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检索条件"机构=Department of Computer Science and Engineering and Information Technology"
298554 条 记 录,以下是71-80 订阅
排序:
Data-driven output regulation control for constrained linear systems
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science China(information sciences) 2025年 第3期68卷 338-353页
作者: Chaoyu XIA Yi DONG Chaoli WANG Shengyuan XU Shanghai Research Institute for Intelligent Autonomous Systems Tongji University College of Electronic and Information Engineering Shanghai Research Institute for Intelligent Autonomous SystemsTongji University Department of Control Science and Engineering School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Automation Nanjing University of Science and Technology
This study introduces a data-driven approach for state and output feedback control addressing the constrained output regulation problem in unknown linear discrete-time systems. Our method ensures effective tracking pe... 详细信息
来源: 评论
Advancing mental health detection in texts via multi-task learning with soft-parameter sharing transformers
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Neural Computing and Applications 2025年 第5期37卷 3077-3110页
作者: Kodati, Dheeraj Tene, Ramakrishnudu Department of Computer Science and Engineering National Institute of Technology Warangal India Department of Computer Science and Engineering Mahindra University Hyderabad India
In recent years, mental health issues have profoundly impacted individuals’ well-being, necessitating prompt identification and intervention. Existing approaches grapple with the complex nature of mental health, faci... 详细信息
来源: 评论
Test Case Optimization using Machine Learning based Hybrid Meta-Heuristic Approach
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Journal of Electronic Testing: Theory and Applications (JETTA) 2025年 1-20页
作者: Rao, Gajender Nandal, Deepak Research Scholar Department of Computer Science and Engineering Guru Jambheshwar University of Science and Technology Hisar India Department of Computer Science and Engineering Guru Jambheshwar University of Science and Technology Hisar India
Software testing is a critical task that can be used to ensure the quality of the end product. Different types of applications process the input data with respect to a specific operation and its outcomes are generated... 详细信息
来源: 评论
Research Progress in Solar Flare Prediction Methods
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Research in Astronomy and Astrophysics 2025年 第3期25卷 280-309页
作者: Ke Han Zhen Liu Xian-Yi Zhao Yi-Fei Li De-Quan Zheng Jie Wan School of Computer and Information Engineering Harbin University of Commerce Faculty of Computing Harbin Institute of Technology School of Energy Science and Engineering Harbin Institute of Technology
Solar flares are one of the strongest outbursts of solar activity,posing a serious threat to Earth’s critical infrastructure,such as communications,navigation,power,and ***,it is essential to accurately predict solar... 详细信息
来源: 评论
Domain generalization with semi-supervised learning for people-centric activity recognition
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science China(information sciences) 2025年 第1期68卷 171-188页
作者: Jing LIU Wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology
People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces.... 详细信息
来源: 评论
Secure probe-based latency measurement using NTP and PTP for optimized gateway placement in LoRaWAN
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International Journal of information technology (Singapore) 2025年 1-10页
作者: Bhatnagar, Kumar Vaibhav Kushwah, Rashmi Department of Computer Science & Engineering and Information Technology Jaypee Institute of Information Technology Uttar Pradesh Noida 201304 India
The paper presents a novel framework for optimizing LoRaWAN gateway placement to enhance network performance and reliability. By integrating Network Time Protocol (NTP) for global synchronization and Precision Time Pr... 详细信息
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COVID-19 emergency decision-making using q-rung linear diophantine fuzzy set,differential evolutionary and evidential reasoning techniques
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Applied Mathematics(A Journal of Chinese Universities) 2025年 第1期40卷 182-206页
作者: G Punnam Chander Sujit Das Department of Computer science and Engineering National Institute of TechnologyWarangal 506004India
In this paper,a robust and consistent COVID-19 emergency decision-making approach is proposed based on q-rung linear diophantine fuzzy set(q-RLDFS),differential evolutionary(DE)optimization principles,and evidential r... 详细信息
来源: 评论
SAMFNet: Scene-aware sampling and multi-stage fusion for multimodal 3D object detection
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Alexandria engineering Journal 2025年 126卷 90-104页
作者: Wang, Baotong Xia, Chenxing Gao, Xiuju Ge, Bin Li, Kuan-Ching Fang, Xianjin Zhang, Yan Yang, Yuan College of Computer Science and Engineering Anhui University of Science and Technology Huainan232001 China College of Electrical and Information Engineering Anhui University of Science and Technology Huainan232001 China Department of Computer Science and Information Engineering Providence University Taichung43301 China The School of Electronics and Information Engineering Anhui University Hefei230039 China School of Mathematics and Big Data Anhui University of Science and Technology Huainan232001 China
Recently, multimodal 3D object detection (M3OD) that fuses the complementary information from LiDAR data and RGB images has gained significant attention. However, the inherent structural differences between point clou... 详细信息
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Hybrid Sampling Technique for Imbalanced Android Malware Family Classification
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SN computer science 2025年 第3期6卷 1-16页
作者: Chauhan, Kshamta Gandotra, Ekta Department of Computer Science and Engineering and Information Technology Jaypee University of Information Technology Waknaghat Himachal Pradesh Solan India
The rapid explosion of Android-based devices has led to a disturbing surge in the volume and sophistication of Android malware. Effective classification of these malicious applications is essential for safeguarding us... 详细信息
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A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal
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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年 第6期47卷 4957-4973页
作者: Huang, Jun-Jie Liu, Tianrui Chen, Zihan Liu, Xinwang Wang, Meng Dragotti, Pier Luigi National University of Defense Technology College of Computer Science and Technology Changsha China Hefei University of Technology School of Computer Science and Information Engineering Hefei China Imperial College London Department of Electrical and Electronic Engineering London United Kingdom
Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers to the issue of separating a reflection-contaminated image into a transmission and a reflection image. The core challeng... 详细信息
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