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检索条件"机构=Digital Technology Center and Department of Computer Science and Engineering"
20036 条 记 录,以下是151-160 订阅
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Temperature Effects on Microalgae Cell Growth in an Outdoor HLTP  2nd
Temperature Effects on Microalgae Cell Growth in an Outdo...
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2nd International Conference on Mathematical Analysis and Applications in Modeling, ICMAAM 2023
作者: Nahar, Nurun Monir, Mohammad Iftekhar Islam, Md. Rashedul Deb, Ujjwal Kumar Department of Mathematics Chittagong University of Engineering and Technology Chattogram Bangladesh Department of Mathematics Premier University Chattogram Bangladesh Jamal Nazrul Islam Research Center for Mathematical and Physical Sciences University of Chittagong Chittagong Bangladesh Department of Computer Science and Engineering International Islamic University Chittagong Chattogram Bangladesh
Biofuel from microalgae is a promising alternative that can substitute fossil fuels because they are renewable and eco-friendly. The growth of microalgae is influenced by numerous culture parameters, and temperature i... 详细信息
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A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory
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Knowledge and Information Systems 2025年 1-32页
作者: Asadi, Mehdi Heidari, Arash Jafari Navimipour, Nima Department of Computer Engineering Islamic Azad University Khameneh Branch Khameneh Iran Department of Software Engineering Haliç University Istanbul Turkey Department of Computer Engineering Faculty of Engineering and Natural Science İstanbul Atlas University Istanbul Turkey Department of Computer Science and Engineering Qatar University Doha Qatar Department of Computer Engineering Faculty of Engineering and Natural Sciences Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Douliou Taiwan Research Center of High Technologies and Innovative Engineering Western Caspian University Baku Azerbaijan
Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. Due to the frequent adaptation of botnets to evolving responses offere...
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iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations
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BMC Biology 2025年 第1期23卷 1-14页
作者: Wei, Hang Hou, Jialu Liu, Yumeng Shaytan, Alexey K. Liu, Bin Wu, Hao School of Computer Science and Technology Xidian University Shaanxi Xi’an 710126 China SMBU-MSU-BIT Joint Laboratory On Bioinformatics and Engineering Biology Shenzhen MSU-BIT University Guangdong Shenzhen 518172 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China College of Big Data and Internet Shenzhen Technology University Guangdong Shenzhen 518118 China Department of Biology Lomonosov Moscow State University Moscow 119234 Russian Federation International Laboratory of Bioinformatics AI and Digital Sciences Institute Faculty of Computer Science HSE University Moscow 109028 Russian Federation Zhongguancun Academy Beijing 100094 China
Background: Exploring piRNA-disease associations can help discover candidate diagnostic or prognostic biomarkers and therapeutic targets. Several computational methods have been presented for identifying associations ... 详细信息
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Locate N’ Rotate: Two-Stage Openable Part Detection with Foundation Model Priors  17th
Locate N’ Rotate: Two-Stage Openable Part Detection with F...
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17th Asian Conference on computer Vision, ACCV 2024
作者: Li, Siqi Chen, Xiaoxue Cheng, Haoyu Zhou, Guyue Zhao, Hao Tian, Guanzhong Ningbo innovation Center Zhejiang University Hangzhou China College of Control Science and Engineering Zhejiang University Hangzhou China Institute for AI Industry Research Tsinghua University Beijing China Department of Computer Science and Technology Tsinghua University Beijing China
Detecting the openable parts of articulated objects is crucial for downstream applications in intelligent robotics, such as pulling a drawer. This task poses a multitasking challenge due to the necessity of understand... 详细信息
来源: 评论
Toward Understanding Federated Learning over Unreliable Networks
IEEE Transactions on Machine Learning in Communications and ...
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IEEE Transactions on Machine Learning in Communications and Networking 2025年 3卷 80-97页
作者: Feng, Chenyuan Arafa, Ahmed Chen, Zihan Zhao, Mingxiong Quek, Tony Q. S. Yang, Howard H. EURECOM Department of Communication Biot06410 France University of North Carolina at Charlotte Department of Electrical and Computer Engineering CharlotteNC28223 United States Singapore University of Technology and Design Information Systems Technology and Design Pillar Tampines487372 Singapore Yunnan University Engineering Research Center of Cyberspace National Pilot School of Software Kunming650106 China Zhejiang University ZJU-UIUC Institute Haining314400 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310007 China University of Illinois at Urbana-Champaign Department of Electrical and Computer Engineering ChampaignIL61820 United States
This paper studies the efficiency of training a statistical model among an edge server and multiple clients via Federated Learning (FL) - a machine learning method that preserves data privacy in the training process -... 详细信息
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Self-Learning Based Dependable Offloading Optimization in Semi-Trusted Vehicular Edge Computing and Networks
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IEEE Transactions on Vehicular technology 2025年 第5期74卷 8141-8157页
作者: Li, Xuehan Jing, Tao Li, Ruinian Wang, Xiaoxuan Yan, Yu Fan, Xin Huo, Yan Yu, Fei Richard Beijing Jiaotong University School of Electronic and Information Engineering National Engineering Research Center of Advanced Network Technologies Beijing100044 China Bowling Green State University Department of CS Bowling GreenOH43403 United States Beijing Forestry University School of Information Science and Technology Beijing100083 China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada
As vehicular edge computing and networks (VECONs) emerge, Internet of vehicles (IoVs) is gaining significant advantages. To provide users with dependable services, VECONs need to offer efficient and secure task offloa... 详细信息
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What Drives the Use of Generative Artificial Intelligence to Promote Educational Sustainability? Evidence from SEM-ANN Approach
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TechTrends 2025年 1-15页
作者: Arpaci, Ibrahim Al-Emran, Mostafa Al-Qaysi, Noor Al-Sharafi, Mohammed A. Management Information Systems College of Business Administration Gulf University for Science and Technology Mishref Kuwait Department of Software Engineering Faculty of Engineering and Natural Sciences Bandirma Onyedi Eylul University Balikesir Turkey Department of Computer Science and Engineering College of Informatics Korea University Seoul 02841 South Korea Faculty of Engineering & IT The British University in Dubai Dubai United Arab Emirates Engineering Technical College Al-Bayan University Baghdad Iraq Information and Communication Technology Research Group Scientific Research Center Al-Ayen University Thi-Qar Iraq IRC for Finance and Digital Economy KFUPM Business School King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia
The literature on generative “Artificial Intelligence” (AI) in education primarily focuses on its immediate benefits and applications, such as personalized learning, student engagement, and content generation. Howev... 详细信息
来源: 评论
ICPR 2024 Competition on VISual Tracking in Adverse Conditions (VISTAC)  27th
ICPR 2024 Competition on VISual Tracking in Adverse Conditio...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Ali, Asfak Pandit, Arya Mandal, Shirshendu Bhattacharjee, Srinjan Maiti, Sauptik Acharjee, Suvojit Sarkar, Ram Chaudhuri, Sheli Sinha Agaian, Sos S. Djemal, Khalifa Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata India Department of Electronics and Communication Narula Institute of Technology Kolkata India Department of Computer Science and Engineering Jadavpur University Kolkata India Computer Science Department Graduate Center College of Staten Island City University of New York New York India University of Evry Paris-Saclay IBISC Laboratory 40 rue du Pelvoux Evry91020 France
Tracking objects in nighttime video presents significant challenges due to factors like low visibility, poor illumination, and the presence of distant, small, or low-contrast objects. Traditional tracking methods, whi... 详细信息
来源: 评论
Deep Learning-Based Facial Emotion Recognition for Advanced Human-computer Interaction  1
Deep Learning-Based Facial Emotion Recognition for Advanced ...
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1st International Conference on Advances in computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025
作者: Chindiyababy, U. Kakkar, Preetish Vedula, Jagadeesh Yunus, Jumaniyozov Umidbek, Abdalov Sharma, Subhash SRM Valliammai Engineering College Dept. of Information Technology Chennai India India Digital Transformation Lead Meghaz Inc. HoustonTX United States Urgench state university Department of psychology and pedagogy Urgench Uzbekistan Mamun university Department of History Khiva Uzbekistan Tula's Institute Department of Computer Science and Engineering Dehradun India
Deep learning technology establishes advanced methods for enhancing Human-computer Interaction systems by providing machines with the ability to sense and understand human emotional states. The capability's value ... 详细信息
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Distributed Split Computing Using Diffusive Metrics for UAV Swarms
arXiv
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arXiv 2025年
作者: Sarı, Talip Tolga Seçinti, Gökhan Trotta, Angelo Department of Computer Science and Engineering University of Bologna Italy Department of Computer Engineering Istanbul Technical University Turkey BTS - Digital Twin Application and Research Center Istanbul Technical University Turkey
In large-scale UAV swarms, dynamically executing machine learning tasks can pose significant challenges due to network volatility and the heterogeneous resource constraints of each UAV. Traditional approaches often re... 详细信息
来源: 评论