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ORCIDICRAI 2024: Singapore
- Proceedings of the 2024 10th International Conference on Robotics and Artificial Intelligence, ICRAI 2024, Singapore, November 15-17, 2024. ACM 2024, ISBN 979-8-4007-1745-1
- Ipshita Ahmed Moon
, Humayra Rashid, Safayat Hasan, Md. Sameer Iqbal Chowdhury, Shifat E. Arman, Lafifa Jamal:
Exploring the Efficacy of NAO Robot as a Language Instructor. 1-8 - Feng Zhang, Rui Lin, Jian Hu, Qichao Wu:
Efficient deep reinforcement learning-based multirobot path planning. 9-16 - Valerii Chernov, Alexey S. Matveev:
Optimal Circumnavigation of Unpredictably Moving Formations of Targets by a Nonholonomic Underactuated Mobile Robot. 17-23 - Qihang Chen, Chengxiang Xie, Sutthiphong Srigrarom, Boo Cheong Khoo:
3D Reconstruction of Indoor Environment Using RGB-D Camera Based on ORB SLAM3. 24-30 - Hongjiang Ye, Shaohui Mai, Mingchun Wang, Min Gao, Yuanyuan Fei:
Coarse-to-fine Automatic Segmentation and Labeling for Urban MLS Point Clouds. 31-36 - An Wen, Kai Yu, Lu Wan, Yizhou Pan, Jiapeng Zhang, Qiang Wang:
Improving Small Object Detection with Convolutional Attention Module. 37-44 - Chiabwoot Ratanavilisagul:
Modified Particle Swarm Optimization and Machine Learning for Solving Handwritten English Characters. 45-50 - Lang Yang, Yanan Yu, Hongli Zhao, Erjie Li, Zhengxuan Guo:
Occluded Pedestrian Re-identification Based on Pose-guided Feature Enhancement. 51-55 - Zihan Zhou, Yi Wang, Junyao Gao:
TF-AMSKPconv: Spatio-temporal Feature Fusion Based Semantic Segmentation Of Dynamic Point Clouds For Autonomous Driving Lidar. 56-63 - Aneesh K. B, Shreyas C, Shreyas M. N, Suma Grandhi, Bhaskarjyoti Das:
Enhancing Multimodal Knowledge Graph Embeddings Using Visual Prompting in Language Models. 64-71 - Yiqun Gui, Zhiqian Li, Junyang Xiao, Yihong Xu, Kai Yang:
Optimization of LSTM Neural Networks Based on CNN for Power Load Forecasting Research. 72-79 - Fang Tang, Vinh Pham, Raphael Napinas, Alfredo Siguenza:
Research Experience for Undergraduates to Explore Human-Robot Interaction and Machine Learning with Spot. 80-85 - Christopher Kevin Siswanto, Máté Kovács, Uwe Serdült:
Balancing Performance and Computational Cost for Online Petition Processing. 86-92 - Mohammed Sharraf Uddin, Kazi Zunayed Quader Knobo, Jannatul Ferdoshi, Shabab Abdullah, MD. Aquib Azmain:
Enhancing Software Quality: Python Code Smell Detection using Machine Learning techniques and Refactoring Long Methods using Extract Method Algorithm. 93-102 - Máté Kovács, Daniil Buryakov, Didier Gohourou, Uwe Serdült:
Temporal Dynamics and Success Patterns of Online Petitions: A Time-Series Clustering Approach. 103-109 - Watcharachai Kongsiriwattana, Thanaphas Laohasinnuruk, Ratabhoom Boongate, Areej Meny, Rudsada Kaewsaeng-On, Khanista Namee:
AI-Driven Personalized Health Recommendations: Using Blood Test Results and Health Data to Prevent Diseases. 110-115 - Suguru Tsujioka, Kojiro Watanabe, Akihiro Tsukamoto, Muneyuki Natsume:
AI-Generated Image Captions Evaluation: In Terms of Semantic Similarity and Conciseness. 116-120 - ChangYong Jung, Dogyun Kim, SeungBum Ha, Sungjin Park, Jongman Kim:
Regional Solar Power Potential Prediction Based on AI in Response to Climate Change. 121-126 - Ping Zhu, Pohua Lv, Weiming Zou, Xuetao Jiang, Jin Shi, Yang Zhang, Yirong Ma:
Text Global Semantic Analysis and Application. 127-133
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last updated on 2025-09-10 00:49 CEST by the dblp team
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