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检索条件"机构=Department of Computer Science and Engineering and Software Engineering"
416635 条 记 录,以下是561-570 订阅
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
Comprehensive overview of Alzheimer's disease utilizing Machine Learning approaches
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Multimedia Tools and Applications 2024年 第37期83卷 85277-85329页
作者: Kumar, Rahul Azad, Chandrashekhar Department of Computer Science and Engineering National Institute of Technology Jamshedpur India
Alzheimer's disease is a common and complex brain disorder that primarily affects the elderly. Because it is progressing and has few effective therapies, it requires a thorough understanding of the condition;our s... 详细信息
来源: 评论
Explainable AI for Pancreatic Cancer Prediction and Survival Prognosis: An Interpretable Deep Learning and Machine Learning Approach
Informatica (Slovenia)
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Informatica (Slovenia) 2024年 第4期48卷 623-640页
作者: Srinidhi, B. Bhargavi, M.S. Department of Computer Science and Engineering Bangalore Institute of Technology Bengaluru India
Pancreatic cancer's devastating impact and low survival rates call for improved detection methods. While Artificial Intelligence has shown remarkable progress, its increasing complexity has led to "black box&... 详细信息
来源: 评论
Residual learning for brain tumor segmentation: dual residual blocks approach
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Neural Computing and Applications 2024年 第36期36卷 22905-22921页
作者: Verma, Akash Yadav, Arun Kumar Department of Computer Science and Engineering NIT Himachal Pradesh Hamirpur India
The most common type of malignant brain tumor, gliomas, has a variety of grades that significantly impact a patient’s chance of survival. Accurate segmentation of brain tumor regions from MRI images is crucial for en... 详细信息
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Capacity of Summation Over a Symmetric Quantum Erasure MAC With Partially Replicated Inputs
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IEEE Transactions on Information Theory 2025年 第7期71卷 5371-5386页
作者: Yao, Yuhang Jafar, Syed A. Department of Electrical Engineering and Computer Science IrvineCA92697 United States
The optimal quantum communication cost of computing a classical sum of distributed sources is studied over a quantum erasure multiple access channel (QEMAC). K classical messages comprised of finite-field symbols are ... 详细信息
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MFR-CNN: A modified faster R-CNN approach based on bounding box and reliable score for cloth image retrieval
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Multimedia Tools and Applications 2024年 第19期84卷 21075-21103页
作者: Kaur, Navneet Pandey, Shreelekha Kalra, Nidhi Department of Computer Science and Engineering Thapar Institute of Engineering & ampTechnology Punjab Patiala147004 India School of Computer Science and Engineering RV University South Karnataka Bangalore560059 India
Today, machine learning is used in a broad variety of applications. Convolution neural networks (CNN), in particular, are widely used to analyze visual data. The fashion industry is catching up to the growing usage of... 详细信息
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AdaCoRCE Loss for Knowledge Distillation: A Novel Approach with Network Fission and Co-Teaching Technique
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第7期6卷 1776-1786页
作者: Garg, Shankey Singh, Pradeep Department of Computer Science and Engineering National Institute of Technology Raipur Chhattisgarh India
Deep models have been successful in almost every research field and they are capable of handling complex problem statements. But most of the deep neural networks are huge in size with millions/billions of parameters r... 详细信息
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A Comprehensive Survey on Advanced Persistent Threat (APT) Detection Techniques
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computers, Materials & Continua 2024年 第8期80卷 2675-2719页
作者: Singamaneni Krishnapriya Sukhvinder Singh Department of Computer Science School of Engineering and TechnologyPondicherry UniversityKalapet605014India
The increase in number of people using the Internet leads to increased cyberattack *** Persistent Threats,or APTs,are among the most dangerous targeted *** attacks utilize various advanced tools and techniques for att... 详细信息
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mLBOA-DML: modified butterfly optimized deep metric learning for enhancing accuracy in intrusion detection system
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Journal of Reliable Intelligent Environments 2023年 第3期9卷 333-347页
作者: Prabhakaran, Varun Kulandasamy, Ashokkumar Department of Computer Science and Engineering St.Joseph’s College of Engineering Chennai India Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India
Intrusion detection is a prominent factor in the cybersecurity domain that prevents the network from malicious attacks. Cloud security is not satisfactory for securing the user’s information because it is based on st... 详细信息
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Semantic similarity and mutual information-based model for fake news detection
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Multimedia Tools and Applications 2024年 第21期84卷 23401-23421页
作者: Gorai, Joy Shaw, Dilip Kumar Department of Computer Science and Engineering National Institute of Technology Jamshedpur India
As internet use in communication networks has grown, fake news has become a big problem. The misleading heading of the news loses the trust of the reader. Many techniques have emerged, but they fail because fraudsters... 详细信息
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