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检索条件"机构=Department of Computer Science Engineering and Technology"
166801 条 记 录,以下是91-100 订阅
排序:
Heart sound classification method using gammatonegram and SVM
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Multimedia Tools and Applications 2024年 1-37页
作者: Taneja, Kriti Arora, Vinay Verma, Karun Computer Science and Engineering Department Thapar Institute of Engineering and Technology Punjab Patiala India
Today cardiovascular diseases have been posing a serious threat to human lives all over the world. Various automated decision-making systems have been proposed by the researchers to help cardiologists to diagnose hear... 详细信息
来源: 评论
Intrumer:A Multi Module Distributed Explainable IDS/IPS for Securing Cloud Environment
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computers, Materials & Continua 2025年 第1期82卷 579-607页
作者: Nazreen Banu A S.K.B.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia
The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have be... 详细信息
来源: 评论
An optimized deep network-based intermediate code generation for the mathematical expression
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Multimedia Tools and Applications 2024年 第17期84卷 1-24页
作者: Sharada, H.N. Anami, Basavaraj Allagi, Shridhar Department of Computer Science & amp Engineering SDM College of Engineering and Technology Karnataka Dharwad580002 India Department of Computer Science & amp Engineering KLE Institute of Technology Karnataka Hubli580030 India
In recent times, the system's mathematical expression and operation have gained greater reach in engineering and mathematics. It is vital to solving more complex expressions and equations in a short time. The most... 详细信息
来源: 评论
Adaptive pelican optimization with optimized mask RCNN for automatic lung cancer detection
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Multimedia Tools and Applications 2025年 1-21页
作者: Sudha, R. Maheswari, K.M. Uma Department of Computer Science and Engineering SRM Institute of Science and Technology Chengalpattu India Department of Computing Technologies SRM Institute of Science and Technology Chengalpattu India
Lung cancer is a prevalent and deadly disease worldwide, necessitating accurate and timely detection methods for effective treatment. Deep learning-based approaches have emerged as promising solutions for automated me... 详细信息
来源: 评论
A review on spreading and Forensics Analysis of Windows-Based ransomware
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Annals of Data science 2024年 第5期11卷 1503-1524页
作者: Chayal, Narendrakumar Mangilal Saxena, Ankur Khan, Rijwan Department of Computer Science and Technology Faculty of Engineering and Technology Department of Computer Engineering Sankalchand Patel University Visnagar India Department of Computer Science Indus Institute of Information and Communication Technology Dean-ICT & ampDirector-IIICT Indus University Gujarat Ahmedabad India Department of Computer Science and Engineering ABES Institute of Technology Ghaziabad Affiliated to AKTU Lucknow India
Ransomware is one of the most advanced malware which uses high computer resources and services to encrypt system data once it infects a system and causes large financial data losses to the organization and individuals... 详细信息
来源: 评论
Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第1期6卷 14-24页
作者: Kumar, Raghvendra Goddu, Bhargav Saha, Sriparna Jatowt, Adam Indian Institute of Technology Department of Computer Science and Engineering Patna801106 India University of Innsbruck Department of Computer Science Innsbruck6020 Austria
In the times of advanced generative artificial intelligence, distinguishing truth from fallacy and deception has become a critical societal challenge. This research attempts to analyze the capabilities of large langua... 详细信息
来源: 评论
Hybrid Deep Learning Approach for Automating App Review Classification:Advancing Usability Metrics Classification with an Aspect-Based Sentiment Analysis Framework
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computers, Materials & Continua 2025年 第1期82卷 949-976页
作者: Nahed Alsaleh Reem Alnanih Nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computer Science and EngineeringUniversity of HailHail81451Saudi Arabia
App reviews are crucial in influencing user decisions and providing essential feedback for developers to improve their *** the analysis of these reviews is vital for efficient review *** traditional machine learning(M... 详细信息
来源: 评论
Face Recognition Using LBPH and CNN
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Recent Advances in computer science and Communications 2024年 第5期17卷 48-58页
作者: Shukla, Ratnesh Kumar Tiwari, Arvind Kumar Mishra, Ashish Ranjan Department of Computer Science & Engineering Shambhunath Institute of Engineering & Technology Uttar Pradesh Prayagraj211012 India Department of Computer Science & Engineering Kamla Nehru Institute of Engineering & Technology Uttar Pradesh Sultanpur228118 India Department of Computer Science & Engineering Rajkiya Engineering College Uttar Pradesh Sonbhadra231206 India
Objective: The purpose of this paper was to use Machine Learning (ML) techniques to extract facial features from images. Accurate face detection and recognition has long been a problem in computer vision. According to... 详细信息
来源: 评论
Identification of Human Activity from Video Streaming Smartphone Data Using Intensified VGG16
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International Journal of engineering, Transactions B: Applications 2025年 第6期38卷 1340-1352页
作者: Yadav, R.K. Daniel, A. Semwal, V.B. Department of Computer Science and Engineering Amity University Gwalior India Data Science and Engineering Manipal University Jaipur India Department of Computer Science and Engineering Maulana Azad National Institute Technology Bhopal India
Human activity recognition (HAR) techniques pick out and interpret human behaviors and actions by analyzing data gathered from various sensor devices. HAR aims to recognize and automatically categorize human activitie... 详细信息
来源: 评论
Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification
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computer Modeling in engineering & sciences 2024年 第6期139卷 2605-2625页
作者: Jungpil Shin Md.Al Mehedi Hasan Abu Saleh Musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh
Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Lan... 详细信息
来源: 评论