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检索条件"机构=Data Science Program Computer Science Department School of Computer Science"
71266 条 记 录,以下是4751-4760 订阅
Unveiling the Black Box: Neural Cryptanalysis with XAI
Unveiling the Black Box: Neural Cryptanalysis with XAI
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Goi, Yue-Tian Leong, Shu-Min Phan, Raphael C.-W. Lai, Shangqi Salagean, Ana School of Information Technology Monash University Australia CSIRO's Data61 Distributed Systems Security Group Australia Loughborough University Department of Computer Science United Kingdom
At CRYPTO'19, Gohr[1] presented ResNet-based neural distinguishers (ND) for the round-reduced SPECK32/64 cipher. However, due to the black-box use of such deep learning models, it is hard for humans to understand ... 详细信息
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Deep Learning Techniques Advancements in Apple Leaf Disease Detection  2
Deep Learning Techniques Advancements in Apple Leaf Disease ...
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2nd International Conference on Machine Learning and data Engineering, ICMLDE 2023
作者: Kannan, E. Belinda, Carmel Mary M.J. David, Alex S. Naveena, Ruth Begum, Almas Hemalatha, D. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamilnadu Chennai600062 India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai602105 India Hindustan Institute of Technology and Science Tamilnadu Chennai603103 India
An exhaustive and comprehensive investigation was undertaken to address the critical issue of disease detection on apple leaves using cutting-edge deep learning techniques. The research delved into an array of diverse... 详细信息
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data science based Recommendation System - An Application of computer science  14
Data Science based Recommendation System - An Application of...
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14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023
作者: Khan, Zeba Rahman, Abdul Applied College Jazan University Department of Computer and Information System Jazan Saudi Arabia Presidency University School of Computer Science and Engineering & Information Science Rajanukunte Yelahanka Bangalore India
Recommender system (RS) has emanated as the most popular application of e-commerce websites. In the e-commerce business, collaborative filtering based RS systems suggest products to the customers and find the interest... 详细信息
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Predictive Analysis of Consumer Behavior Using Supervised Learning Techniques  2
Predictive Analysis of Consumer Behavior Using Supervised Le...
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2nd International Conference Computational and Characterization Techniques in Engineering and sciences, IC3TES 2024
作者: Rekha, K. Sashi Amutha, T. Usharani, R. Pushparani, S. Sivagami, V.M. Saveetha Institute of Medical and Technical Sciences Simats Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Care College of Engineering Department of Artificial Intelligence & Data Science Tamil Nadu Trichy India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computational Intelligence School of Computing Chennai India Meenakshi College of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Sri Venkateswara College of Engineering Department of Information Technology Tamil Nadu Chennai India
The study presented here consists of an entire framework for prediction of consumers behavior through the machine training of supervised learning methods. The strategy involves the following: data collection, preproce... 详细信息
来源: 评论
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process  25
From RAG to QA-RAG: Integrating Generative AI for Pharmaceut...
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40th Annual ACM Symposium on Applied Computing, SAC 2025
作者: Kim, Jaewoong Hur, Minseok Min, Moohong Department of Applied Data Science Sungkyunkwan University Seoul Korea Republic of Department of Immersive Media Engineering/Convergence Program for Social Innovation Sungkyunkwan University Seoul Korea Republic of Department of Computer Education/Convergence Program for Social Innovation Sungkyunkwan University Seoul Korea Republic of
Regulatory compliance in the pharmaceutical industry involves navigating complex and voluminous guidelines, often requiring significant amounts of human resources. Recent advancements in Large Language Models (LLMs) a... 详细信息
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Cloud-Enhanced Machine Learning Models for Predictive Maintenance in Industrial IoT  2
Cloud-Enhanced Machine Learning Models for Predictive Mainte...
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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024
作者: Usharani, R. Sivagami, V.M. Saravanan, K. Pushparani, S. Rekha, K. Sashi Department of Computational Intelligence School of Computing Faculty of Engineering and Technology Srm Institute of Science and Technology Tamil Nadu Kattankulathur India Department of Information Technology Sri Venkateswara College of Engineering Sriperumbudur Tamil Nadu Chennai India Department of Artificial Intelligence and Data Science Care College of Engineering Tamil Nadu Trichy India Department of Computer Science and Engineering Meenakshi College of Engineering Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India
This study examines the implementation and impact of Cloud-Enhanced Machine Learning Models in the realm of Predictive Maintenance within Industrial Internet of Things (IIoT) settings. Emphasizing the integration of c... 详细信息
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An Empirical Method For Chronic Kidney Disease Prediction  15
An Empirical Method For Chronic Kidney Disease Prediction
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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
作者: Ravi Kumar, R. Mudepalli, Srinivas Sujay, V. Lande, Jayapal Mohmmad, Sallauddin Sr University School of Computer Science and Artificaial Intelligence Telangana Warangal506371 India Telangana Hyderabad India Krishna University College of Engineering and Technology Department of Computer Science and Engineering Machilipatnam Andhra Pradesh Krishna District India
This study introduced a systematic approach to predicting chronic kidney disease using machine learning models. The dataset was sourced from Kaggle and underwent comprehensive preprocessing to address null values, fea... 详细信息
来源: 评论
Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation  27
Learning a Mini-Batch Graph Transformer via Two-Stage Intera...
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Li, Wenda Chen, Kaixuan Liu, Shunyu Zheng, Tongya Huang, Wenjie Song, Mingli State Key Laboratory of Blockchain and Security Zhejiang University China School of Software Technology Zhejiang University China Institute of Blockchain and Data Security China Big Graph Center School of Computer and Computing Science Hangzhou City University China College of Computer Science and Technology Zhejiang University Hangzhou China
Mini-batch Graph Transformer (MGT), as an emerging graph learning model, has demonstrated significant advantages in semi-supervised node prediction tasks with improved computational efficiency and enhanced model robus... 详细信息
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A Tractable Inference Perspective of Offline RL  38
A Tractable Inference Perspective of Offline RL
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38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Liu, Xuejie Liu, Anji Van den Broeck, Guy Liang, Yitao Institute for Artificial Intelligence Peking University China Computer Science Department University of California Los Angeles United States School of Intelligence Science and Technology Peking University China
A popular paradigm for offline Reinforcement Learning (RL) tasks is to first fit the offline trajectories to a sequence model, and then prompt the model for actions that lead to high expected return. In addition to ob...
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Multi-Robot Planning for Filming Groups of Moving Actors Leveraging Submodularity and Pixel Density  63
Multi-Robot Planning for Filming Groups of Moving Actors Lev...
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63rd IEEE Conference on Decision and Control, CDC 2024
作者: Hughes, Skyler Martin, Rebecca Corah, Micah Scherer, Sebastian Program Carnegie Mellon University Nsf Reu Program United States Robotics Institute Carnegie Mellon University Airlab United States Colorado School of Mines Department of Computer Science United States
Observing and filming a group of moving actors with a team of aerial robots is a challenging problem that combines elements of multi-robot coordination, coverage, and view planning. A single camera may observe multipl... 详细信息
来源: 评论