. Monot, Nolwenn. Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving.

Degree: Docteur es, Automatique, Productique, Signal et Image, Ingénierie cognitique, 2019, Bordeaux

Cette thèse s’inscrit dans le développement et la conception de fonctions d’aide à la conduite pour les véhicules autonomes de niveau 3 et plus en… (more)

Subjects/Keywords: Automatique; Dynamique du véhicule; Assistance à la conduite; Régulation; Génération de trajectoire; Prédiction de trajectoire; Automatic; Vehicle dynamics; Driving assistance system; Control; Path planning; Trajectory prediction

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APA (6th Edition):

Monot, N. (2019). Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2019BORD0109

Chicago Manual of Style (16th Edition):

Monot, Nolwenn. “Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving.” 2019. Doctoral Dissertation, Bordeaux. Accessed January 27, 2020. http://www.theses.fr/2019BORD0109.

MLA Handbook (7th Edition):

Monot, Nolwenn. “Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving.” 2019. Web. 27 Jan 2020.

Vancouver:

Monot N. Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving. [Internet] [Doctoral dissertation]. Bordeaux; 2019. [cited 2020 Jan 27]. Available from: http://www.theses.fr/2019BORD0109.

Council of Science Editors:

Monot N. Des systèmes d'aide à la conduite au véhicule autonome connecté : From driving assistance systems to automated and connected driving. [Doctoral Dissertation]. Bordeaux; 2019. Available from: http://www.theses.fr/2019BORD0109

22. Wang, Zhenming. A Methodology for Nowcasting Unstable Approaches .

Degree: 2016, George Mason University

 The approach-and-landing is one of the most complex procedures in airline operations. To mitigate the potential risks in this phase of flight, airlines and regulators… (more)

Subjects/Keywords: Transportation; Information technology; aviation safety; prediction; supervised learning; trajectory analysis

…includes trajectory prediction, anomalous flight detection, and approach performance analysis… …Trajectory prediction methods are based on point-mass models or kinematic models, which do not… …predicting unstable approaches including algorithms for aircraft trajectory prediction, anomaly… …Aircraft Trajectory Prediction Ideally, if the future trajectory of an aircraft can be predicted… …others. A large amount of literature exists on the topic of trajectory prediction (… 

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APA (6th Edition):

Wang, Z. (2016). A Methodology for Nowcasting Unstable Approaches . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/10477

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Zhenming. “A Methodology for Nowcasting Unstable Approaches .” 2016. Thesis, George Mason University. Accessed January 27, 2020. http://hdl.handle.net/1920/10477.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Zhenming. “A Methodology for Nowcasting Unstable Approaches .” 2016. Web. 27 Jan 2020.

Vancouver:

Wang Z. A Methodology for Nowcasting Unstable Approaches . [Internet] [Thesis]. George Mason University; 2016. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1920/10477.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Z. A Methodology for Nowcasting Unstable Approaches . [Thesis]. George Mason University; 2016. Available from: http://hdl.handle.net/1920/10477

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

23. Si, Weiping. A Statistics-based Framework for Bus Travel Time Prediction.

Degree: MS, Computer Science, 2012, Penn State University

 In this paper, we develop a statistics-based bus travel time prediction framework, called Historical Trajectory based Travel/Arrival Time Prediction (HTTP) for real-time prediction of travel… (more)

Subjects/Keywords: Historical Trajectory; Travel Time Prediction; similar trajectory; passed segments; temporal feature

…time prediction framework, called Historical Trajectory based Travel/Arrival Time Prediction… …prediction. To determine a set of similar trajectories based on travel time on passed trajectory… …similarity-based prediction of arrival/travel times and trajectory patterns. 3.1 A brief history… …order to make a good prediction. The basic idea is that, based on the proposed trajectory… …availability of using historical trajectory to the current bus ride to do prediction of the future… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Si, W. (2012). A Statistics-based Framework for Bus Travel Time Prediction. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15369

Chicago Manual of Style (16th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Masters Thesis, Penn State University. Accessed January 27, 2020. https://etda.libraries.psu.edu/catalog/15369.

MLA Handbook (7th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Web. 27 Jan 2020.

Vancouver:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Internet] [Masters thesis]. Penn State University; 2012. [cited 2020 Jan 27]. Available from: https://etda.libraries.psu.edu/catalog/15369.

Council of Science Editors:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Masters Thesis]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/15369

24. Könnemann, F.L. Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:.

Degree: 2014, Delft University of Technology

 This thesis deals with traffic forecasts of Airspace Users for Air Navigation Service Providers. Currently there is a high amount of uncertainty in the traffic… (more)

Subjects/Keywords: arrival time; sector demand; predictability; prediction error; prediction accuracy; trajectory prediction; departure time; demand forecast; prediction uncertainty

…1.2 Trajectory prediction uncertainty over time horizon (estimation) [6]… …June 2013 are shown in figure 1.3. Appendix A.1 shows a 4D trajectory prediction message… …affect trajectory predictions. Table 2.5 shows mean & standard deviation of the prediction… …1.1 Prediction Uncertainty . . . . . . . 1.2 Benefits of Improved Predictability 1.3… …Modelling Framework 3.1 Trajectory Predictions . . . . . . . . . . . 3.2 Explanation of the Data… 

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APA (6th Edition):

Könnemann, F. L. (2014). Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:0db87565-1d65-4dfd-8a15-ac20482372f0

Chicago Manual of Style (16th Edition):

Könnemann, F L. “Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:.” 2014. Masters Thesis, Delft University of Technology. Accessed January 27, 2020. http://resolver.tudelft.nl/uuid:0db87565-1d65-4dfd-8a15-ac20482372f0.

MLA Handbook (7th Edition):

Könnemann, F L. “Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:.” 2014. Web. 27 Jan 2020.

Vancouver:

Könnemann FL. Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2020 Jan 27]. Available from: http://resolver.tudelft.nl/uuid:0db87565-1d65-4dfd-8a15-ac20482372f0.

Council of Science Editors:

Könnemann FL. Performance Impact of Improved Departure Time Prediction Relative to Sector Demand & Arrival Time Predictability:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:0db87565-1d65-4dfd-8a15-ac20482372f0


University of Cincinnati

25. GODBOLE, AMIT ARUN. ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE.

Degree: MS, Engineering : Aerospace Engineering, 2003, University of Cincinnati

 One key element in improving air traffic capacity and efficiency is the ability of the air traffic management system to predict accurately the future position… (more)

Subjects/Keywords: Engineering, Aerospace; air traffic management; trajectory prediction; adaptive control; thrust adaption; rate of climb

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APA (6th Edition):

GODBOLE, A. A. (2003). ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061303791

Chicago Manual of Style (16th Edition):

GODBOLE, AMIT ARUN. “ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE.” 2003. Masters Thesis, University of Cincinnati. Accessed January 27, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061303791.

MLA Handbook (7th Edition):

GODBOLE, AMIT ARUN. “ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE.” 2003. Web. 27 Jan 2020.

Vancouver:

GODBOLE AA. ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE. [Internet] [Masters thesis]. University of Cincinnati; 2003. [cited 2020 Jan 27]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061303791.

Council of Science Editors:

GODBOLE AA. ADAPTIVE IMPROVEMENT OF CLIMB PERFORMANCE. [Masters Thesis]. University of Cincinnati; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1061303791


Delft University of Technology

26. De Leege, A.M.P. Enabling Continuous Descent Operations in High-Density Traffic.

Degree: 2013, Delft University of Technology

 The Air Traffic Management (ATM) community strives to reduce the environmental impact per flight. Continuous Descent Operation (CDO) has been identified by the ATM community… (more)

Subjects/Keywords: Air Traffic Management; Air Traffic Control; Continuous Descent Operation; Continuous Descent Approach; Aircraft; Trajectory Prediction; Time-Space Diagram; Self-Spacing

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APA (6th Edition):

De Leege, A. M. P. (2013). Enabling Continuous Descent Operations in High-Density Traffic. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9

Chicago Manual of Style (16th Edition):

De Leege, A M P. “Enabling Continuous Descent Operations in High-Density Traffic.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed January 27, 2020. http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9.

MLA Handbook (7th Edition):

De Leege, A M P. “Enabling Continuous Descent Operations in High-Density Traffic.” 2013. Web. 27 Jan 2020.

Vancouver:

De Leege AMP. Enabling Continuous Descent Operations in High-Density Traffic. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2020 Jan 27]. Available from: http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9.

Council of Science Editors:

De Leege AMP. Enabling Continuous Descent Operations in High-Density Traffic. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; urn:NBN:nl:ui:24-uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9 ; http://resolver.tudelft.nl/uuid:e5587f19-20f6-43c0-8aeb-50185dbc6fc9

27. Bougueroua, Sana. Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations.

Degree: Docteur es, Informatique, 2017, Paris Saclay

 L’objectif de cette thèse est d’analyser et prédire les conformations d’un système moléculaire en combinant la théorie des graphes et la chimie computationnelle.Dans le cadre… (more)

Subjects/Keywords: Algorithmique des graphes; Algorithme pour la chimo-Informatique; Analyse de trajectoires de dynamique moléculaire; Simulations de dynamique moléculaire; Conformation moléculaire; Prédiction conformationnelle; Algorithms for chemo-Informatics; Graph theory; Molecular dynamics trajectory analysis; Molecular dynamics simulations; Molecular conformation; Conformational prediction; 005.1

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bougueroua, S. (2017). Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLV099

Chicago Manual of Style (16th Edition):

Bougueroua, Sana. “Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations.” 2017. Doctoral Dissertation, Paris Saclay. Accessed January 27, 2020. http://www.theses.fr/2017SACLV099.

MLA Handbook (7th Edition):

Bougueroua, Sana. “Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations.” 2017. Web. 27 Jan 2020.

Vancouver:

Bougueroua S. Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2020 Jan 27]. Available from: http://www.theses.fr/2017SACLV099.

Council of Science Editors:

Bougueroua S. Caractérisation de structures explorées dans les simulations de dynamique moléculaire. : Characterization of structures explored in molecular dynamics simulations. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLV099

28. Salmane, Houssam. Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings.

Degree: Docteur es, Informatique, 2013, Belfort-Montbéliard

Les travaux présentés dans ce mémoire s’inscrivent dans le cadre duprojet PANsafer (Vers un Passage A Niveau plus sûr), lauréat de l’appel ANR-VTT2008. Ce projet… (more)

Subjects/Keywords: Passage à niveau; Système de perception; Situations dangereuses; Sécurité; Détection d’objets; Suivi d’objets; Optimization; Descriptive geometry; Objects detection and tracking; HMM; 2D Trajectory prediction; Decision systems; Dempster-Shafer Theory; Video perception systems; Level crossings; Evaluation of dangerous situation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Salmane, H. (2013). Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings. (Doctoral Dissertation). Belfort-Montbéliard. Retrieved from http://www.theses.fr/2013BELF0205

Chicago Manual of Style (16th Edition):

Salmane, Houssam. “Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings.” 2013. Doctoral Dissertation, Belfort-Montbéliard. Accessed January 27, 2020. http://www.theses.fr/2013BELF0205.

MLA Handbook (7th Edition):

Salmane, Houssam. “Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings.” 2013. Web. 27 Jan 2020.

Vancouver:

Salmane H. Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings. [Internet] [Doctoral dissertation]. Belfort-Montbéliard; 2013. [cited 2020 Jan 27]. Available from: http://www.theses.fr/2013BELF0205.

Council of Science Editors:

Salmane H. Reconstruction et analyse de trajectoires 2D d'objets mobiles par modélisation Markovienne et la théorie de l'évidence à partir de séquences d'images monoculaires - Application à l'évaluation de situations potentiellement dangereuses aux passages à niveau : Reconstruction and analysis of moving objects trajectoiries from monocular images sequences, using Hidden Markov Model and Dempster-Shafer Theory-Application for evaluating dangerous situations in level crossings. [Doctoral Dissertation]. Belfort-Montbéliard; 2013. Available from: http://www.theses.fr/2013BELF0205

29. Aksaray, Derya. Autonomous Hopping Rotochute.

Degree: MS, Aerospace Engineering, 2011, Georgia Tech

 The Hopping Rotochute is a promising micro vehicle with the capability of exploring rough and complex terrains with minimum energy consumption. While it is able… (more)

Subjects/Keywords: Rule-based control; Prediction model; Trajectory-following; Micro vehicle; Micro air vehicles; Drone aircraft; Control theory

…methodology 33 Figure 16: Trajectory-following algorithm 35 Figure 17: Algorithm for the… …planned trajectory 39 Figure 20: 3D volume created from a trajectory 39 Figure 21: Obstacle… …avoidance algorithm 40 Figure 22: Trajectory subjected to wind 41 Figure 23: Gust-tolerant… …model 60 Figure 38: Trajectory-following with the pure algorithm 62 Figure 39: IM arm… …Figure 41: Trajectory-following with the algorithm that includes obstacle avoidance 65 Figure… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aksaray, D. (2011). Autonomous Hopping Rotochute. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39578

Chicago Manual of Style (16th Edition):

Aksaray, Derya. “Autonomous Hopping Rotochute.” 2011. Masters Thesis, Georgia Tech. Accessed January 27, 2020. http://hdl.handle.net/1853/39578.

MLA Handbook (7th Edition):

Aksaray, Derya. “Autonomous Hopping Rotochute.” 2011. Web. 27 Jan 2020.

Vancouver:

Aksaray D. Autonomous Hopping Rotochute. [Internet] [Masters thesis]. Georgia Tech; 2011. [cited 2020 Jan 27]. Available from: http://hdl.handle.net/1853/39578.

Council of Science Editors:

Aksaray D. Autonomous Hopping Rotochute. [Masters Thesis]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39578


Florida International University

30. Shen, Luou. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.

Degree: Civil Engineering, 2008, Florida International University

  Providing transportation system operators and travelers with accurate travel time information allows them to make more informed decisions, yielding benefits for individual travelers and… (more)

Subjects/Keywords: Trajectory Method; Intelligent Transportation System; Travel Time Prediction; Travel Time Estimation; Dynamic Neural Networks; Traffic Detector

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shen, L. (2008). Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. (Thesis). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shen, Luou. “Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.” 2008. Thesis, Florida International University. Accessed January 27, 2020. https://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shen, Luou. “Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks.” 2008. Web. 27 Jan 2020.

Vancouver:

Shen L. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. [Internet] [Thesis]. Florida International University; 2008. [cited 2020 Jan 27]. Available from: https://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen L. Freeway Travel Time Estimation and Prediction Using Dynamic Neural Networks. [Thesis]. Florida International University; 2008. Available from: https://digitalcommons.fiu.edu/etd/17 ; 10.25148/etd.FI08121916 ; FI08121916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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