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101–150 von 1,032 Ergebnissen
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    Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach

    Mak, Stephen / Xu, Liming / Pearce, Tim et al. | Elsevier | 2023
    Schlagwörter: Deep multi-agent reinforcement learning , Machine learning

    Spacecraft attitude fault-tolerant stabilization against loss of actuator Effectiveness: A novel iterative learning sliding mode approach

    Jia, Qingxian / Ma, Rui / Zhang, Chengxi et al. | Elsevier | 2023
    Schlagwörter: Iterative Learning observer , Iterative Learning sliding mode control

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Transfer learning

    Trustworthy safety improvement for autonomous driving using reinforcement learning

    Cao, Zhong / Xu, Shaobing / Jiao, Xinyu et al. | Elsevier | 2022
    Schlagwörter: Reinforcement Learning

    Safer tomorrow: Irish dairy farmers’ self-perception of their farm safety practices

    O'Connor, Tracey / Kinsella, Jim / O'Hora, Denis et al. | Elsevier | 2022
    Schlagwörter: Social learning

    Learning and managing stochastic network traffic dynamics with an aggregate traffic representation

    Liu, Wei / Szeto, Wai Yuen | Elsevier | 2019
    Schlagwörter: Learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    Imbalanced satellite telemetry data anomaly detection model based on Bayesian LSTM

    Chen, Junfu / Pi, Dechang / Wu, Zhiyuan et al. | Elsevier | 2020
    Schlagwörter: Bayesian deep learning

    Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems

    Lei, Zengxiang / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning

    Towards efficient airline disruption recovery with reinforcement learning

    Ding, Yida / Wandelt, Sebastian / Wu, Guohua et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning

    Quantifying the social impacts of the London Night Tube with a double/debiased machine learning based difference-in-differences approach

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2022
    Schlagwörter: Causal machine learning , Double/debiased machine learning

    Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu

    Tu, Meiting / Li, Wenxiang / Orfila, Olivier et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending

    Dai, Xingyuan / Fu, Rui / Zhao, Enmin et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    A data-driven decision support system for service completion prediction in last mile logistics

    Pegado-Bardayo, Ana / Lorenzo-Espejo, Antonio / Muñuzuri, Jesús et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    University based interdisciplinary space lab: Designing for astronaut health and wellbeing

    Alexander, Sasha / Bannova, Olga | Elsevier | 2021
    Schlagwörter: Experiential learning

    Computer-based training for safety: Comparing methods with older and younger workers

    Wallen, Erik S. / Mulloy, Karen B. | Elsevier | 2006
    Schlagwörter: Computer-based learning , Adult learning

    A machine learning approach for accurate crop type mapping using combined SAR and optical time series data

    Tufail, Rahat / Ahmad, Adeel / Javed, Muhammad Asif et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach

    Gerardo Muros Anguita, Juan / Díaz Olariaga, Oscar | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    Dynamic modelling of travellers’ social interactions and social learning

    Sunitiyoso, Yos / Avineri, Erel / Chatterjee, Kiron | Elsevier | 2013
    Schlagwörter: Social learning

    Accuracy of reinforcement learning algorithms for predicting aircraft taxi-out times: A case-study of Tampa Bay departures

    Balakrishna, Poornima / Ganesan, Rajesh / Sherry, Lance | Elsevier | 2010
    Schlagwörter: Reinforcement learning

    Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

    Wen, Xiao / Xie, Yuanchang / Wu, Lingtao et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Reinforcement learning framework for freight demand forecasting to support operational planning decisions

    Al Hajj Hassan, Lama / Mahmassani, Hani S. / Chen, Ying | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Factors impacting bike crash severity in urban areas

    Dash, Ishita / Abkowitz, Mark / Philip, Craig | Elsevier | 2022
    Schlagwörter: Machine learning

    Online operations of automated electric taxi fleets: An advisor-student reinforcement learning framework

    Tang, Xindi / Li, Meng / Lin, Xi et al. | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Organizational effects of experience from accidents. Learning in the aftermath of the Tretten and Åsta train accidents

    Braut, Geir Sverre / Solberg, Øivind / Njå, Ove | Elsevier | 2014
    Schlagwörter: Learning

    Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms

    Kuşkapan, Emre / Çodur, M. Yasin / Atalay, Ahmet | Elsevier | 2021
    Schlagwörter: Machine learning

    Dynamic governance decisions on multi-modal inter-city travel during a large-scale epidemic spreading

    An, Yunlong / Lin, Xi / Li, Meng et al. | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Improving seat belt use among teen drivers: Findings from a service-learning approach

    Goldzweig, Irwin A. / Levine, Robert S. / Schlundt, David et al. | Elsevier | 2013
    Schlagwörter: Service-learning

    General multi-agent reinforcement learning integrating adaptive manoeuvre strategy for real-time multi-aircraft conflict resolution

    Chen, Yutong / Hu, Minghua / Yang, Lei et al. | Elsevier | 2023
    Schlagwörter: Multi-agent reinforcement learning , Deep q-learning network

    Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework

    Li, Jinlong / Xu, Zhigang / Fu, Lan et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Applying deep learning models to twitter data to detect airport service quality

    Barakat, H. / Yeniterzi, R. / Martín-Domingo, L. | Elsevier | 2020
    Schlagwörter: Deep learning

    Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets

    Huber, Martin / Meier, Jonas / Wallimann, Hannes | Elsevier | 2022
    Schlagwörter: Causal machine learning , Double machine learning

    A random forest algorithm for nowcasting of intense precipitation events

    Das, Saurabh / Chakraborty, Rohit / Maitra, Animesh | Elsevier | 2017
    Schlagwörter: Machine learning

    A data-driven operational model for traffic at the Dallas Fort Worth International Airport

    Lunacek, Monte / Williams, Lindy / Severino, Joseph et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A clustering-based quantitative analysis of the interdependent relationship between spatial and energy anomalies in ADS-B trajectory data

    Corrado, Samantha J. / Puranik, Tejas G. / Fischer, Olivia Pinon et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Six degree-of-freedom body-fixed hovering over unmapped asteroids via LIDAR altimetry and reinforcement meta-learning

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea

    Choi, Seung Jun / Jiao, Junfeng / Lee, Hye Kyung et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Semi-supervised route choice modeling with sparse Automatic vehicle identification data

    Cao, Qi / Ren, Gang / Li, Dawei et al. | Elsevier | 2020
    Schlagwörter: Semi-supervised learning

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Optimization of One versus All-SVM using AdaBoost algorithm for rainfall classification and estimation from multispectral MSG data

    Belghit, Amar / Lazri, Mourad / Ouallouche, Fethi et al. | Elsevier | 2022
    Schlagwörter: Machine Learning

    Recurrent and convolutional neural networks for deep terrain classification by autonomous robots

    Vulpi, Fabio / Milella, Annalisa / Marani, Roberto et al. | Elsevier | 2020
    Schlagwörter: Deep-learning

    Machine learning in planetary rovers: A survey of learning versus classical estimation methods in terramechanics for in situ exploration

    Lopez-Arreguin, Amenosis Jose Ramon / Montenegro, Sergio | Elsevier | 2021
    Schlagwörter: Machine learning

    A literature review of machine learning algorithms for crash injury severity prediction

    Santos, Kenny / Dias, João P. / Amado, Conceição | Elsevier | 2021
    Schlagwörter: Machine learning

    Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

    Chen, Xiqun (Michael) / Zahiri, Majid / Zhang, Shuaichao | Elsevier | 2016
    Schlagwörter: Ensemble learning

    Terminal adaptive guidance via reinforcement meta-learning: Applications to autonomous asteroid close-proximity operations

    Gaudet, Brian / Linares, Richard / Furfaro, Roberto | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Path planning for asteroid hopping rovers with pre-trained deep reinforcement learning architectures

    Jiang, Jianxun / Zeng, Xiangyuan / Guzzetti, Davide et al. | Elsevier | 2020
    Schlagwörter: Deep reinforcement learning

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning