Md Abdus Samad Kamal 研究室
主宰者:Md Abdus Samad Kamal
群馬大学
AI 要約(直近 5 年の研究成果)
要約はまだ生成されていません。
※ AI(Claude)が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。
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関連研究室
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研究成果(100 件)
- DOI: https://doi.org/10.11591/ijai.v15.i3.pp2674-2684
- DOI: https://doi.org/10.56578/mits050203
- DOI: https://doi.org/10.1088/1742-6596/3180/1/012064
- DOI: https://doi.org/10.46254/ap07.20260094
- DOI: https://doi.org/10.46254/ap07.20260180
- [2026] RDD-SPA: An efficient visual recognition algorithm for robot-assisted rapeseed pest control systemsDOI: https://doi.org/10.1016/j.indcrop.2026.122838
- DOI: https://doi.org/10.1088/1742-6596/3180/1/012006
- DOI: https://doi.org/10.1049/icp.2025.4421
- DOI: https://doi.org/10.1049/icp.2025.4449
- DOI: https://doi.org/10.1155/er/5435925
続きを表示(残り 90 件)閉じる
- DOI: https://doi.org/10.3390/systems14070793
- DOI: https://doi.org/10.1002/ese3.70601
- DOI: https://doi.org/10.3390/app16136541
- DOI: https://doi.org/10.32604/cmc.2025.070222
- DOI: https://doi.org/10.3390/su17209093
- DOI: https://doi.org/10.1016/j.scs.2025.106864
- DOI: https://doi.org/10.1063/5.0246189
- DOI: https://doi.org/10.23919/siceiscs65372.2025.10947708
- [2025] Enhanced YOLOv8: improving vehicle detection in hazy conditions with Swin Transformer and AOD-NetDOI: https://doi.org/10.1049/icp.2024.4310
- DOI: https://doi.org/10.23919/siceiscs65372.2025.10947656
- DOI: https://doi.org/10.14569/ijacsa.2025.0160455
- DOI: https://doi.org/10.14569/ijacsa.2025.0161088
- DOI: https://doi.org/10.14569/ijacsa.2025.0160683
- [2025] Cloud-Enabled Model Predictive Control for Optimized Vehicle Platooning in Urban TransportationDOI: https://doi.org/10.46254/au04.20250153
- DOI: https://doi.org/10.24036/teknomekanik.v8i2.36072
- DOI: https://doi.org/10.56578/ijtdi090405
- DOI: https://doi.org/10.1080/18824889.2025.2596874
- DOI: https://doi.org/10.1109/becithcon69222.2025.11504077
- DOI: https://doi.org/10.1109/ecti-con64996.2025.11101181
- DOI: https://doi.org/10.3390/machines13050365
- DOI: https://doi.org/10.46254/au04.20250213
- DOI: https://doi.org/10.1109/itsc60802.2025.11423497
- DOI: https://doi.org/10.3390/sci6040084
- DOI: https://doi.org/10.1109/ecti-con60892.2024.10594787
- DOI: https://doi.org/10.1109/ecti-con60892.2024.10594952
- DOI: https://doi.org/10.1109/rivf64335.2024.11009108
- DOI: https://doi.org/10.1109/atc63255.2024.10908283
- DOI: https://doi.org/10.1109/atc63255.2024.10908297
- [2024] Optimizing Multi-Mobility Systems in Smart Satellite Cities: A Case Study of Kiryu City, JapanDOI: https://doi.org/10.46254/ap05.20240113
- DOI: https://doi.org/10.46254/ap05.20240117
- DOI: https://doi.org/10.3844/jcssp.2024.1270.1280
- DOI: https://doi.org/10.1016/j.jenvman.2024.122245
- DOI: https://doi.org/10.5815/ijcnis.2024.04.02
- DOI: https://doi.org/10.3390/biomimetics9070407
- DOI: https://doi.org/10.3390/a17060240
- DOI: https://doi.org/10.1109/iv55156.2024.10588832
- DOI: https://doi.org/10.1109/ecti-con60892.2024.10594915
- DOI: https://doi.org/10.1109/ecti-con60892.2024.10594947
- DOI: https://doi.org/10.3390/su16104145
- DOI: https://doi.org/10.3390/biomedinformatics4020070
- DOI: https://doi.org/10.3390/info15050256
- [2024] Eco-Driving on Hilly Roads in a Mixed Traffic Environment: A Model Predictive Control ApproachDOI: https://doi.org/10.3390/act13040144
- DOI: https://doi.org/10.1109/tiv.2024.3357983
- DOI: https://doi.org/10.14569/ijacsa.2024.0150460
- DOI: https://doi.org/10.1109/access.2024.3393970
- DOI: https://doi.org/10.1109/access.2023.3321804
- DOI: https://doi.org/10.23919/sice59929.2023.10354108
- DOI: https://doi.org/10.2139/ssrn.4357701
- [2023] Optimal eco-driving scheme for reducing energy consumption and carbon emissions on curved roadsDOI: https://doi.org/10.1016/j.heliyon.2023.e23586
- DOI: https://doi.org/10.46254/au02.20230248
- DOI: https://doi.org/10.1016/j.bspc.2023.105691
- DOI: https://doi.org/10.3390/electronics12183779
- [2023] Improved EEG-based emotion recognition through information enhancement in connectivity feature mapDOI: https://doi.org/10.1038/s41598-023-40786-2
- DOI: https://doi.org/10.1109/ecti-con58255.2023.10153253
- DOI: https://doi.org/10.1109/ecti-con58255.2023.10153248
- DOI: https://doi.org/10.1109/ecti-con58255.2023.10153254
- DOI: https://doi.org/10.1109/ecti-con58255.2023.10153311
- DOI: https://doi.org/10.1017/s0263574723000061
- DOI: https://doi.org/10.3390/su15032638
- DOI: https://doi.org/10.1109/ica-symp56348.2023.10044946
- DOI: https://doi.org/10.3390/electronics12020472
- DOI: https://doi.org/10.1038/s41598-022-27026-9
- DOI: https://doi.org/10.3390/s23020611
- DOI: https://doi.org/10.1109/access.2023.3264845
- [2022] Two Stop-Line Method for Modern T-Shape Roundabout: Evaluation of Capacity and Optimal Signal CycleDOI: https://doi.org/10.1155/2022/7679496
- DOI: https://doi.org/10.3844/jcssp.2022.1170.1178
- DOI: https://doi.org/10.3390/electronics11152362
- DOI: https://doi.org/10.3390/math10142448
- DOI: https://doi.org/10.3390/act11070184
- DOI: https://doi.org/10.1109/icbir54589.2022.9786432
- DOI: https://doi.org/10.1109/ecti-con54298.2022.9795390
- DOI: https://doi.org/10.1017/s0263574722000194
- DOI: https://doi.org/10.3390/su14031807
- DOI: https://doi.org/10.3390/app12020929
- [2022] Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filterDOI: https://doi.org/10.1016/j.amc.2022.126915
- DOI: https://doi.org/10.3390/app11156958
- DOI: https://doi.org/10.26776/ijemm.06.03.2021.12
- DOI: https://doi.org/10.1109/iv48863.2021.9575314
- DOI: https://doi.org/10.1109/eict54103.2021.9733651
- DOI: https://doi.org/10.1109/tvt.2021.3132936
- DOI: https://doi.org/10.3390/electronics10091036
- DOI: https://doi.org/10.3390/nano11123166
- DOI: https://doi.org/10.1109/iceeict53905.2021.9667850
- DOI: https://doi.org/10.3844/jcssp.2021.1000.1010
- DOI: https://doi.org/10.3390/s21196533
- DOI: https://doi.org/10.3390/smartcities4020044
- DOI: https://doi.org/10.1155/2021/7905609
- DOI: https://doi.org/10.25046/aj060340
- DOI: https://doi.org/10.1109/icma52036.2021.9512692
- DOI: https://doi.org/10.1016/j.matpr.2021.07.228
科研費(0 件)
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所属学会・役職(0 件)
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