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检索条件"机构=Department of Computer Science and Engineering-Data Science"
404173 条 记 录,以下是51-60 订阅
排序:
Inductive Lottery Ticket Learning for Graph Neural Networks
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Journal of computer science & Technology 2024年 第6期39卷 1223-1237页
作者: Yong-Duo Sui Xiang Wang Tianlong Chen Meng Wang Xiang-Nan He Tat-Seng Chua School of Data Science University of Science and Technology of ChinaHefei 230027China Department of Electrical and Computer Engineering The University of Texas at AustinAustin 78712U.S.A School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230009China School of Computing National University of SingaporeSingapore
Graph neural networks (GNNs) have gained increasing popularity, while usually suffering from unaffordable computations for real-world large-scale applications. Hence, pruning GNNs is of great need but largely unexplor... 详细信息
来源: 评论
Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model
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IEEE Access 2025年 13卷 85428-85446页
作者: Hossain, Md. Mithun Sanjara Hossain, Md. Shakil Chaki, Sudipto Rahman, Md. Saifur Ali, A. B. M. Shawkat Department of Computer Science and Engineering Dhaka1216 Bangladesh
Mental health disorders profoundly affect intellectual ability, emotional resilience, and social stability, leading to lasting effects on both individuals and society. Increasing global concern over mental health call... 详细信息
来源: 评论
Holdout predictive checks for Bayesian model criticism (vol 86, pg 194, 2024)
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 2024年 第5期86卷 1483-1483页
作者: Moran, Gemma E. Blei, David M. Ranganath, Rajesh Department of Statistics Rutgers University Piscataway United States Department of Statistics Department of Computer Science Columbia Data Science Institute Columbia University New York United States Department of Computer Science Center for Data Science New York University New York United States
Bayesian modelling helps applied researchers to articulate assumptions about their data and develop models tailored for specific applications. Thanks to good methods for approximate posterior inference, researchers ca... 详细信息
来源: 评论
Safe Reinforcement Learning for Grid-forming Inverter Based Frequency Regulation with Stability Guarantee
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Journal of Modern Power Systems and Clean Energy 2025年 第1期13卷 79-86页
作者: Hang Shuai Buxin She Jinning Wang Fangxing Li Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN37996USA
This study investigates a safe reinforcement learning algorithm for grid-forming(GFM)inverter based frequency *** guarantee the stability of the inverter-based resource(IBR)system under the learned control policy,a mo... 详细信息
来源: 评论
Software effort estimation using convolutional neural network and fuzzy clustering
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Neural Computing and Applications 2024年 第23期36卷 14449-14464页
作者: Azzeh, Mohammad Alkhateeb, Abedalrhman Bou Nassif, Ali Department of Data Science Princess Sumaya University for Technology Amman Jordan Department of Computer Science Lakehead University Thunder Bay Canada Department of Computer Engineering University of Sharjah Sharjah United Arab Emirates
Adopting an efficient software process model is critical for building high-quality software applications. An important factor impacting the software development process is an accurate estimate of human effort required... 详细信息
来源: 评论
WebFLex:A Framework for Web Browsers-Based Peer-to-Peer Federated Learning Systems Using WebRTC
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computers, Materials & Continua 2024年 第3期78卷 4177-4204页
作者: Mai Alzamel Hamza Ali Rizvi Najwa Altwaijry Isra Al-Turaiki Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadhKingdom of Saudi Arabia Department of Computer Science and Engineering Punjab Engineering CollegeChandigarhIndia
Scalability and information personal privacy are vital for training and deploying large-scale deep learning *** learning trains models on exclusive information by aggregating weights from various devices and taking ad... 详细信息
来源: 评论
Classifying Multi-Lingual Reviews Sentiment Analysis in Arabic and English Languages Using the Stochastic Gradient Descent Model
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computers, Materials & Continua 2025年 第4期83卷 1275-1290页
作者: Yasser Alharbi Sarwar Shah Khan College of Computer Science and Engineering University of HailHail55436Saudi Arabia Department of Computer Science University of Engineering&TechnologyMardan23200Pakistan
Sentiment analysis plays an important role in distilling and clarifying content from movie reviews,aiding the audience in understanding universal views towards the ***,the abundance of reviews and the risk of encounte... 详细信息
来源: 评论
Effi-CNN: real-time vision-based system for interpretation of sign language using CNN and transfer learning
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Multimedia Tools and Applications 2025年 第6期84卷 3137-3159页
作者: Pranav Katarya, Rahul Big Data Analytics and Web Intelligence Laboratory Computer Science & Engineering Department Delhi Technological University New Delhi India
The deaf and mute population has difficulty conveying their thoughts and ideas to others. Sign language is their most expressive mode of communication, but the general public is callow of sign language;therefore, the ... 详细信息
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Unsupervised machine learning approach for tailoring educational content to individual student weaknesses
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High-Confidence Computing 2024年 第4期4卷 91-104页
作者: Shabab Intishar Rahman Shadman Ahmed Tasnim Akter Fariha Ammar Mohammad Muhammad Nayeem Mubasshirul Haque Sriram Chellappan Jannatun Noor Department of Computer Science and Engineering BRAC UniversityDhaka 1212Bangladesh Department of Computer Science and Engineering University of South FloridaFL 33620USA Computing for Sustainability and Social Good(C2SG)Research Group Department of Computer Science and EngineeringSchool of Data and SciencesBRAC UniversityDhaka 1212Bangladesh
By analyzing data gathered through Online Learning(OL)systems,data mining can be used to unearth hidden relationships between topics and trends in student ***,in this paper,we show how data mining techniques such as c... 详细信息
来源: 评论
QoS-Aware Application Assignment and Resource Utilisation Maximization Using AHP in Edge Computing
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IEEE Internet of Things Journal 2025年 第11期12卷 17717-17728页
作者: Koganti, Yasasvitha Sridhar, Vidhyuth Yadav, Ram Narayan Pratap, Ajay Iitram Department of Electrical and Computer Science Engineering Ahmedabad380026 India Indiana University Department of Computer Science and Engineering Bloomington United States Banaras Hindu University Indian Institute of Technology Department of Computer Science and Engineering Varanasi India
Edge computing has emerged as a promising technology to satisfy the demand for data computational resources in Internet of Things (IoT) networks. With edge computing, processing of the massive data-intensive tasks can... 详细信息
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