Artykuły w czasopismach na temat „Transformers network”
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S., S., Thulasi Bikku, P. Muthukumar, K. Sandeep, Jampani Chandra Sekhar i V. Krishna Pratap. "Enhanced Intrusion Detection Using Stacked FT-Transformer Architecture". Journal of Cybersecurity and Information Management 8, nr 2 (2024): 19–29. http://dx.doi.org/10.54216/jcim.130202.
Pełny tekst źródłaJianwen, Mo, Mo Lunlin, Yuan Hua, Lin Leping i Chen Lingping. "CNN with Embedding Transformers for Person Reidentification". Mathematical Problems in Engineering 2023 (14.07.2023): 1–12. http://dx.doi.org/10.1155/2023/4591991.
Pełny tekst źródłaVoitov, O. N., I. I. Golub, L. V. Semenova, E. V. Karpova i A. L. Buchinsky. "Effects of unbalanced loads in a low-voltage network on flow distribution in a medium-voltage network". iPolytech Journal 28, nr 2 (4.07.2024): 247–60. http://dx.doi.org/10.21285/1814-3520-2024-2-247-260.
Pełny tekst źródłaKrupa, Tadeusz. "Elements of Theory of the Correct Operations of Logistics Transforming Networks". Foundations of Management 9, nr 1 (20.12.2017): 347–60. http://dx.doi.org/10.1515/fman-2017-0026.
Pełny tekst źródłaDAUHIALA, D., V. TIKHANOVICH i K. BABAMURATOV. "LOSSES IN NETWORK AND SOUND TRANSFORMERS". HERALD OF POLOTSK STATE UNIVERSITY. Series С FUNDAMENTAL SCIENCES, nr 1 (18.04.2023): 38–43. http://dx.doi.org/10.52928/2070-1624-2023-40-1-38-43.
Pełny tekst źródłaHanus, Oleksii, i 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, nr 1 (2) (2.07.2021): 28–36. http://dx.doi.org/10.20998/2224-0349.2021.01.05.
Pełny tekst źródłaLakehal, Abdelaziz, i Fouad Tachi. "Bayesian Duval Triangle Method for Fault Prediction and Assessment of Oil Immersed Transformers". Measurement and Control 50, nr 4 (maj 2017): 103–9. http://dx.doi.org/10.1177/0020294017707461.
Pełny tekst źródłaAzmi Murad Abd Aziz, Mohd Aizam Talib, Ahmad Farid Abidin i 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, nr 3 (15.05.2023): 276–89. http://dx.doi.org/10.37934/araset.30.3.276289.
Pełny tekst źródłaVarga, Aleksandr A., i Galaktion V. Shvedov. "Estimating the Error of Calculating the Load Losses in 6—10 kV Distribution Electric Networks". Vestnik MEI, nr 5 (2021): 37–43. http://dx.doi.org/10.24160/1993-6982-2021-5-37-43.
Pełny tekst źródłaNadhirah, Nurul Fatin, Hana Abdull Halim, Nurhakimah Mohd Mukhtar i Samila Mat Zali. "Varying the energisation condition to mitigate sympathetic inrush current". International Journal of Electrical and Computer Engineering (IJECE) 13, nr 6 (1.12.2023): 5975. http://dx.doi.org/10.11591/ijece.v13i6.pp5975-5985.
Pełny tekst źródłaLee, Choongman, Gyu-Jung Cho i Joorak Kim. "Development of Scott Transformer Model in Electromagnetic Transients Programs for Real-Time Simulations". Applied Sciences 11, nr 12 (21.06.2021): 5752. http://dx.doi.org/10.3390/app11125752.
Pełny tekst źródłaLara, Hector, i Esteban Inga. "Efficient Strategies for Scalable Electrical Distribution Network Planning Considering Geopositioning". Electronics 11, nr 19 (28.09.2022): 3096. http://dx.doi.org/10.3390/electronics11193096.
Pełny tekst źródłaIlyas, Iriandi, i 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, nr 1 (29.03.2022): 41–48. http://dx.doi.org/10.37277/stch.v32i1.1240.
Pełny tekst źródłaAlharthi, Musleh, i Ausif Mahmood. "Enhanced Linear and Vision Transformer-Based Architectures for Time Series Forecasting". Big Data and Cognitive Computing 8, nr 5 (16.05.2024): 48. http://dx.doi.org/10.3390/bdcc8050048.
Pełny tekst źródłaShao, Ran, Xiao-Jun Bi i Zheng Chen. "A novel hybrid transformer-CNN architecture for environmental microorganism classification". PLOS ONE 17, nr 11 (11.11.2022): e0277557. http://dx.doi.org/10.1371/journal.pone.0277557.
Pełny tekst źródłaMoon, Ji-Hwan, Gyuho Choi, Yu-Hwan Kim i 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, nr 5 (24.02.2024): 1467. http://dx.doi.org/10.3390/s24051467.
Pełny tekst źródłaZhou, Mingjie, Jing Xu, Chaojian Xing, Yankai Li i Shuxin Liu. "Research for transformer operation state prediction method based on BO-CNN-GRU". Journal of Physics: Conference Series 2770, nr 1 (1.05.2024): 012013. http://dx.doi.org/10.1088/1742-6596/2770/1/012013.
Pełny tekst źródłaTan, Chang, Jianxun Hong, Zihao Wu, Qiuyuan Huang i Cheng Wang. "Parasitic Parameter Prediction for Planar Transformers Based on Neural Network". Journal of Physics: Conference Series 2584, nr 1 (1.09.2023): 012083. http://dx.doi.org/10.1088/1742-6596/2584/1/012083.
Pełny tekst źródłaKrishna, A. Prudhvi, P. Srinivasa Varma, R. B. R. Prakash i 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, nr 1 (1.10.2019): 25. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp25-32.
Pełny tekst źródłaFiennes, J., i C. R. de Souza. "The Complex Transformer as a Network-Model Element". International Journal of Electrical Engineering & Education 40, nr 1 (styczeń 2003): 27–35. http://dx.doi.org/10.7227/ijeee.40.1.3.
Pełny tekst źródłaGoran Jerbić. "APPLICATION OF PHASE SHIFTING TRANSFORMERS IN THE CROATIAN POWER SUPPLY SYSTEM". Journal of Energy - Energija 56, nr 2 (16.11.2022): 216–31. http://dx.doi.org/10.37798/2007562353.
Pełny tekst źródłaKumari, Rekha, Gurpreet Kaur, Aditya Rawat, Harshit Chauhan, Kartik Singh Negi i Rishi Mishra. "ANALYSIS OF TRANSFORMER-DEEP NEURAL NETWORK USING DEEP LEARNING". International Journal of Engineering Applied Sciences and Technology 8, nr 2 (1.06.2023): 313–19. http://dx.doi.org/10.33564/ijeast.2023.v08i02.048.
Pełny tekst źródłaN. S., Okorie. "Optimization of Energy Efficiency for Electric Power Distribution System Losses". International Journal for Research in Applied Science and Engineering Technology 9, nr 12 (31.12.2021): 934–40. http://dx.doi.org/10.22214/ijraset.2021.39074.
Pełny tekst źródłaPetrescu, L., E. Cazacu, V. Ioniţă i Maria-Cătălina Petrescu. "An Experimental Device for Measuring the Single-Phase Transformers Inrush Current". Scientific Bulletin of Electrical Engineering Faculty 19, nr 1 (1.04.2019): 18–22. http://dx.doi.org/10.1515/sbeef-2019-0004.
Pełny tekst źródłaJamali, Ali, i Masoud Mahdianpari. "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data". Remote Sensing 14, nr 2 (13.01.2022): 359. http://dx.doi.org/10.3390/rs14020359.
Pełny tekst źródłaJiao, Jinyue, Zhiqiang Gong i Ping Zhong. "Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection". Remote Sensing 15, nr 19 (24.09.2023): 4675. http://dx.doi.org/10.3390/rs15194675.
Pełny tekst źródłaCremasco, Andrea, Wei Wu, Andreas Blaszczyk i 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, nr 3 (8.05.2018): 1039–53. http://dx.doi.org/10.1108/compel-12-2016-0534.
Pełny tekst źródłaShen, Zhan, Bingxin Xu, Chenglei Liu, Cungang Hu, Bi Liu, Zhike Xu, Long Jin i Wu Chen. "The Modeling and Simplification of a Thermal Model of a Planar Transformer Based on Internal Power Loss". Sustainability 14, nr 19 (21.09.2022): 11915. http://dx.doi.org/10.3390/su141911915.
Pełny tekst źródłaXu, Honghua, Yong Li, Lei Zhu i Ziqiang Xu. "Condition assessment of transformers in wind farm based on modified one-dim residual neural network". Journal of Physics: Conference Series 2378, nr 1 (1.12.2022): 012078. http://dx.doi.org/10.1088/1742-6596/2378/1/012078.
Pełny tekst źródłaBae, Jinwoo, Sungho Moon i Sunghoon Im. "Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 1 (26.06.2023): 187–96. http://dx.doi.org/10.1609/aaai.v37i1.25090.
Pełny tekst źródłaRysev, Pavel V., Mikhail S. Peshko i Alexander O. Shepelev. "Intelligent voltage regulation system in the distribution electrical network based on fuzzy logic". Yugra State University Bulletin 18, nr 3 (8.10.2022): 107–17. http://dx.doi.org/10.18822/byusu202203107-117.
Pełny tekst źródłaJasika, Ranko, Katarina Maksić i Jovan Mrvić. "Investigation of ferroresonance phenomena in isolated 6 kV power network". Zbornik radova Elektrotehnicki institut Nikola Tesla, nr 33 (2023): 1–13. http://dx.doi.org/10.5937/zeint33-47844.
Pełny tekst źródłaJaiswal, Sushma, Harikumar Pallthadka, Rajesh P. Chinchewadi i 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, nr 2 (8.04.2024): 53–61. http://dx.doi.org/10.5815/ijisa.2024.02.05.
Pełny tekst źródłaBraña, L., A. Costa i R. Lopes. "Development of a power transformer model for high-frequency transient phenomena". Renewable Energy and Power Quality Journal 19 (wrzesień 2021): 217–21. http://dx.doi.org/10.24084/repqj19.260.
Pełny tekst źródłaT, Thoyyibah, Wasis Haryono, Achmad Udin Zailani, Yan Mitha Djaksana, Neny Rosmawarni i Nunik Destria Arianti. "Transformers in Machine Learning: Literature Review". Jurnal Penelitian Pendidikan IPA 9, nr 9 (25.09.2023): 604–10. http://dx.doi.org/10.29303/jppipa.v9i9.5040.
Pełny tekst źródłaJurisic, Bruno, Marijan Perković, Ivan Novko, Luka Kovačić, Igor Žiger i Tomislav Župan. "Proposal of Testing Procedure for Resonance and Ferroresonance Inception Possibility in Instrument Transformers". Journal of Energy - Energija 73, nr 2 (4.06.2024): 21–24. http://dx.doi.org/10.37798/2024732520.
Pełny tekst źródłaHao, Zixin. "Comparative Analysis of Transformer Integration in U-net Networks for Enhanced Medical Image Segmentation". Highlights in Science, Engineering and Technology 94 (26.04.2024): 333–40. http://dx.doi.org/10.54097/z4b39y45.
Pełny tekst źródłaZhou, Li, Tongqin Shi, Songquan Huang, Fangchao Ke, Zhenxi Huang, Zhaoyang Zhang i Jinzheng Liang. "Convolutional neural network for real-time main transformer detection". Journal of Physics: Conference Series 2229, nr 1 (1.03.2022): 012021. http://dx.doi.org/10.1088/1742-6596/2229/1/012021.
Pełny tekst źródłaLiu, Yijie. "High-frequency transformers optimized design for power electronic transformers". Applied and Computational Engineering 10, nr 1 (25.09.2023): 196–202. http://dx.doi.org/10.54254/2755-2721/10/20230174.
Pełny tekst źródłaDuan, Shiyao, Jiaojiao Li, Rui Song, Yunsong Li i Qian Du. "Unmixing-Guided Convolutional Transformer for Spectral Reconstruction". Remote Sensing 15, nr 10 (18.05.2023): 2619. http://dx.doi.org/10.3390/rs15102619.
Pełny tekst źródłaKlochikhin, Evgeny A., i Yurii P. Neugodnikov. "Evaluation of Technical and Economical Eff ectiveness of the Use of New Transformers for Railways Traction Substations". Innotrans, nr 4 (2023): 62–66. http://dx.doi.org/10.20291/2311-164x-2023-4-62-66.
Pełny tekst źródłaOdinaev, Ismoil, Andrey Pazderin, Murodbek Safaraliev, Firuz Kamalov, Mihail Senyuk i Pavel Y. Gubin. "Detection of Current Transformer Saturation Based on Machine Learning". Mathematics 12, nr 3 (25.01.2024): 389. http://dx.doi.org/10.3390/math12030389.
Pełny tekst źródłaMajeed, Issah Babatunde, i Nnamdi I. Nwulu. "Impact of Reverse Power Flow on Distributed Transformers in a Solar-Photovoltaic-Integrated Low-Voltage Network". Energies 15, nr 23 (6.12.2022): 9238. http://dx.doi.org/10.3390/en15239238.
Pełny tekst źródłaWei, Jiangshu, Jinrong Chen, Yuchao Wang, Hao Luo i Wujie Li. "Improved deep learning image classification algorithm based on Swin Transformer V2". PeerJ Computer Science 9 (30.10.2023): e1665. http://dx.doi.org/10.7717/peerj-cs.1665.
Pełny tekst źródłaLiu, Jie, Songren Mao i Liangrui Pan. "Attention-Based Two-Branch Hybrid Fusion Network for Medical Image Segmentation". Applied Sciences 14, nr 10 (10.05.2024): 4073. http://dx.doi.org/10.3390/app14104073.
Pełny tekst źródłaZheng, Yuping, i Weiwei Jiang. "Evaluation of Vision Transformers for Traffic Sign Classification". Wireless Communications and Mobile Computing 2022 (4.06.2022): 1–14. http://dx.doi.org/10.1155/2022/3041117.
Pełny tekst źródłaNozdrenkov, V. S., I. M. Diahovchenko, M. V. Petrovskyi i V. V. Volokhin. "Fuzzy model of compensation for aging factors of distribution transformers". Electrical Engineering and Power Engineering, nr 2 (27.06.2024): 7–17. http://dx.doi.org/10.15588/1607-6761-2024-2-1.
Pełny tekst źródłaAlyunov, A. N., O. S. Vyatkina, I. G. Akhmetova, R. D. Pentiuc i 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.
Pełny tekst źródłaKaur, Amrinder, Yadwinder Singh Brar i Leena G. "Fault detection in power transformers using random neural networks". International Journal of Electrical and Computer Engineering (IJECE) 9, nr 1 (1.02.2019): 78. http://dx.doi.org/10.11591/ijece.v9i1.pp78-84.
Pełny tekst źródłaLesniewska, 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, nr 7 (31.03.2021): 1932. http://dx.doi.org/10.3390/en14071932.
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