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检索条件"机构=Slovak University of Technology Institute of Computer Engineering and Applied Informatics"
1744 条 记 录,以下是141-150 订阅
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Design of a Fast Discrete Realtime Filters Based on Analog Models
Design of a Fast Discrete Realtime Filters Based on Analog M...
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International Carpathian Control Conference (ICCC)
作者: Patrik Grosinger Jan Rybář Stanislav Ďuriš Institute of Applied Mechanics and Mechatronics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia
In this paper, a complete design of discrete low-pass, high-pass, band-pass, band-stop filters based on an analog model is performed. This approach combines the advantages of designing continuous-time filters, which a... 详细信息
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Cutting-Edge Predictive Methods for Enhancing Short-Term Load Prediction
Cutting-Edge Predictive Methods for Enhancing Short-Term Loa...
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Electrical and computer engineering Researches (ICECER), International Conference on
作者: Taher M. Ghazal Jamshaid Iqbal Janjua Walid Abushiba Munir Ahmad Tahir Abbas Karamath Ateeq College of Arts & Science Applied Science University Manama Kingdom of Bahrain Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Selangor Malaysia Al-Khawarizimi Institute of Computer Science (KICS) University of Engineering & Technology (UET) Lahore Pakistan College of Engineering Applied Science University Bahrain College of Informatics Korea University Seoul Republic of Korea Department of Computer Science TIMES Institute Multan Pakistan School of Computing Skyline University College University City Sharjah Sharjah UAE
Efficient management and cost-related factors in the power sector call for accurate short-term load forecasting as it enables better planning with the electric grid and achieving stability within it. This paper looks ... 详细信息
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Deep Learning and CNN-Based Approach for Efficient Detection of Potato Leaf Diseases
Deep Learning and CNN-Based Approach for Efficient Detection...
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IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing technology (AGERS)
作者: Taher M. Ghazal Jamshaid Iqbal Janjua Walid Abushiba Muhammad Salah-ud-Din Iqbal Waqas Iqbal Munir Ahmad Muhammad Saleem Faculty of Information Science and Technology College of Arts & Science Applied Science University Manama Bahrain & Center for Cyber Security Universiti Kebangsaan Malaysia Selangor Malaysia Al-Khawarizimi Institute of Computer Science (KICS) University of Engineering & Technology (UET) Lahore Pakistan College of Engineering Applied Science University Bahrain School of Computer Science Minhaj University Lahore Pakistan Department of forestry and Range Management University of Agriculture Faisalabad Pakistan College of Informatics Korea University Seoul Republic of Korea
Potato is a maj or food crop worldwide, providing essential nutrients to millions. However, various diseases can severely affect potato crops, leading to reduced yield and quality. Early disease detection is crucial f... 详细信息
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Parallel algorithm for the unsupervised binning of metagenomic sequences  21
Parallel algorithm for the unsupervised binning of metagenom...
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5th International Conference on Machine Learning and Soft Computing, ICMLSC 2021
作者: Hoang, Vu Vinh, Le Van Hoai, Tran Van Lang, Tran Van Bao, Huynh Quang Faculty of Information Technology HCMC University of Technology and Education Viet Nam Faculty of Computer Science and Engineering Ho Chi Minh City Viet Nam University of Technology VNU-HCM Viet Nam Institute of Applied Mechanics and Informatics VAST Viet Nam
The binning of metagenomic sequences is one of crucial steps in metagenomic projects which allow the study of uncultured organisms. Although the projects need to analyze a huge amount of data, most available binning m... 详细信息
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Theoretical and Numerical Investigation of Acoustic Cavitation Bubble Based on the Impact of Ultrasound Frequency
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Bulletin of the Russian Academy of Sciences: Physics 2023年 第Suppl 3期87卷 S341-S347页
作者: Ahmed K. Abu-Nab Abu-Bakr, Ali F. Zain Abu Shaeer Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom32511 Egypt Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Moscow oblast Dolgoprudny141700 Russia Department of Basic Science Higher Institute of Engineering and Technology Kafr El Sheikh33511 Egypt
Abstract: Acoustic cavitation is the expansion and contraction of existing microbubbles in liquids brought on by an ultrasonic field. The dynamics of oscillations at higher pressures and temperatures when the cavitati... 详细信息
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An Attention-Based Deep Network for Plant Disease Classification
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Machine Graphics and Vision 2024年 第1期33卷 47-67页
作者: Bera, Asish Bhattacharjee, Debotosh Krejcar, Ondrej Department of Computer Science and Information Systems Birla Institute of Technology and Science Rajasthan Pilani India Department of Computer Science and Engineering Jadavpur University West Bengal Kolkata India Center for Basic and Applied Science Faculty of Informatics and Management University of Hradec Králové Czech Republic Škoda Auto University Mladá Boleslav Czech Republic Universiti Teknologi Malaysia Kuala Lumpur Malaysia
Plant disease classification using machine learning in a real agricultural field environment is a difficult task. Often, an automated plant disease diagnosis method might fail to capture and interpret discriminatory i... 详细信息
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On the existence of highly organized communities in networks of locally interacting agents
arXiv
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arXiv 2023年
作者: Liagkou, V. Nastou, P.E. Spirakis, P. Stamatiou, Y.C. Computer Technology Institute and Press - "Diophantus" University of Patras Campus 26504 Greece Department of Computer Science University of Liverpool UK and Computer Engineering and Informatics Department University of Patras 26504 Greece Department of Business Administration University of Patras 26504 Greece University of Ioannina Department of Informatics and Telecommunications Kostakioi Arta47100 Greece Department of Mathematics University of the Aegean Applied Mathematics and Mathematical Modeling Laboratory Samos Greece Center for Applied Optimization University of Florida Gainesville United States
In this paper we investigate phenomena of spontaneous emergence or purposeful formation of highly organized structures in networks of related agents. We show that the formation of large organized structures requires e... 详细信息
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Digital Twins for Energy-Efficient Manufacturing
Digital Twins for Energy-Efficient Manufacturing
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Annual IEEE Systems Conference
作者: Nader Mohamed Sanja Lazarova-Molnar Jameela Al-Jaroodi Department of Computer Science and Information Systems Pennsylvania Western University California PA USA Institute of Applied Informatics and Formal Description Methods Karlsruhe Institute of Technology Karlsruhe Germany Faculty of Engineering University of Southern Denmark Odense Denmark Department of Engineering Robert Morris University Pittsburgh PA USA
Some manufacturing industries consume massive energy for their manufacturing and logistics processes. The costs of manufacturing can increase significantly as the energy cost increases. Such increase amplifies the fin... 详细信息
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Classification of Wind Turbine Defects based on the SqueezeNet Neural Network
Classification of Wind Turbine Defects based on the SqueezeN...
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International computer Sciences and Information Technologies (CSIT)
作者: Lesia Dubchak Anatoliy Sachenko Carsten Wolff Nadiia Vasylkiv Zenovii Bernas Department of Computer Engineering West Ukrainian National University Ternopil Ukraine Research Institute for Intelligent Computer Systems West Ukrainian National University Ternopil Ukraine Department of Tele-Informatics Kazimierz Pulaski University of Technology and Humanities in Radom Radom Poland Dortmund University of Applied Science and Arts Dortmund Germany Department of Information Computer Systems and Control West Ukrainian National University Ternopil Ukraine
The article presents a study on classifying wind turbine defects using the SqueezeNet neural network. Wind turbines are critical for renewable energy, but defects such as corrosion, erosion, and cracks can significant... 详细信息
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RadioModRec-l: A Large Scale Radio Frequency Dataset for Automatic Modulation Recognition Research
RadioModRec-l: A Large Scale Radio Frequency Dataset for Aut...
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International Conference on Emerging Trends in Networks and computer Communications (ETNCC)
作者: Emmanuel Adetiba Jamiu R. Olasina Obiseye Obiyemi Dept. of Electrical and Information Engineering Covenant Applied Informatics and Communication Africa Center of Excellence Covenant University Ota Nigeria HRA Institute for Systems Science Durban University of Technology Durban South Africa Dept. of Computer Engineering Federal Polytechnic Ilaro Ilaro Nigeria Dept. of Electrical Power Engineering Space Science Centre Durban University of Technology Durban South Africa
Access to well-curated large datasets remains a significant bottleneck in AI-based research within wireless communication. Rapid advancements in neighbouring fields, such as computer vision and natural language proces... 详细信息
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