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检索条件"机构=Department of Computer Software and Engineering"
21213 条 记 录,以下是21-30 订阅
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A Common Declarative Language for UML State Machine Representation, Model Transformation, and Interoperability of Visualization Tools  1st
A Common Declarative Language for UML State Machine Represe...
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1st International Symposium on software Fault Prevention, Verification, and Validation, SFPVV 2024
作者: Jannatpour, Ali Constantinides, Constantinos Department of Computer Science and Software Engineering Concordia University Montreal Canada
Originally presented in previous work to capture the set of fundamental elements of the UML state machine specification, Common Declarative Language (CDL) provides a model that can aid in the validation and verificati... 详细信息
来源: 评论
Identifying patients in need of psychological treatment with language representation models
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Multimedia Tools and Applications 2025年 第1期84卷 397-418页
作者: Aygün, İrfan Kaya, Buket Kaya, Mehmet Department of Software Engineering Celal Bayar University Manisa Turkey Department of Electronics and Automation Fırat University Elazig Turkey Department of Computer Engineering Fırat University Elazig Turkey
Early diagnosis of psychological disorders is very important for patients to regain their health. Research shows that many patients do not realize that they have a psychological disorder or apply to different departme... 详细信息
来源: 评论
#REval: A Semantic Evaluation Framework for Hashtag Recommendation
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IEEE Transactions on Knowledge and Data engineering 2025年 第6期37卷 3075-3087页
作者: Alsini, Areej Huynh, Du Q. Datta, Amitava Umm Al-Qura University Department of Computer Science and Artificial Intelligence Makkah24382 Saudi Arabia The University of Western Australia Department of Computer Science and Software Engineering Perth6009 Australia
Automatic evaluation of hashtag recommendation models is a fundamental task in Twitter. In the traditional evaluation methods, the recommended hashtags from an algorithm are first compared with the ground truth hashta... 详细信息
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Reliable Task Offloading for 6G-Based IoT Applications
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computers, Materials & Continua 2025年 第2期82卷 2255-2274页
作者: Usman Mahmood Malik Muhammad Awais Javed Ahmad Naseem Alvi Mohammed Alkhathami Department of Computer Software Engineering National University of Science and Technology(NUST)Islamabad44000Pakistan Department of Electrical and Computer Engineering COMSATS University IslamabadIslamabad45550Pakistan Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia
Fog computing is a key enabling technology of 6G systems as it provides quick and reliable computing,and data storage services which are required for several 6G *** Intelligence(AI)algorithms will be an integral part ... 详细信息
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Optimized COVID-19 detection using sparse deep learning models from multimodal imaging data
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Multimedia Tools and Applications 2025年 第13期84卷 11451-11474页
作者: Moradi, MohammadMahdi Hassanzadeh, Alireza Haghanifar, Arman Ko, Seok Bum Faculty of Computer Science and Software Engineering Concordia University MontrealQC Canada Faculty of Electrical Engineering Shahid Beheshti University Tehran Tehran Iran Department of Electrical & Computer Engineering University of Saskatchewan SaskatoonSK Canada
This paper explores the global spread of the COVID-19 virus since 2019, impacting 219 countries worldwide. Despite the absence of a definitive cure, the utilization of artificial intelligence (AI) methods for disease ... 详细信息
来源: 评论
Hybrid Raft-PoW Blockchain Consensus Algorithm
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IEEE Access 2025年 13卷 72067-72076页
作者: Kose Ulukok, Mehtap Sariyildiz, Irfan Evrim, Vesile Cyprus Aydın University Department of Software Engineering Northern Cyprus Mersin99010 Turkey European University of Lefke Department of Computer Engineering Northern Cyprus Mersin99010 Turkey
The Raft consensus algorithm is widely used in private networks as an alternative to the energy-intensive PoW consensus algorithm in blockchains. The Raft consensus algorithm’s voting mechanism performs well in relia... 详细信息
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COVID-19 Prediction Model Empowered with Fused Computational Intelligence Technique
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IEIE Transactions on Smart Processing and Computing 2025年 第1期14卷 109-117页
作者: Khan, Muhammad Adnan Naseer, Iftikhar Ali, Muhammad Nadeem Kim, Byung-Seo Department of Software Faculty of Artificial Intelligence & Software Gachon University Seongnam13120 Korea Republic of Faculty of Computer Science & Information Technology The Superior University Lahore54600 Pakistan Department of Software and Communications Engineering Hongik University Sejong Campus Korea Republic of
The novel Coronavirus (COVID-19) spread rapidly around the world and caused overwhelming effects on the health and economy of the world. It first appeared in Wuhan city of China and was declared a pandemic by the Worl... 详细信息
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Observability in Microservices: An In-Depth Exploration of Frameworks, Challenges, and Deployment Paradigms
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IEEE Access 2025年 13卷 72011-72039页
作者: Faseeha, Ummay Jamil Syed, Hassan Samad, Fahad Zehra, Sehar Ahmed, Hamza Department of Computer Science Karachi75030 Pakistan Jinnah University for Women Department of Computer Science and Software Engineering Karachi74600 Pakistan Kuala Lumpur57000 Malaysia Department of Cyber Security Karachi75030 Pakistan
The widespread adoption of microservices-based architectures in native cloud systems has amplified the need for robust observability strategies to ensure system reliability and performance. Microservices, while enabli... 详细信息
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Resilient Electricity Network Recovery Operation Following Seismic Events
Resilient Electricity Network Recovery Operation Following S...
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2025 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2025
作者: Arif, Shaila Nair, Nirmal-Kumar C. The University of Auckland Department of Electrical Computer and Software Engineering Auckland New Zealand
Seismic events, globally, are known to impact electricity networks, causing disruptions in the provision of energy and affecting the recovery well-being of communities. Contingency analysis is an established method fo... 详细信息
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Author profiling from Romanized Urdu text using transfer learning models
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Neural Computing and Applications 2025年 第6期37卷 4455-4470页
作者: Ali, Abid khan, Muhammad Sohail Khan, Muhammad Amin Khan, Sajid Ullah Khan, Faheem Department of Computer Software Engineering University of Engineering & Technology Mardan KPK Mardan23200 Pakistan Islamabad H-11/4 Islamabad44000 Pakistan Department of Information Systems College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Department of Computer Engineering Gachon University Seongnam-Si Korea Republic of
This research concentrates on author profiling using transfer learning models for classifying age and gender. The investigation encompassed a diverse set of transfer learning techniques, including Roberta, BERT, ALBER... 详细信息
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