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检索条件"机构=Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering"
43207 条 记 录,以下是261-270 订阅
PA-Star2: Fast Optimal Multiple Sequence Alignment for Asymmetric Multicore Processors  33
PA-Star2: Fast Optimal Multiple Sequence Alignment for Asymm...
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33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025
作者: Sundfeld, Daniel Teodoro, George Melo, Alba C. M. A. Faculty of Science & Tech. in Engineering Brasilia Brazil Department of Computer Science Belo Horizonte Brazil Department of Computer Science Brasilia Brazil
Multiple Sequence Alignment (MSA) is an important operation in Bioinformatics, used to simultaneously compare 3 or more sequences. The MSA problem was proven NP-Hard, so strategies have been proposed to reduce the sea... 详细信息
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High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments
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Tsinghua science and Technology 2024年 第4期29卷 1118-1137页
作者: Azam Fazel-Najafabadi Mahdi Abbasi Hani H.Attar Ayman Amer Amir Taherkordi Azad Shokrollahi Mohammad R.Khosravi Ahmed A.Solyman Department of Computer Engineering Faculty of EngineeringBu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13132Jordan Department of Informatics University of OsloOslo 0316Norway Department of Computer Science MalmöUniversityMalmö20506Sweden Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261100China Department of Electrical and Electronics Engineering NişantaşıUniversityIstanbul 34481742Türkiye
The network switches in the data plane of Software Defined Networking (SDN) are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data are classified into specific f... 详细信息
来源: 评论
Intelligent obstacle avoidance algorithm for safe urban monitoring with autonomous mobile drones
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Journal of Electronic science and Technology 2024年 第4期22卷 19-36页
作者: Didar Yedilkhan Abzal E.Kyzyrkanov Zarina A.Kutpanova Shadi Aljawarneh Sabyrzhan K.Atanov Department of Computer Engineering Astana IT UniversityAstana010000Kazakhstan Department of Computer and Software Engineering L.N.Gumilyov Eurasian National UniversityAstana010000Kazakhstan Department of Automation and Control Systems L.N.Gumilyov Eurasian National UniversityAstana010000Kazakhstan Department of Software Engineering Jordan University of Science and TechnologyIrbid22110Jordan
The growing field of urban monitoring has increasingly recognized the potential of utilizing autonomous technologies,particularly in drone *** deployment of intelligent drone swarms offers promising solutions for enha... 详细信息
来源: 评论
IoT based Line of control Monitoring System  2
IoT based Line of Control Monitoring System
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2nd International Conference on Machine Learning and Autonomous systems, ICMLAS 2025
作者: Petkar, Taniya Faculty of Engineering and Technology Department of Computer Science And Medical Engineering Maharashtra Wardha442001 India
This paper presents a novel line-of-control (LoC) monitoring system that leverages the Internet of Things (IoT) to improve border security. The system creates a strong infrastructure for real-time monitoring throughou... 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
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A Study on Existing EHR Models Used for Validating the Clinical Records  6th
A Study on Existing EHR Models Used for Validating the Clini...
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6th International Conference on Innovative Computing and Communication, ICICC 2023
作者: Sharma, Priyanka Kumar, Tapas Tyagi, S.S. Department of Computer Science Engineering Faculty of Engineering MRIIRS Faridabad India Department of Computer Science Engineering Faculty of Engineering IIMT Greater Noida India
EHR was a statistical database of electronic health records for individuals or demographics that can be accessed through diverse healthcare environments. Planning for long-term retention and handling of electronic hea... 详细信息
来源: 评论
A Neutrosophic Study for the Transmission of Infection with Pathogenic Fungi from Males of Olive Fly Insects to Their Females
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Neutrosophic Sets and systems 2024年 64卷 38-45页
作者: Alhabib, Amani Alhabib, Rafif Khalid, Huda E. Salama, A.A. Faculty of Agricultural Engineering Albaath University Homs Syria Department of Mathematics Faculty of Science Hama University Hama Syria Telafer University Telafer Iraq Department of Mathematics and Computer Science Faculty of Science Port Said University Port Said Egypt
This paper presents the study of the effectiveness of horizontal transfer of local isolates of the pathogenic fungus Beauveria bassiana (Balsamo) on adults of olive fruit fly Bactrocera oleae (Rossi) at a concentratio... 详细信息
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Evaluating Pretrained Deep Learning Models for COVID-19 Detection in Medical Imaging  1
Evaluating Pretrained Deep Learning Models for COVID-19 Dete...
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1st Renewable Energy Technologies and Modern Communications systems: Future and Challenges Conference, RETMCS 2024
作者: AL-Shehri, Bushra A. Sabbeh, Sahar F. Dessouky, Mohamed M. Department of Data Science College of Computer Science and Engineering University of Jeddah Jeddah23218 Saudi Arabia Faculty of Computers and Artificial Intelligence Information Systems Department Benha University Benha13518 Egypt Department of Computer Science and Artificial Intelligence College of Computer Science and Engineering University of Jeddah Jeddah23218 Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt
COVID-19 is a respiratory disease for which reverse transcription-polymerase chain reaction (RT-PCR) is the standard detection method. This study introduces a hybrid deep learning approach to support the diagnosis of ... 详细信息
来源: 评论
Contemporary Study for Detection of COVID-19 Using Machine Learning with Explainable AI
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computers, Materials & Continua 2024年 第7期80卷 1075-1104页
作者: Saad Akbar Humera Azam Sulaiman Sulmi Almutairi Omar Alqahtani Habib Shah Aliya Aleryani Department of Computer Science University of KarachiKarachi75270Pakistan Department of Computing Faculty of Engineering Science and TechnologyHamdard UniversityKarachi75540Pakistan Department of Health Informatics College of Applied Medical SciencesQassim UniversityQassim51452Saudi Arabia Department of Computer Science College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia
The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic *** this article,a hybrid approach in terms of datasets as well as the methodology by utilizing a previously unexplored d... 详细信息
来源: 评论
Fake News Classification: Past, Current, and Future
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computers, Materials & Continua 2023年 第11期77卷 2225-2249页
作者: Muhammad Usman Ghani Khan Abid Mehmood Mourad Elhadef Shehzad Ashraf Chaudhry Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science&Information Technology Abu Dhabi UniversityAbu Dhabi59911United Arab Emirates Department of Software Engineering Faculty of Engineering and ArchitectureNisantasi UniversityIstanbulTurkey
The proliferation of deluding data such as fake news and phony audits on news web journals,online publications,and internet business apps has been aided by the availability of the web,cell phones,and social *** can qu... 详细信息
来源: 评论