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检索条件"机构=Faculty of Computer Science and Computer Engineering"
49612 条 记 录,以下是421-430 订阅
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Harmful Brain Activity Classification Using Ensemble Deep Learning  66
Harmful Brain Activity Classification Using Ensemble Deep Le...
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66th International Symposium ELMAR, ELMAR 2024
作者: Habijan, Marija Sojo, Robert Tolic, Ivana Hartmann Galic, Irena Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia
Electroencephalography (EEG) is a crucial tool for monitoring electrical brain activity and diagnosing neurological conditions. Manual analysis of EEG signals is time-consuming and prone to variability, necessitating ... 详细信息
来源: 评论
Obstacle Detection Using Arduino Board and Bluetooth Control  8th
Obstacle Detection Using Arduino Board and Bluetooth Control
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8th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2023
作者: Pavitha, N. Dardige, Rohit Patil, Vaibhav Pawar, Ameya Shah, Bhavesh Department of Computer Engineering Faculty Science and Technology Vishwakarma University Pune India
An intelligent robotic vehicle with an ultrasonic sensor that can avoid obstacles in its path is the research idea. This sensor recognizes obstructions, permitting the vehicle to perform activities like halting, turni... 详细信息
来源: 评论
Deep Reinforcement Learning-Based AoI Minimization in UAV-Assisted Multi-Platoon Vehicular Networks  17
Deep Reinforcement Learning-Based AoI Minimization in UAV-As...
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IEEE Congress on Cybermatics: 17th IEEE International Conference on Internet of Things, iThings 2024, 20th IEEE International Conference on Green Computing and Communications, GreenCom 2024, 17th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE International Conference on Smart Data, SmartData 2024
作者: Du, Bochun Qu, Long Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China
In the current landscape of intelligent transportation, vehicle platooning has become a key strategy for improving traffic efficiency and safety. However, as multiple platoons move at high speeds, the platoon encounte... 详细信息
来源: 评论
Unveiling Insights: Analyzing Application Logs to Enhance Autism Therapy Outcomes  15th
Unveiling Insights: Analyzing Application Logs to Enhance A...
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15th International Conference on ICT Innovations, ICT Innovations 2023
作者: Ilijoski, Bojan Ackovska, Nevena Faculty of Computer Science and Engineering Ss Cyril and Methodiuos University Skopje Macedonia
Leveraging advancements in information technology and the inherent interest of children with autism in robots and technology, this study explores the crucial role of analyzing application logs in enhancing therapy exp... 详细信息
来源: 评论
Comparison of CNN-based deep learning architectures for rice diseases classification
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Artificial Intelligence in Agriculture 2023年 第3期9卷 22-35页
作者: Md Taimur Ahad Yan Li Bo Song Touhid Bhuiyan Department of Computer Science and Engineering Daffodil International UniversitySavarBangladesh School of Mathematics Physics and Computing University of Southern QueenslandToowoombaAustralia School of Engineering University of Southern Queensland ToowoombaAustralia Department of Computer Science and Engineering Faculty of Science and Information TechnologyDaffodil International UniversityBangladesh
Although convolutional neural network(CNN)paradigms have expanded to transfer learning and ensemble models from original individual CNN architectures,few studies have focused on the performance comparison of the appli... 详细信息
来源: 评论
Semantic Segmentation of Remote Sensing Images: Definition, Methods, Datasets and Applications  15th
Semantic Segmentation of Remote Sensing Images: Definition,...
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15th International Conference on ICT Innovations, ICT Innovations 2023
作者: Spasev, Vlatko Dimitrovski, Ivica Kitanovski, Ivan Chorbev, Ivan Faculty of Computer Science and Engineering Ss Cyril and Methodiuos University Skopje Macedonia
Semantic segmentation of remote sensing images is a vital task in the field of remote sensing and computer vision. The goal is to produce a dense pixel-wise segmentation map of an image, where a specific class is assi... 详细信息
来源: 评论
Centripetal Intensive Deep Hashing for Remote Sensing Image Retrieval
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 12439-12453页
作者: Wang, Weigang Guo, Zhongwen Cui, Ziyuan Zhao, Hailei Xian, Lintao The Faculty of Electrical Engineering and Computer Science Ocean University of China Qingdao266499 China The Department of Intelligent Medical Engineering Shandong Second Medical University Weifang261053 China
With the breakthrough of convolutional neural networks, deep hashing methods have demonstrated remarkable performance in large-scale image retrieval tasks. However, existing deep supervised hashing methods, which rely... 详细信息
来源: 评论
Auto-3D-house Design from Structured User Requirements
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Machine Intelligence Research 2025年 第2期22卷 368-385页
作者: Minkui Tan Qi Chen Zixiong Huang Qi Wu Yuanqing Li Jiaqiu Zhou School of Software Engineering South China University of TechnologyGuangzhou 510006China Faculty of Engineering Computer and Mathematical ScienceUniversity of AdelaideAdelaide SA 5005Australia School of Automation Science and Engineering South China University of TechnologyGuangzhou 510006China
We study the task of automated house design,which aims to automatically generate 3D houses from user ***,in the automatic system,it is non-trivial due to the intrinsic complexity of house designing:1)the understanding... 详细信息
来源: 评论
Implications of the forthcoming forensic sciences standard ISO/IEC 21043 for forensic biometrics  12
Implications of the forthcoming forensic sciences standard I...
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12th International Workshop on Biometrics and Forensics, IWBF 2024
作者: Meuwly, Didier University of Twente Faculty of Electrical Engineering Mathematics and Computer Science Enschede Netherlands
The forthcoming forensic sciences standard ISO/IEC 21043 is a methodological and technical standard, currently at the stage of Draft International Standard. When adopted, it will apply to all forensic disciplines, inc... 详细信息
来源: 评论
Sports Events Recognition Using Multi Features and Deep Belief Network
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computers, Materials & Continua 2024年 第10期81卷 309-326页
作者: Bayan Alabdullah Muhammad Tayyab Yahay AlQahtani Naif Al Mudawi Asaad Algarni Ahmad Jalal Jeongmin Park Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science Applied CollegeKing Khalid UniversityAbha61421Saudi Arabia Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Republic of Korea
In the modern era of a growing population,it is arduous for humans to monitor every aspect of sports,events occurring around us,and scenarios or *** recognition of different types of sports and events has increasingly... 详细信息
来源: 评论