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检索条件"机构=Institute of Computer Science and Information Engineering College of Engineering"
103676 条 记 录,以下是81-90 订阅
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Zero Trust Networks: Evolution and Application from Concept to Practice
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computers, Materials & Continua 2025年 第2期82卷 1593-1613页
作者: Yongjun Ren Zhiming Wang Pradip Kumar Sharma Fayez Alqahtani Amr Tolba Jin Wang School of Computer Science School of Cyber Science and EngineeringEngineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science and TechnologyNanjing210044China Department of Computing Science University of AberdeenAberdeenAB243FXUK Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Sanya Institute of Hunan University of Science and Technology Sanya572024China
In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized *** Trust not only address... 详细信息
来源: 评论
EPDTNet + -EM: Advanced Transfer Learning and SubNet Architecture for Medical Image Diagnosis
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Cognitive Computation 2025年 第2期17卷 1-22页
作者: K, Dhivya K, Sangamithrai S, Indra Priyadharshini M, Vedaraj Department of Electronics and Communication Engineering SRM Institute of Science and Technology Tamilnadu Kattankulathur India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R & d Institute of Science and Technology Tamilnadu Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India Department of Computer Science and Engineering R.M.D. Engineering College RSM Nagar Tamilnadu Kavaraipettai Thiruvallur601206 India
This paper presents a novel medical imaging framework, Efficient Parallel Deep Transfer SubNet+-based Explainable Model (EPDTNet + -EM), designed to improve the detection and classification of abnormalities in medical... 详细信息
来源: 评论
Many-Objective Feedback Evolutionary Algorithm for Optimizing the Software Test Suite
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SN computer science 2025年 第1期6卷 1-18页
作者: Jaiswal, Updesh Kumar Prajapati, Amarjeet Department of CSE & IT Jaypee Institute of Information Technology Noida India Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India
In automated software testing;optimization of test suites is an important and challenging problem. In the literature of test suite optimization, various single-objective and multi-objective optimization approaches hav... 详细信息
来源: 评论
Sample-based relationship for assisting diagnosis of pneumonia in medical care
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Multimedia Tools and Applications 2025年 第1期84卷 267-288页
作者: Chen, Hongkang Lu, Huijuan Zhu, Wenjie Zhou, Ye Yao, Yudong Wang, Renfeng College of Information Engineering China Jiliang University Zhejiang Hangzhou China Drore Information and Technology Co. LTD Zhejiang Hangzhou China Department of Electrical and Computer Engineering Stevens Institute of Technology HobokenNJ United States College of Computer Science and Technology Zhejiang University Zhejiang Hangzhou China
Deep neural networks have succeeded in learning balanced and imbalanced data in the field of pneumonia diagnosis. However, both require separate model designs in their respective domains. The pneumonia recognition met... 详细信息
来源: 评论
NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer
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IEEE Access 2025年 13卷 72875-72882页
作者: Zhou, Ling Yang, Bin Lin, Xiangcheng Zhu, Kaihao Lan, Ziran Li, Xiangwen Chengdu University of Technology The Engineering and Technology College Department of Electronic Information and Computer Engineering Leshan614000 China Southwestern Institute of Physics Chengdu610225 China
In the discharge experiments of the HL-2A Tokamak device, plasma position prediction plays a crucial role in aspects such as the closed - loop control of HL-2A and verifying the correctness of the plasma controller de... 详细信息
来源: 评论
An integrated strategy of AEF attribute evaluation for reliable thunderstorm detection
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Digital Communications and Networks 2025年 第1期11卷 234-245页
作者: Xu Yang Hongyan Xing Xinyuan Ji Xin Su Witold Pedrycz School of Electronics and Information Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 2R3Canada College of Internet of Things Engineering Hohai UniversityChangzhou 213022China Systems Research Institute Polish Academy of Sciences00-901 WarsawPoland Department of Computer Engineering Faculty of Engineering and Natural SciencesIstinye UniversitySariyer/IstanbulTurkey
Thunderstorm detection based on the Atmospheric Electric Field(AEF)has evolved from time-domain models to space-domain *** is especially important to evaluate and determine the particularly Weather Attribute(WA),which... 详细信息
来源: 评论
Advanced deep learning models for automatic detection of driver’s facial expressions, movements, and alertness in varied lighting conditions: a comparative analysis
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Multimedia Tools and Applications 2025年 第6期84卷 2947-2983页
作者: Das, Shiplu Pratihar, Sanjoy Pradhan, Buddhadeb Computer Science and Engineering Indian Institute of Information Technology West Bengal Kalyani India University of Engineering and Management Kolkata West Bengal New Town India
Emotion recognition is vital in understanding human behavior and improving the driving experience. We present a systematic analysis of automatic detection of driver’s facial expressions and movements while crying, fe... 详细信息
来源: 评论
CNN-based cancer prediction scheme using 5G-assisted federated learning for healthcare Industry 5.0
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Alexandria engineering Journal 2025年 126卷 131-142页
作者: Kumari, Aparna Patadia, Divya Tanwar, Sudeep Pau, Giovanni Alqahtani, Fayez Tolba, Amr Department of Computer Science and Engineering Institute of Technology Nirma University Ahmedabad382481 India Faculty of Engineering and Architecture Kore University of Enna Enna94100 Italy Software Engineering Department College of Computer and Information Sciences King Saud University Riyadh12372 Saudi Arabia Computer Science Department Community College King Saud University Riyadh11437 Saudi Arabia
Healthcare Industry 5.0 has witnessed a transformative change by incorporating Artificial Intelligence (AI), Internet-of-things (IoT), and genomics to provide individualized and patient-centered healthcare. It priorit... 详细信息
来源: 评论
Disaster Management Based on Biodiversity Conservation Using Remote Sensing Data Analysis Using Machine Learning Model
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Remote Sensing in Earth Systems sciences 2025年 第1期8卷 191-199页
作者: Pokkuluri, Kiran Sree Mounika, Talla Devi, N. Durga Kishore, D. Ratna Balakiruthiga, B. Krishna, B. Murali Department of Computer Science and Engineering Shri Vishnu Engineering College for Women Telangana Bhimavaram India Department of CSE-DS Mallareddy College of Engineering Hyderabad India Department of Computer Science and Engineering Aditya University Andhra Pradesh Surampalem India Dept of Information Technology Lakireddy Balireddy College of Engineering Mylavram Vijayawada India Department of Networking and Communications College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur India Department of Computer Science and Engineering MLR Institute of Technology Hyderabad India
Artificial intelligence (AI) applications in forestry as well as wildlife domains have become more feasible due to the advancements in data science and digital and satellite technologies. However, there is a serious g... 详细信息
来源: 评论
Multi-label Text Classification on Textcnn fused Bilstm with Attention Mechanism
IAENG International Journal of Computer Science
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IAENG International Journal of computer science 2025年 第2期52卷 524-532页
作者: Duan, Aihua Raga, Rodolfo C. Computer Science at the College of Computing and Information Technologies National University Manila1008 Philippines College of Computer Studies and Engineering José Rizal University Mandaluyong City1550 Philippines
This paper proposed a deep learning model for multi-label text classification to effectively manage and utilize the network text information and realize the automatic labeling of text content. The neural network word ... 详细信息
来源: 评论