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检索条件"机构=Department of Computer Science and Research Group on Development of Intelligent Environments"
49 条 记 录,以下是31-40 订阅
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Using analytic hierarchy process to evaluate deep learning for infrared target recognition
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Multimedia Tools and Applications 2024年 第38期83卷 86229-86245页
作者: Xu, Laixiang Cao, Bingxu Wei, Xinhong Li, Bei Su, Jingfeng Ning, Shiyuan Zhao, Junmin School of Computer and Data Science Henan University of Urban Construction Pingdingshan467036 China School of Information Engineering Luohe Vocational Technology College Henan University of Technology Luohe Institute of Technology Luohe462000 China School of Computer and Data Science Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Pingdingshan467036 China School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Henan University of Urban Construction Pingdingshan467036 China Department of Software Information China Electronics Technology Group Corporation 36-th Research Institute Jiaxing314033 China School of Computer and Data Science Research Center of Smart City and Big Data Engineering of Henan Province Research Center of Intelligent Campus Application Engineering of Henan Province Innovation Laboratory of Smart Traffic and Big Data Development of Hainan Province Henan University of Urban Construction Pingdingshan467036 China
In order to promote the evaluation performance of deep learning infrared automatic target recognition (ATR) algorithms in the complex environment of air-to-air missile research, we proposed an analytic hierarchy proce... 详细信息
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Intensive summer course in robotics – Robotcraft
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Applied Computing and Informatics 2018年 第1-2期16卷 155-179页
作者: Ferreira, N.M. Fonseca Araujo, André Couceiro, M.S. Portugal, David Department of Electrical Engineering (DEE) Engineering Institute of Coimbra (ISEC) Polytechnic of Coimbra (IPC) Rua Pedro Nunes – Quinta da Nora Coimbra Portugal GECAD - Knowledge Research Group on Intelligent Engineering and Computing for Advanced Innovation Development of the Engineering Institute of Porto (ISEP) Polytechnic Institute of Porto (IPP) Porto Portugal INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto Portugal Ingeniarius Lda Coimbra Portugal
This paper describes a two-month summer intensive course designed to introduce participants with a hands-on technical craft on robotics and to acquire experience in the low-level details of embedded systems. Attendant... 详细信息
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Spatial health systems when humans move around
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2015年 8700卷 41-69页
作者: Gottfried, Björn Aghajan, Hamid Wong, Kevin Bing-Yung Augusto, Juan Carlos Guesgen, Hans Werner Kirste, Thomas Lawo, Michael Centre for Computing and Communication Technologies University of Bremen Bremen Germany Lab Stanford University Stanford United States iMinds Ghent University Ghent Belgium Research Group on the Development of Intelligent Environments Middlesex University London United Kingdom School of Engineering and Advanced Technology Massey University Palmerston North New Zealand Department of Computer Science University of Rostock Rostock Germany
This chapter outlines spatial health systems and discusses issues regarding their technical implementation and employment. This concerns in particular diseases which manifest themselves in the spatiotemporal behaviour... 详细信息
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Preface to the Journal of Smart Cities and Society issue 3(2)
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Journal of Smart Cities and Society 2024年 第PRE-PRESS期Pre-press卷 81-81页
作者: Augusto, Juan Carlos Department of Computer Science Middlesex University London UK Research Group on Development of Intelligent Environments Middlesex University London UK
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Preface
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Journal of Reliable intelligent environments 2019年 第2期5卷 65-65页
作者: Coronato, Antonio Augusto, Juan Carlos Institute for High Performance Computing and Networking National Research Council Naples Italy Research Group on Development of Intelligent Environments Department of Computer Science Middlesex University London United Kingdom
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Proposal of Axial-gap type Magnetic Multiple Spur Gear for In-wheel Motor System of Electric Vehicle
Proposal of Axial-gap type Magnetic Multiple Spur Gear for I...
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IEEE International Conference on Electric Machines and Drives (IEMDC)
作者: Taiga Kamijo Kohei Aiso Kan Akatsu Yasuaki Aoyama Electrical Engineering and Computer Science Shibaura Institute of Technology Tokyo Japan Department of Electrical Engineering Shibaura Institute of Technology Tokyo Japan Department of Faculty of Engineering Division of Intelligent Systems Engineering Yokohama National University Yokohama Japan Center for Technology Innovation - Materials Hitachi Ltd. Research & Development Group Ibaraki Japan
Magnetic gears have the characteristics of maintenance-free, low noise, and low vibration due to non-contact power transmission. By taking advantage of the non-contact power transmission, the motor system can be made ...
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Investigation on Structures of Axial Gap Type Magnetic Multiple Spur Gear for In-Wheel Motor System of Electric Vehicle
Investigation on Structures of Axial Gap Type Magnetic Multi...
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IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific)
作者: Taiga Kamijo Kohei Aiso Kan Akatsu Yasuaki Aoyama Electrical Engineering and Computer Science Shibaura Institute of Technology Tokyo Japan Department of Electrical Engineering Shibaura Institute of Technology Tokyo Japan Department of Faculty of Engineering Division of Intelligent Systems Engineering Yokohama National University Yokohama Japan Center for Technology Innovation - Materials Hitachi Ltd. Research & Development Group Ibaraki Japan
A novel drive system using Magnetic Multiple Spur Gear (MMSG) and multiple high-speed motors is characterized by small size, lightweight, and high efficiency even at high-speed region, it is expected to apply to in-wh...
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Imagining and building wise machines: The centrality of AI metacognition
arXiv
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arXiv 2024年
作者: Johnson, Samuel G.B. Karimi, Amir-Hossein Bengio, Yoshua Chater, Nick Gerstenberg, Tobias Larson, Kate Levine, Sydney Mitchell, Melanie Rahwan, Iyad Schölkopf, Bernhard Grossmann, Igor University of Waterloo Department of Psychology Canada University of Waterloo Department of Electrical and Computer Engineering Canada Université de Montréal Department of Computer Science and Operations Research Canada Warwick Business School Behavioural Science Group United Kingdom Stanford University Department of Psychology United States University of Waterloo Cheriton School of Computer Science Canada Allen Institute for Artificial Intelligence United States Santa Fe Institute United States Max Planck Institute for Human Development Germany Max Planck Institute for Intelligent Systems Germany
Recent advances in artificial intelligence (AI) have produced systems capable of increasingly sophisticated performance on cognitive tasks. However, AI systems still struggle in critical ways: unpredictable and novel ... 详细信息
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Ekrucami architecture-applications in healthcare domain
Frontiers in Artificial Intelligence and Applications
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Frontiers in Artificial Intelligence and Applications 2017年 298卷 140-152页
作者: Ramos, Carlos Martinho, Diogo Marreiros, Goreti Villarrubia, Gabriel De Paz, Juan F. Corchado, Juan M. Ko, Hoon Kim, Haeng-Kon Yoe, Hyun GECAD-Research Group Intelligent Engineering and Computing for Advanced Innovation Development Institute of Engineering-Polytechnic Porto Portugal Departamento de Informática y Automática Universidad de Salamanca Plaza de la Merced s/n Salamanca37008 Spain Department of Computer Science and Engineering Sungkyunkwan University Korea Republic of Daegu Catholic University Korea Republic of Suncheon National University Korea Republic of
Ambient Intelligence is a paradigm in Artificial Intelligence which promotes intelligent computing and responds to the necessities of every person in many different environments whether it is a home, classroom, a shop... 详细信息
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Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age
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Nature Ecology & Evolution 2025年 1-12页
作者: Stephen Pringle Jessica C. Fisher Gail E. Austen Jake E. Bicknell Nicolas J. Deere Mohammad S. Farhadinia Charlie J. Gardner Richard A. Griffiths Daniel J. Ingram Matthew J. Struebig Natalie Yoh Zoe G. Davies Martin Dallimer Mark A. Goddard Katherine C. R. Baldock Miranda T. Prendergast-Miller Léni K. Le Goff Emma Hart Simón C. Smith Simon J. Langdale Sara-Adela Abad Marc Ancrenaz Fabio Angeoletto Fernando Auat Cheein Joseph J. Bailey Lindsay F. Banin Cristina Banks-Leite Aliyu S. Barau Reshu Bashyal Adam J. Bates Jon Bielby Serge Wich Christopher D. Williams Petra Bosilj Marc Hanheide Emma R. Bush Simon J. Butler Dan Carpenter Christopher F. Clements Antoine Cully Kendi F. Davies Brett A. Melbourne Michael Dodd Rosie Drinkwater Don A. Driscoll Guillaume Dutilleux Mads Dyrmann David P. Edwards Aisyah Faruk Richard Field Franziska Schrodt Robert J. Fletcher Chris W. Foster Richard Fox Richard M. Francksen Aldina M. A. Franco Alison M. Gainsbury Ioanna Giorgi Giovanni L. Masala Salua Hamaza Matt W. Hayward Marcus Hedblom Thorunn Helgason Sui P. Heon Kevin A. Hughes Edmund R. Hunt George Jackson-Mills Kelly Jowett Timothy H. Keitt Laura N. Kloepper Stephanie Kramer-Schadt Jim Labisko Frédéric Labrosse Jenna Lawson Nicolas Lecomte Ricardo F. de Lima Nick A. Littlewood Harry H. Marshall Lindsay C. Maskell Eleni Matechou Barbara Mazzolai Alistair McConnell Aslan Miriyev Eric Djomo Nana Alessandro Ossola Sarah Papworth Catherine L. Parr Ana Payo-Payo Gad Perry Nathalie Pettorelli Marcus Rowcliffe Rajeev Pillay Simon G. Potts Lan Qie Carl D. Soulsbury Persie Rolley-Parnell Stephen J. Rossiter Heather Rumble Jon P. Sadler Christopher J. Sandom Asiem Sanyal Sarab S. Sethi Adi Shabrani Robert Siddall Robbert P. H. Snep Margaret C. Stanley Philip A. Stephens P. J. Stephenson Matthew Studley Martin Svátek Gilbert Tang Nicholas K. Taylor Kate D. L. Umbers Robert J. Ward Patrick J. C. White Mark J. Whittingham Ibrahim B. Yakubu Syed A. R. Zaidi Anna Zmarz Joeri A. Zwerts Durrell Institute of Conservation and Ecology (DICE) School of Natural Sciences University of Kent Canterbury UK Centre for Environmental Policy Imperial College London London UK Department of Geography and Environmental Sciences Northumbria University Newcastle upon Tyne UK School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh UK Synthotech Ltd Milner Court Hornbeam Square Harrogate UK Mechanical Engineering Department University College London London UK HUTAN SWD Kota Kinabalu Malaysia Programa de Pós-Graduação em Gestão e Tecnologia Ambiental da Universidade Federal de Rondonópolis Rondonópolis Brasil Department of Engineering Harper Adams University Newport UK Applied Ecology Research Group School of Life Sciences Anglia Ruskin University Cambridge UK Centre for Ecology and Hydrology Penicuik UK Department of Life Sciences Imperial College London Silwood Park Campus Ascot UK Department of Urban and Regional Planning Faculty of Earth and Environmental Sciences Bayero University Kano Nigeria Greenhood Nepal Kathmandu Nepal Animal Rural & Environmental Sciences Nottingham Trent University Nottinghamshire UK School of Biological and Environmental Sciences Liverpool John Moores University Liverpool UK Lincoln Centre for Autonomous Systems University of Lincoln Lincoln UK Royal Botanic Garden Edinburgh Edinburgh UK School of Biological Sciences University of East Anglia Norwich Research Park Norwich UK Digital Ecology Limited Bristol UK School of Biological Sciences University of Bristol Bristol UK Department of Computing Imperial College London London UK Department of Ecology and Evolutionary Biology University of Colorado Boulder CO USA Faculty of Science Technology Engineering and Mathematics (STEM) The Open University Walton Hall Milton Keynes UK Palaeogenomics Group Faculty of Veterinary Medicine Ludwig Maximilian University Munich Munich Germany School of Life and Environmental Sciences
With biodiversity loss escalating globally, a step change is needed in our capacity to accurately monitor species populations across ecosystems. Robotic and autonomous systems (RAS) offer technological solutions that ...
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