LEAMING

作品数：66被引量：876H指数：5
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Human as AI mentor.Enhanced human-in the-loop reinforcement leaming for safe and efficient autonomous driving被引量：1
《Communications in Transportation Research》2024年第1期124-147,共24页Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 
Despite significant progress in autonomous vehicles(AVs),the development of driving policies that ensure both the safety of AVs and traffic flow efficiency has not yet been fully explored.In this paper,we propose an e...
关键词：Human as AI mentor paradigm Autonomous driving Deep reinforcement learning Human-in-the-loop learning Driving policy Mixed traffic platoon 
A self-learning human-machine cooperative control method based on driver intention recognition
《CAAI Transactions on Intelligence Technology》2024年第5期1101-1115,共15页Yan Jiang Yuyan Ding Xinglong Zhang Xin Xu Junwen Huang 
National Natural Science Foundation of China under Grant 61825305,62003361,U21A20518.
Human-machine cooperative control has become an important area of intelligent driving,where driver intention recognition and dynamic control authority allocation are key factors for improving the performance of cooper...
关键词：Self-leaming Control Hmman-machine Cooperation Intelligent Vehicles Reinfocement Learning 
Guillaume Broux-Quemerais,Sarah Kaakai, Anis Matoussi,Wissal Sabbagh
《Probability, Uncertainty and Quantitative Risk》2024年第2期149-180,共32页Guillaume Broux-Quemerais Sarah Kaakarl Anis Matoussi Wissal Sabbagh 
The authors research is part of the ANR project DREAMeS(ANR-21-CE46-0002)and benefited from the support of respectively the "Chair Risques Emergents en Assurance"and"Chair Impact de la Transition Climatique en Assurance"under the aegis of Fondation du Risque,a joint initiative by Risk and Insurance Institute of Le Mans,and MMA-Covea and Groupama respectively.
In this paper,we present a probabilistic numerical method for a class of forward utilities in a stochastic factor model.For this purpose,we use the representation of forward utilities using the ergodic Backward Stocha...
关键词：Deep leaming scheme Forward utilities Ergodic BSDEs Markovian solution Deep learning algorithm 
Pore pressure prediction in offshore Niger delta using data-driven approach: Implications on drilling and reservoir quality
《Energy Geoscience》2023年第3期252-265,共14页Joshua Pwavodi Ibekwe N.Kelechi Perekebina Angalabiri Sharon Chioma Emeremgini Vivian O.Oguadinma 
Despite exploration and production success in Niger Delta,several failed wells have been encountered due to overpressures.Hence,it is very essential to understand the spatial distribution of pore pressure and the gene...
关键词：Niger Delta Pore pressure RESERVOIR Fracturing pressure Artifidal neural network Machine leaming algorithm Random forest regression 
Toward a data analytics -based approach for computing and predicting context- sensitive teaching effectiveness
《Data Science and Informetrics》2021年第4期26-46,共21页Kun Tian Ying He Xiaoran Xu Jiangyang Fu 
The work in this paper is jointly funded by Tianjin Municipality Natural Science Foundation(18JCYBJC44500);the National Social Science Foundation of China(No.20BTQ084).
The traditional student-oriented course evaluation has been the major assessment method on teaching effectiveness worldwide.Useful as it is,it has been widely and continuously criticized for not being a fair,accurate,...
关键词：Relative teaching effectiveness Data science application Blockchain Context-based leaming Token economy 
DeepPredict:A Zone Preference Prediction System for Online Lodging Platforms被引量：1
《Journal of Social Computing》2021年第1期52-70,共19页Yihan Ma Hua Sun Yang Chen Jiayun Zhang Yang Xu Xin Wang Pan Hui 
This work was sponsored by the National Natural Science Foundation of China(Nos.71731004,62072115,61602122,and 61971145);Shanghai Pujiang Program(No.2020PJD005);the Research Grants Council of Hong Kong(No.16214817);the 5GEAR Project and FIT Project from the Academy of Finland.
Online lodging platforms have become more and more popular around the world.To make a booking in these platforms,a user usually needs to select a city first,then browses among all the prospective options.To improve th...
关键词：online lodging platform zone preference prediction deep leaming 
Determining node duty cycle using Q-learning and linear regression for WSN
《Frontiers of Computer Science》2021年第1期17-23,共7页Han Yao HUANG Kyung Tae KIM Hee Yong YOUN 
This work was partly supported by Institute for Information&communications Technology Promotion(IITP)grant funded by the Korea government(MSIT)(No.2016-0-00133,Research on Edge computing via collective intelligence of hyper-connection IoT nodes),Korea,under the National Program for Excellence in SW supervised by the IITP(Institute for Information&communications Technology Promotion)(2015-0-00914),Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science and Technology(2016R1A6A3A11931385,Research of key technologies based on software defined wireless sensor network for real time public safety service,2017R1A2B2009095,Research on SDN-based WSN Supporting Realtime Stream Data Processing and Multi-connectivity),the second Brain Korea 21 PLUS project.
Wireless sensor network(WSN)is effective for monitoring the target environment,which consists of a large number of sensor nodes of limited energy.An efficient medium access control(MAC)protocol is thus imperative to m...
关键词：wireless sensor network media access control duty-cycle scheduling Q-leaming linear regression 
Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale被引量：4
《Artificial Intelligence in Geosciences》2020年第1期1-10,共10页Fabrizio Magrini Dario Jozinovic Fabio Cammarano Alberto Michelini Lapo Boschi 
Machine learning is becoming increasingly important in scientific and technological progress,due to its ability to create models that describe complex data and generalize well.The wealth of publicly-available seismic ...
关键词：Benchmark dataset Earthquake detection algorithm Supervised machine leaming SEISMOLOGY 
A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability:Exploration from historical data
《Frontiers of Structural and Civil Engineering》2020年第6期1476-1491,共16页Mahmood AHMAD Xiao-Wei TANG Jiang-Nan QIU Feezan AHMAD Wen-Jing GU 
The research presented in this paper was part of the research sponsored by the National Key Research&Development Plan of China(Nos.2018YFC1505305 and 2016YFE0200100);Key Program of the National Natural Science Foundation of China(Grant No.51639002);Much gratitude is extended to the experts for their opinions on the BBN model building.
The unprecedented liquefaction-related land damage during earthquakes has highlighted the need to develop a model that better interprets the liquefaction land damage vulnerability(LLDV)when determining whether liquefa...
关键词：Bayesian belief network liquefaction-induced damage potential cone penetration test soil liquefaction structural leaming and domain knowledge 
Distance-directed Target Searching for a Deep Visual Servo SMA Driven Soft Robot Using Reinforcement Learning被引量：2
《Journal of Bionic Engineering》2020年第6期1126-1138,共13页Wuji Liu Zhongliang Jing Han Pan Lingfeng Qiao Henry Leung Wujun Chen 
This work was supported in part by the National Natural Science Foundation of China(Grant no.61673262);in part by the key project of Science and Technology Commission of Shanghai Municipality(Grant no.16JC1401100).
Performing complex tasks by soft robots in constrained environment remains an enormous challenge owing to the limitations of flexible mechanisms and control methods.In this paper,a novel biomimetic soft robot driven b...
关键词：biomimetic soft robot SMA deep visual servo Q-leaming 
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