Artigos de revistas sobre o tema "Transformers network"
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S., S., Thulasi Bikku, P. Muthukumar, K. Sandeep, Jampani Chandra Sekhar e V. Krishna Pratap. "Enhanced Intrusion Detection Using Stacked FT-Transformer Architecture". Journal of Cybersecurity and Information Management 8, n.º 2 (2024): 19–29. http://dx.doi.org/10.54216/jcim.130202.
Texto completo da fonteJianwen, Mo, Mo Lunlin, Yuan Hua, Lin Leping e Chen Lingping. "CNN with Embedding Transformers for Person Reidentification". Mathematical Problems in Engineering 2023 (14 de julho de 2023): 1–12. http://dx.doi.org/10.1155/2023/4591991.
Texto completo da fonteVoitov, O. N., I. I. Golub, L. V. Semenova, E. V. Karpova e A. L. Buchinsky. "Effects of unbalanced loads in a low-voltage network on flow distribution in a medium-voltage network". iPolytech Journal 28, n.º 2 (4 de julho de 2024): 247–60. http://dx.doi.org/10.21285/1814-3520-2024-2-247-260.
Texto completo da fonteKrupa, Tadeusz. "Elements of Theory of the Correct Operations of Logistics Transforming Networks". Foundations of Management 9, n.º 1 (20 de dezembro de 2017): 347–60. http://dx.doi.org/10.1515/fman-2017-0026.
Texto completo da fonteDAUHIALA, D., V. TIKHANOVICH e K. BABAMURATOV. "LOSSES IN NETWORK AND SOUND TRANSFORMERS". HERALD OF POLOTSK STATE UNIVERSITY. Series С FUNDAMENTAL SCIENCES, n.º 1 (18 de abril de 2023): 38–43. http://dx.doi.org/10.52928/2070-1624-2023-40-1-38-43.
Texto completo da fonteHanus, Oleksii, e Kostiantyn Starkov. "STUDY OF THE NATURE OF OVERVOLTAGES IN THE ELECTRICAL NETWORK ARISING FROM VOLTAGE TRANSFORMERS". Bulletin of the National Technical University "KhPI". Series: Energy: Reliability and Energy Efficiency, n.º 1 (2) (2 de julho de 2021): 28–36. http://dx.doi.org/10.20998/2224-0349.2021.01.05.
Texto completo da fonteLakehal, Abdelaziz, e Fouad Tachi. "Bayesian Duval Triangle Method for Fault Prediction and Assessment of Oil Immersed Transformers". Measurement and Control 50, n.º 4 (maio de 2017): 103–9. http://dx.doi.org/10.1177/0020294017707461.
Texto completo da fonteAzmi Murad Abd Aziz, Mohd Aizam Talib, Ahmad Farid Abidin e Syed Abdul Mutalib Al Junid. "Development of Power Transformer Health Index Assessment Using Feedforward Neural Network". Journal of Advanced Research in Applied Sciences and Engineering Technology 30, n.º 3 (15 de maio de 2023): 276–89. http://dx.doi.org/10.37934/araset.30.3.276289.
Texto completo da fonteVarga, Aleksandr A., e Galaktion V. Shvedov. "Estimating the Error of Calculating the Load Losses in 6—10 kV Distribution Electric Networks". Vestnik MEI, n.º 5 (2021): 37–43. http://dx.doi.org/10.24160/1993-6982-2021-5-37-43.
Texto completo da fonteNadhirah, Nurul Fatin, Hana Abdull Halim, Nurhakimah Mohd Mukhtar e Samila Mat Zali. "Varying the energisation condition to mitigate sympathetic inrush current". International Journal of Electrical and Computer Engineering (IJECE) 13, n.º 6 (1 de dezembro de 2023): 5975. http://dx.doi.org/10.11591/ijece.v13i6.pp5975-5985.
Texto completo da fonteLee, Choongman, Gyu-Jung Cho e Joorak Kim. "Development of Scott Transformer Model in Electromagnetic Transients Programs for Real-Time Simulations". Applied Sciences 11, n.º 12 (21 de junho de 2021): 5752. http://dx.doi.org/10.3390/app11125752.
Texto completo da fonteLara, Hector, e Esteban Inga. "Efficient Strategies for Scalable Electrical Distribution Network Planning Considering Geopositioning". Electronics 11, n.º 19 (28 de setembro de 2022): 3096. http://dx.doi.org/10.3390/electronics11193096.
Texto completo da fonteIlyas, Iriandi, e Muhamad Taufan Agassy. "ANALISIS KEGAGALAN CURRENT TRANSFORMER (CT) TIPE DUA BELITAN SEKUNDER DENGAN INTI MAGNETIK TERPISAH PADA SISTEM PROTEKSI DAN PEMBATAS DAYA". SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI 32, n.º 1 (29 de março de 2022): 41–48. http://dx.doi.org/10.37277/stch.v32i1.1240.
Texto completo da fonteAlharthi, Musleh, e Ausif Mahmood. "Enhanced Linear and Vision Transformer-Based Architectures for Time Series Forecasting". Big Data and Cognitive Computing 8, n.º 5 (16 de maio de 2024): 48. http://dx.doi.org/10.3390/bdcc8050048.
Texto completo da fonteShao, Ran, Xiao-Jun Bi e Zheng Chen. "A novel hybrid transformer-CNN architecture for environmental microorganism classification". PLOS ONE 17, n.º 11 (11 de novembro de 2022): e0277557. http://dx.doi.org/10.1371/journal.pone.0277557.
Texto completo da fonteMoon, Ji-Hwan, Gyuho Choi, Yu-Hwan Kim e Won-Yeol Kim. "PCTC-Net: A Crack Segmentation Network with Parallel Dual Encoder Network Fusing Pre-Conv-Based Transformers and Convolutional Neural Networks". Sensors 24, n.º 5 (24 de fevereiro de 2024): 1467. http://dx.doi.org/10.3390/s24051467.
Texto completo da fonteZhou, Mingjie, Jing Xu, Chaojian Xing, Yankai Li e Shuxin Liu. "Research for transformer operation state prediction method based on BO-CNN-GRU". Journal of Physics: Conference Series 2770, n.º 1 (1 de maio de 2024): 012013. http://dx.doi.org/10.1088/1742-6596/2770/1/012013.
Texto completo da fonteTan, Chang, Jianxun Hong, Zihao Wu, Qiuyuan Huang e Cheng Wang. "Parasitic Parameter Prediction for Planar Transformers Based on Neural Network". Journal of Physics: Conference Series 2584, n.º 1 (1 de setembro de 2023): 012083. http://dx.doi.org/10.1088/1742-6596/2584/1/012083.
Texto completo da fonteKrishna, A. Prudhvi, P. Srinivasa Varma, R. B. R. Prakash e V. Kiran Babu. "Prioritization of network transformers in electrical distribution system by considering social welfare index". Indonesian Journal of Electrical Engineering and Computer Science 16, n.º 1 (1 de outubro de 2019): 25. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp25-32.
Texto completo da fonteFiennes, J., e C. R. de Souza. "The Complex Transformer as a Network-Model Element". International Journal of Electrical Engineering & Education 40, n.º 1 (janeiro de 2003): 27–35. http://dx.doi.org/10.7227/ijeee.40.1.3.
Texto completo da fonteGoran Jerbić. "APPLICATION OF PHASE SHIFTING TRANSFORMERS IN THE CROATIAN POWER SUPPLY SYSTEM". Journal of Energy - Energija 56, n.º 2 (16 de novembro de 2022): 216–31. http://dx.doi.org/10.37798/2007562353.
Texto completo da fonteKumari, Rekha, Gurpreet Kaur, Aditya Rawat, Harshit Chauhan, Kartik Singh Negi e Rishi Mishra. "ANALYSIS OF TRANSFORMER-DEEP NEURAL NETWORK USING DEEP LEARNING". International Journal of Engineering Applied Sciences and Technology 8, n.º 2 (1 de junho de 2023): 313–19. http://dx.doi.org/10.33564/ijeast.2023.v08i02.048.
Texto completo da fonteN. S., Okorie. "Optimization of Energy Efficiency for Electric Power Distribution System Losses". International Journal for Research in Applied Science and Engineering Technology 9, n.º 12 (31 de dezembro de 2021): 934–40. http://dx.doi.org/10.22214/ijraset.2021.39074.
Texto completo da fontePetrescu, L., E. Cazacu, V. Ioniţă e Maria-Cătălina Petrescu. "An Experimental Device for Measuring the Single-Phase Transformers Inrush Current". Scientific Bulletin of Electrical Engineering Faculty 19, n.º 1 (1 de abril de 2019): 18–22. http://dx.doi.org/10.1515/sbeef-2019-0004.
Texto completo da fonteJamali, Ali, e Masoud Mahdianpari. "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data". Remote Sensing 14, n.º 2 (13 de janeiro de 2022): 359. http://dx.doi.org/10.3390/rs14020359.
Texto completo da fonteJiao, Jinyue, Zhiqiang Gong e Ping Zhong. "Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection". Remote Sensing 15, n.º 19 (24 de setembro de 2023): 4675. http://dx.doi.org/10.3390/rs15194675.
Texto completo da fonteCremasco, Andrea, Wei Wu, Andreas Blaszczyk e Bogdan Cranganu-Cretu. "Network modelling of dry-type transformer cooling systems". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, n.º 3 (8 de maio de 2018): 1039–53. http://dx.doi.org/10.1108/compel-12-2016-0534.
Texto completo da fonteShen, Zhan, Bingxin Xu, Chenglei Liu, Cungang Hu, Bi Liu, Zhike Xu, Long Jin e Wu Chen. "The Modeling and Simplification of a Thermal Model of a Planar Transformer Based on Internal Power Loss". Sustainability 14, n.º 19 (21 de setembro de 2022): 11915. http://dx.doi.org/10.3390/su141911915.
Texto completo da fonteXu, Honghua, Yong Li, Lei Zhu e Ziqiang Xu. "Condition assessment of transformers in wind farm based on modified one-dim residual neural network". Journal of Physics: Conference Series 2378, n.º 1 (1 de dezembro de 2022): 012078. http://dx.doi.org/10.1088/1742-6596/2378/1/012078.
Texto completo da fonteBae, Jinwoo, Sungho Moon e Sunghoon Im. "Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 1 (26 de junho de 2023): 187–96. http://dx.doi.org/10.1609/aaai.v37i1.25090.
Texto completo da fonteRysev, Pavel V., Mikhail S. Peshko e Alexander O. Shepelev. "Intelligent voltage regulation system in the distribution electrical network based on fuzzy logic". Yugra State University Bulletin 18, n.º 3 (8 de outubro de 2022): 107–17. http://dx.doi.org/10.18822/byusu202203107-117.
Texto completo da fonteJasika, Ranko, Katarina Maksić e Jovan Mrvić. "Investigation of ferroresonance phenomena in isolated 6 kV power network". Zbornik radova Elektrotehnicki institut Nikola Tesla, n.º 33 (2023): 1–13. http://dx.doi.org/10.5937/zeint33-47844.
Texto completo da fonteJaiswal, Sushma, Harikumar Pallthadka, Rajesh P. Chinchewadi e Tarun Jaiswal. "Optimized Image Captioning: Hybrid Transformers Vision Transformers and Convolutional Neural Networks: Enhanced with Beam Search". International Journal of Intelligent Systems and Applications 16, n.º 2 (8 de abril de 2024): 53–61. http://dx.doi.org/10.5815/ijisa.2024.02.05.
Texto completo da fonteBraña, L., A. Costa e R. Lopes. "Development of a power transformer model for high-frequency transient phenomena". Renewable Energy and Power Quality Journal 19 (setembro de 2021): 217–21. http://dx.doi.org/10.24084/repqj19.260.
Texto completo da fonteT, Thoyyibah, Wasis Haryono, Achmad Udin Zailani, Yan Mitha Djaksana, Neny Rosmawarni e Nunik Destria Arianti. "Transformers in Machine Learning: Literature Review". Jurnal Penelitian Pendidikan IPA 9, n.º 9 (25 de setembro de 2023): 604–10. http://dx.doi.org/10.29303/jppipa.v9i9.5040.
Texto completo da fonteJurisic, Bruno, Marijan Perković, Ivan Novko, Luka Kovačić, Igor Žiger e Tomislav Župan. "Proposal of Testing Procedure for Resonance and Ferroresonance Inception Possibility in Instrument Transformers". Journal of Energy - Energija 73, n.º 2 (4 de junho de 2024): 21–24. http://dx.doi.org/10.37798/2024732520.
Texto completo da fonteHao, Zixin. "Comparative Analysis of Transformer Integration in U-net Networks for Enhanced Medical Image Segmentation". Highlights in Science, Engineering and Technology 94 (26 de abril de 2024): 333–40. http://dx.doi.org/10.54097/z4b39y45.
Texto completo da fonteZhou, Li, Tongqin Shi, Songquan Huang, Fangchao Ke, Zhenxi Huang, Zhaoyang Zhang e Jinzheng Liang. "Convolutional neural network for real-time main transformer detection". Journal of Physics: Conference Series 2229, n.º 1 (1 de março de 2022): 012021. http://dx.doi.org/10.1088/1742-6596/2229/1/012021.
Texto completo da fonteLiu, Yijie. "High-frequency transformers optimized design for power electronic transformers". Applied and Computational Engineering 10, n.º 1 (25 de setembro de 2023): 196–202. http://dx.doi.org/10.54254/2755-2721/10/20230174.
Texto completo da fonteDuan, Shiyao, Jiaojiao Li, Rui Song, Yunsong Li e Qian Du. "Unmixing-Guided Convolutional Transformer for Spectral Reconstruction". Remote Sensing 15, n.º 10 (18 de maio de 2023): 2619. http://dx.doi.org/10.3390/rs15102619.
Texto completo da fonteKlochikhin, Evgeny A., e Yurii P. Neugodnikov. "Evaluation of Technical and Economical Eff ectiveness of the Use of New Transformers for Railways Traction Substations". Innotrans, n.º 4 (2023): 62–66. http://dx.doi.org/10.20291/2311-164x-2023-4-62-66.
Texto completo da fonteOdinaev, Ismoil, Andrey Pazderin, Murodbek Safaraliev, Firuz Kamalov, Mihail Senyuk e Pavel Y. Gubin. "Detection of Current Transformer Saturation Based on Machine Learning". Mathematics 12, n.º 3 (25 de janeiro de 2024): 389. http://dx.doi.org/10.3390/math12030389.
Texto completo da fonteMajeed, Issah Babatunde, e Nnamdi I. Nwulu. "Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network". Energies 15, n.º 23 (6 de dezembro de 2022): 9238. http://dx.doi.org/10.3390/en15239238.
Texto completo da fonteWei, Jiangshu, Jinrong Chen, Yuchao Wang, Hao Luo e Wujie Li. "Improved deep learning image classification algorithm based on Swin Transformer V2". PeerJ Computer Science 9 (30 de outubro de 2023): e1665. http://dx.doi.org/10.7717/peerj-cs.1665.
Texto completo da fonteLiu, Jie, Songren Mao e Liangrui Pan. "Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation". Applied Sciences 14, n.º 10 (10 de maio de 2024): 4073. http://dx.doi.org/10.3390/app14104073.
Texto completo da fonteZheng, Yuping, e Weiwei Jiang. "Evaluation of Vision Transformers for Traffic Sign Classification". Wireless Communications and Mobile Computing 2022 (4 de junho de 2022): 1–14. http://dx.doi.org/10.1155/2022/3041117.
Texto completo da fonteNozdrenkov, V. S., I. M. Diahovchenko, M. V. Petrovskyi e V. V. Volokhin. "Fuzzy model of compensation for aging factors of distribution transformers". Electrical Engineering and Power Engineering, n.º 2 (27 de junho de 2024): 7–17. http://dx.doi.org/10.15588/1607-6761-2024-2-1.
Texto completo da fonteAlyunov, A. N., O. S. Vyatkina, I. G. Akhmetova, R. D. Pentiuc e K. E. Sakipov. "Issues on optimization of operating modes of power transformers". E3S Web of Conferences 124 (2019): 02015. http://dx.doi.org/10.1051/e3sconf/201912402015.
Texto completo da fonteKaur, Amrinder, Yadwinder Singh Brar e Leena G. "Fault detection in power transformers using random neural networks". International Journal of Electrical and Computer Engineering (IJECE) 9, n.º 1 (1 de fevereiro de 2019): 78. http://dx.doi.org/10.11591/ijece.v9i1.pp78-84.
Texto completo da fonteLesniewska, Elzbieta. "Influence of the Selection of the Core Shape and Winding Arrangement on the Accuracy of Current Transformers with Through-Going Primary Cable". Energies 14, n.º 7 (31 de março de 2021): 1932. http://dx.doi.org/10.3390/en14071932.
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