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检索条件"机构=Department of Computer Science and Intelligent Systems Program"
6656 条 记 录,以下是11-20 订阅
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Comparison of Machine Learning Algorithms for Predicting Thyroid Disorders in Diabetic Patients
Informatica (Slovenia)
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Informatica (Slovenia) 2025年 第12期49卷 105-114页
作者: Sayyid, Hiba O. Mahmood, Salma A. Hamadi, Saad S. Department of Computer Science University of Basrah College of Computer Sciences and Information Technology Basrah Iraq Department of Intelligent Medical Systems University of Basrah College of Computer Sciences and Information Technology Basrah Iraq Department of Internal Medicine University of Basrah College of Medicine Basrah Iraq
Machine Learning (ML), a subfield of Artificial Intelligence (AI), has been used successfully in the healthcare domain for disease diagnosis. Thyroid disorders and diabetes are two of the most prevalent and interconne... 详细信息
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5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm
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computers, Materials & Continua 2024年 第7期80卷 1179-1201页
作者: Amel Ali Alhussan S.K.Towfek Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science and Intelligent Systems Research Center BlacksburgVA 24060USA
In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is seen as a vital step forward with theoretical maximum download speeds of up to twenty gigabits per second(Gbps)... 详细信息
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Comparative Study of Machine Learning Models and Distributed Runoff Models for Predicting Flood Water Level
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IEIE Transactions on Smart Processing and Computing 2023年 第3期12卷 215-222页
作者: Kubo, Tasuku Okazaki, Takeo Graduate school of Engineering and Science University of the Ryukyus Senbaru Nishihara Japan Department of Computer Science and Intelligent Systems University of the Ryukyus Senbaru Nishihara Japan
Conventional flood forecasting methods can be roughly classified as physics-based models and data-oriented models, which both require parameter optimization. In parameter optimization, a search is generally done to mi... 详细信息
来源: 评论
Mixed-decomposed convolutional network:A lightweight yet efficient convolutional neural network for ocular disease recognition
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CAAI Transactions on Intelligence Technology 2024年 第2期9卷 319-332页
作者: Xiaoqing Zhang Xiao Wu Zunjie Xiao Lingxi Hu Zhongxi Qiu Qingyang Sun Risa Higashita Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhenChina Tomey Corporation NagoyaJapan Guangdong Provincial Key Laboratory of Brain‐inspired Intelligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhenChina Singapore Eye Research Institute SingaporeSingapore
Eye health has become a global health concern and attracted broad *** the years,researchers have proposed many state-of-the-art convolutional neural networks(CNNs)to assist ophthalmologists in diagnosing ocular diseas... 详细信息
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Use that Pinky on the ‘A’ Key: A Finger-Key Identification Module for a Touch Typing Trainer  4th
Use that Pinky on the ‘A’ Key: A Finger-Key Identificati...
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4th International Conference on Advances in Computational science and Engineering, ICACSE 2023
作者: Valles, Oscar Vian L. Gom-os, Dhong Fhel K. Center for Research in Intelligent Systems Department of Computer Science University of the Philippines Cebu Cebu6000 Philippines
Typing tests list out words for the user to repeat. These tests measure metrics that quantify the user’s ability to type. However, conventional typing metrics do not measure correct finger placement. This aspect of t... 详细信息
来源: 评论
Naïve Bayesian Approach to Intruder Detection in Smart Homes Using Sensor Networks  4th
Naïve Bayesian Approach to Intruder Detection in Smart Ho...
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4th International Conference on Advances in Computational science and Engineering, ICACSE 2023
作者: Bolivar, Daisy Jane S. Gom-os, Dhong Fhel K. Department of Computer Science Center for Research in Intelligent Systems University of the Philippines Cebu Cebu6000 Philippines
We used camera, light, door, and window sensors, and day of the week, duration, and activation time parameters for a Naïve Bayesian approach to intruder detection in a smart home. A nine-week normal and a two-wee... 详细信息
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Automatic extraction of lightweight and efficient neural network architecture of heavy convolutional architectures to predict microsatellite instability from hematoxylin and eosin histology in gastric cancer
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Neural Computing and Applications 2024年 第25期36卷 15295-15321页
作者: Rostami, Habib Ashkpour, Maryam Behzadi-Khormouji, Hamed Mokhtari, Maral Khayati, Armin Keshavarz, Ahmad Talatian Azad, Saeed Tabesh, Yahya Computer Engineering Department Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr75168 Iran Artificial Intelligence and Intelligent Healthcare Lab Artificial Intelligence and Data Mining Research Group Faculty of Intelligent Systems Engineering and Data Science ICT Research Institute Persian Gulf University Bushehr75168 Iran Faculty of New Science and Technologies University of Tehran Tehran Iran Department of Computer Science Imec-IDLab University of Antwerp Sint-Pietersvliet 7 Antwerp2000 Belgium Shahid Faghihi Hospital Shiraz University of Medical Sciences Shiraz Iran Department of Computer Science Engineering and IT School of Electrical and Computer Engineering Shiraz University Shiraz Iran Electrical Engineering Department Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr75168 Iran IoT and Signal Processing Research Group Faculty of Intelligent Systems Engineering and Data Science ICT Research Institute Persian Gulf University Bushehr75168 Iran Department of Mathematical Sciences Sharif University of Technology Tehran Iran
Cancers have emerged as a significant concern due to their impact on public health and society. The examination and interpretation of tissue sections stained with Hematoxylin and Eosin (H&E) play a crucial role in... 详细信息
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Deep Learning Based Side-Channel Attack Detection for Mobile Devices Security in 5G Networks
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清华大学学报自然科学版(英文版) 2025年 第3期30卷 1012-1026页
作者: Amjed A.Ahmed Mohammad Kamrul Hasan Ali Alqahtani Shayla Islam Bishwajeet Pandey Leila Rzayeva Huda Saleh Abbas Azana Hafizah Mohd Aman Nayef Alqahtani Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Imam Alkadhim University College Department of Computer Techniques EngineeringBaghdad 10066Iraq Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Department of Networks and Communications Engineering College of Computer Science and Information SystemsNajran UniversityNajran 61441Saudi Arabia Institute of Computer Science and Digital Innovation UCSI UniversityKuala Lumpur 56000Malaysia Department of Intelligent Systems and Cyber Security Astana IT UniversityAstana 20000Kazakstan Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinah 42353Saudi Arabia Department of Electrical Engineering College of EngineeringKing Faisal UniversityAl-Hofuf 31982Saudi Arabia
Mobile devices within Fifth Generation(5G)networks,typically equipped with Android systems,serve as a bridge to connect digital gadgets such as global positioning system,mobile devices,and wireless routers,which are v... 详细信息
来源: 评论
Multi-layered Clustering for Context-aware Monitoring of District Heating Network
Multi-layered Clustering for Context-aware Monitoring of Dis...
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2024 IEEE International Conference on Big Data, BigData 2024
作者: Boeva, Veselka Abghari, Shahrooz Devagiri, Vishnu Manasa Brage, Jens Blekinge Institute of Technology Department of Computer Science Karlskrona Sweden Noda Intelligent Systems Ab Karlshamn Sweden
In this study, we propose to explore multi-layered clustering to provide a context-aware data analytics tool for monitoring the network behavior of subsystems, such as a district heating (DH) network. Multi-layer clus... 详细信息
来源: 评论
Cybersecurity Landscape on Remote State Estimation:A Comprehensive Review
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IEEE/CAA Journal of Automatica Sinica 2024年 第4期11卷 851-865页
作者: Jing Zhou Jun Shang Tongwen Chen the Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 1H9Canada the Department of Control Science and Engineering and Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China
Cyber-physical systems(CPSs)have emerged as an essential area of research in the last decade,providing a new paradigm for the integration of computational and physical units in modern control *** state estimation(RSE)... 详细信息
来源: 评论