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检索条件"机构=School of Computer and Data Engineering"
11206 条 记 录,以下是261-270 订阅
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Hybrid Blockchain and IoT Driven Framework for Supply Chain Optimization by Enhancing Transparency, Efficiency and Cost Reduction  3
Hybrid Blockchain and IoT Driven Framework for Supply Chain ...
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3rd International Conference on Electronics and Renewable Systems, ICEARS 2025
作者: Pradeep Kumar, S. Basha, C.H. Hussaian Prasath, C. Arun Amirthayogam, G. Lathif, Syed Ismail Abdul Leelavathi, R. Rajalakshmi Engineering College Computer Science Design Department Thandalam Chennai602105 India Sr University Department of Electrical and Electronics Engineering Warangal506371 India Mahendra Engineering College Department of Ece Namakkal637503 India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science and Engineering Chennai600062 India Srm Institute of Science and Technology Department of Data Science and Business Systems Chennai603203 India Velalar College of Engineering and Technology Department of Biomedical Engineering Erode638012 India
Blockchain technology represents a modern supply chain management revolution which fixes operational challenges while providing enhanced transparency at reduced costs. The research develops HB-SCOF (Hybrid Blockchain-... 详细信息
来源: 评论
Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning
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IEEE Transactions on Mobile Computing 2025年
作者: Fu, Shucun Dong, Fang Chen, Runze Shen, Dian Zhang, Jinghui He, Qiang Southeast University School of Computer Science and Engineering Nanjing China Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan China
Edge learning (EL) is an end-to-edge collaborative learning paradigm enabling devices to participate in model training and data analysis, opening countless opportunities for edge intelligence. As a promising EL framew... 详细信息
来源: 评论
BDGAN: Boundary and Diversity-aware Generative Adversarial Network for Imbalanced Medical Image Augmentation
BDGAN: Boundary and Diversity-aware Generative Adversarial N...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Hongwei Ding Qi Tao Nana Huang School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Data Science & Engineering South China Normal University Guangzhou China School of Cyberspace Hangzhou Dianzi University Hangzhou China
Current deep learning-based medical image classification methods face challenges in effectively learning correct classification boundaries when dealing with imbalanced data. Traditional data augmentation methods often... 详细信息
来源: 评论
Optimizing Blood Bank Management with Cloud-Hosted Long Short-Term Memory Models for Inventory Forecasting and Utilization  3
Optimizing Blood Bank Management with Cloud-Hosted Long Shor...
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3rd International Conference on Electronics and Renewable Systems, ICEARS 2025
作者: Devi, R. Aiyshwariya Sree Southry, S. Rajanarayanan, S. Sekaran, S. Chandra Sivaraman, Audithan Srinivasan, S. R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science Tamil Nadu Chennai India Sona College of Technology Department of Electronics and Communication Engineering Tamil Nadu Salem India Department of Computer Science and Engineering Tamil Nadu Salem India P.S.V College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Krishnagiri India Department of Information Technology Jafferpur New Delhi India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India
This research presents an innovative method for blood bank management using Cloud-based Long Short-Term Memory (LSTM) models for precise inventory forecasting and optimization. The objective of this research is to inc... 详细信息
来源: 评论
Decision Systems in Cybersecurity: A Machine Learning Perspective  12th
Decision Systems in Cybersecurity: A Machine Learning Perspe...
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12th International Conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2024
作者: Dhablia, Anishkumar Ganesh, R. Senthil Rizvi, Nuzhat Arora, Himanshu Borade, Monali Ravindra Bhujbal, Pallavi Altimetrik India Pvt. Ltd Maharashtra Pune India Department of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Tamilnadu Coimbatore India Nagpur Campus Pune India Computer Science and Engineering Arya College of Engineering Jaipur India Artificial Intelligence and Data Science VIIT Pune India Department of Information Technology School of Computing MIT ADT University Loni Kalbhor Pune India
The evolving digital environment requires sophisticated decision systems to protect important information assets from the growing complexity and variety of cyber threats. This review paper examines the impact of machi... 详细信息
来源: 评论
Real-Time Traffic Analysis Using Vehicle Trajectory Similarity in Edge Computing
Real-Time Traffic Analysis Using Vehicle Trajectory Similari...
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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
作者: Jae-Geun Jang Jin-Uk Jung Seonhyeong Kim Ayoung Choi Young-Woo Kwon Graduate School of Data Science Kyungpook National University Daegu Republic of Korea School of Computer Science and Engineering Kyungpook National University Daegu Republic of Korea
The majority of road accidents occur as a result of driver irresponsibility. Utilizing deep learning models to analyze traffic CCTV can effectively mitigate traffic accidents. This paper aims to identify and monitor v... 详细信息
来源: 评论
MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search
MPNAS: Multimodal Sentiment Analysis Pruning via Neural Arch...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Binyan Zhang Ao Ren Zihao Zhang Moming Duan Duo Liu Yujuan Tan Kan Zhong College of Computer Science Chongqing University Chongqing China School of Big Data Software & Engineering Chongqing University Chongqing China Institute of Data Science National University of Singapore Singapore
With the rapid development of social media, sentiment analysis from multimodal posts has garnered significant attention in recent years. However, the substantial size of these models impedes their deployment on resour... 详细信息
来源: 评论
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
arXiv
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arXiv 2025年
作者: He, Qiyuan Yu, Jianfei Wang, Wenya College of Computing and Data Science Nanyang Technological University Singapore School of Computer Science and Engineering Nanjing University of Science and Technology China
Integrating large language models (LLMs) with rule-based reasoning offers a powerful solution for improving the flexibility and reliability of Knowledge Base Completion (KBC). Traditional rule-based KBC methods offer ... 详细信息
来源: 评论
Boli: A dataset for understanding stuttering experience and analyzing stuttered speech
arXiv
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arXiv 2025年
作者: Batra, Ashita Narang, Mannas Sharma, Neeraj Kumar Das, Pradip K. Department of Computer Science and Engineering Mehta Family School of Data Science and AI Indian Institute of Technology Guwahati Guwahati781039 India
There is a growing need for diverse, high-quality stuttered speech data, particularly in the context of Indian languages. This paper introduces Project Boli, a multi-lingual stuttered speech dataset designed to advanc... 详细信息
来源: 评论
Enhancing Extrapolation Reasoning on Temporal Knowledge Graphs with Logic Rules and Queries
Enhancing Extrapolation Reasoning on Temporal Knowledge Grap...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Tingxuan Chen Liu Yang Zidong Wang Shuai Luo Jun Long School of Computer Science and Engineering Central South University Changsha China Big Data Institute Central South University Changsha China
Extrapolation reasoning on Temporal Knowledge Graphs (TKGs) plays a pivotal role in various systems, including retrieval, recommendation, and Q&A. Traditional TKG reasoning methods tend to emphasize modeling the l... 详细信息
来源: 评论