Artigos de revistas sobre o tema "Transformer 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 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 fonteZhang, Fuping, Pengcheng Zhao e Jianming Wei. "Channel Transformer Network". IEEE Access 8 (2020): 220762–78. http://dx.doi.org/10.1109/access.2020.3042644.
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 fonteOttele, Andy, e Rahmat Shoureshi. "Neural Network-Based Adaptive Monitoring System for Power Transformer". Journal of Dynamic Systems, Measurement, and Control 123, n.º 3 (11 de fevereiro de 1999): 512–17. http://dx.doi.org/10.1115/1.1387248.
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 fonteAdegboye, B. A. "Power Quality Assessment in a Distribution Network". Advanced Materials Research 62-64 (fevereiro de 2009): 53–59. http://dx.doi.org/10.4028/www.scientific.net/amr.62-64.53.
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 fonteSun, Zhiqing, Yi Xuan, ZikaiCao, Jian Liu, Tiechao Dai, Weihao Liu, Gangjin Ye et al. "Transformer parameter estimation in distribution network based on deformable transformer". Journal of Physics: Conference Series 2758, n.º 1 (1 de abril de 2024): 012006. http://dx.doi.org/10.1088/1742-6596/2758/1/012006.
Texto completo da fonteAl-Yahya, Maha, Hend Al-Khalifa, Heyam Al-Baity, Duaa AlSaeed e Amr Essam. "Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches". Complexity 2021 (16 de abril de 2021): 1–10. http://dx.doi.org/10.1155/2021/5516945.
Texto completo da fonteKirui, Kemei Peter, David K. Murage e Peter K. Kihato. "Impacts of Placement of Wind Turbine Generators on IEEE 13 Node Radial Test Feeder In-Line Transformer Fuse-Fuse Protection Coordination". European Journal of Engineering Research and Science 5, n.º 6 (7 de junho de 2020): 665–74. http://dx.doi.org/10.24018/ejers.2020.5.6.1939.
Texto completo da fonteKirui, Kemei Peter, David K. Murage e Peter K. Kihato. "Impacts of Placement of Wind Turbine Generators on IEEE 13 Node Radial Test Feeder In-Line Transformer Fuse-Fuse Protection Coordination". European Journal of Engineering and Technology Research 5, n.º 6 (7 de junho de 2020): 665–74. http://dx.doi.org/10.24018/ejeng.2020.5.6.1939.
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 fonteVasilevskij, V. V., e M. O. Poliakov. "Reproducing of the humidity curve of power transformers oil using adaptive neuro-fuzzy systems". Electrical Engineering & Electromechanics, n.º 1 (23 de fevereiro de 2021): 10–14. http://dx.doi.org/10.20998/2074-272x.2021.1.02.
Texto completo da fonteLynch, A. C. "Blumlein's transformer-bridge network". Engineering Science and Education Journal 2, n.º 3 (1993): 117. http://dx.doi.org/10.1049/esej:19930037.
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 fonteAzizian, Davood, e Mehdi Bigdeli. "A new cast-resin transformer thermal model based on recurrent neural networks". Archives of Electrical Engineering 66, n.º 1 (1 de março de 2017): 17–28. http://dx.doi.org/10.1515/aee-2017-0002.
Texto completo da fonteZhao, Guanghui, Zelin Wang, Yixiong Huang, Huirong Zhang e Xiaojing Ma. "Transformer-Based Maneuvering Target Tracking". Sensors 22, n.º 21 (4 de novembro de 2022): 8482. http://dx.doi.org/10.3390/s22218482.
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 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 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 fonteNafisi, Hamed, Mehrdad Abedi e Gevorg B. Gharehpetian. "Locating Pd in Transformers through Detailed Model and Neural Networks". Journal of Electrical Engineering 65, n.º 2 (1 de março de 2014): 75–82. http://dx.doi.org/10.2478/jee-2014-0011.
Texto completo da fonteAbdullah, A. M., R. Ali, S. B. Yaacob, K. Ananda-Rao e N. A. Uloom. "Transformer Health Index by Prediction Artificial Neural Networks Diagnostic Techniques". Journal of Physics: Conference Series 2312, n.º 1 (1 de agosto de 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2312/1/012002.
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 fonteZheng, Jianhan, Shengqing Gui e Haomin Zhang. "Transformer Vibration Analysis Based on Double Branch Convolutional Neural Network". Journal of Physics: Conference Series 2503, n.º 1 (1 de maio de 2023): 012092. http://dx.doi.org/10.1088/1742-6596/2503/1/012092.
Texto completo da fonteLin, Jun, Lei Su, Yingjie Yan, Gehao Sheng, Da Xie e Xiuchen Jiang. "Prediction Method for Power Transformer Running State Based on LSTM_DBN Network". Energies 11, n.º 7 (19 de julho de 2018): 1880. http://dx.doi.org/10.3390/en11071880.
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 fonteLin, Yubin, Jiyu Li, Xiaofei Ruan, Xiaoyu Huang e Jinbo Zhang. "Energy consumption analysis of power grid distribution transformers based on an improved genetic algorithm". PeerJ Computer Science 9 (26 de outubro de 2023): e1632. http://dx.doi.org/10.7717/peerj-cs.1632.
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 fonteBernadić, Alen, e Zahira Anane. "NEUTRAL POINT CONNECTIONS IN MV POWER NETWORKS WITH GROUNDING ZIGZAG TRANSFORMERS – ANALYSIS AND SIMULATIONS". Journal of Energy - Energija 68, n.º 1 (30 de abril de 2019): 42–48. http://dx.doi.org/10.37798/20196812.
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 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 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 fonteHartono, Muharni, Adipura, Martiningsih, Otong e Muhammad Irvan. "ANALYSIS OF POWER TRANSFORMATOR CONDITIONS USING DGA METHOD USING ARTIFICIAL NEURAL NETWORK IN KRAKATAU ELECTRICAL POWER COMPANY". International Journal of Engineering Technologies and Management Research 7, n.º 6 (16 de junho de 2020): 77–88. http://dx.doi.org/10.29121/ijetmr.v7.i6.2020.572.
Texto completo da fonteWang, Jianbin, Lei Shen e Weiming Fan. "A TSENet Model for Predicting Cellular Network Traffic". Sensors 24, n.º 6 (7 de março de 2024): 1713. http://dx.doi.org/10.3390/s24061713.
Texto completo da fonteAlibašić, Emir, Predrag Marić e Srete N. Nikolovski. "Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network". International Journal of Electrical and Computer Engineering (IJECE) 6, n.º 6 (1 de dezembro de 2016): 2499. http://dx.doi.org/10.11591/ijece.v6i6.11406.
Texto completo da fonteAlibašić, Emir, Predrag Marić e Srete N. Nikolovski. "Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network". International Journal of Electrical and Computer Engineering (IJECE) 6, n.º 6 (1 de dezembro de 2016): 2499. http://dx.doi.org/10.11591/ijece.v6i6.pp2499-2505.
Texto completo da fonteAstashev, Mikhail G., Artem S. Vanin, Vladimir M. Korolev, Dmitriy I. Panfilov, Pavel A. Rashitov e Vladimir N. Tulskii. "Assessment of the Technical and Economic Effect from Using Automatic Voltage Control Devices on 10/0.4 kV Transformers in Power Distribution Networks". Vestnik MEI, n.º 5 (2021): 27–36. http://dx.doi.org/10.24160/1993-6982-2021-5-27-36.
Texto completo da fonteXu, Xiangkai, Zhejun Feng, Changqing Cao, Mengyuan Li, Jin Wu, Zengyan Wu, Yajie Shang e Shubing Ye. "An Improved Swin Transformer-Based Model for Remote Sensing Object Detection and Instance Segmentation". Remote Sensing 13, n.º 23 (25 de novembro de 2021): 4779. http://dx.doi.org/10.3390/rs13234779.
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 fonteLi, Qingbiao, Chunhua Wu, Zhe Wang e Kangfeng Zheng. "Hierarchical Transformer Network for Utterance-Level Emotion Recognition". Applied Sciences 10, n.º 13 (28 de junho de 2020): 4447. http://dx.doi.org/10.3390/app10134447.
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 fonteWang, Cheng, Zhixin Fu, Zheng Zhang, Weiping Wang, Huatai Chen e Da Xu. "Fault Diagnosis of Power Transformer in One-Key Sequential Control System of Intelligent Substation Based on a Transformer Neural Network Model". Processes 12, n.º 4 (19 de abril de 2024): 824. http://dx.doi.org/10.3390/pr12040824.
Texto completo da fonteRavikumar, V., S. Ranjith e T. Bhavyasree. "Automatic Load Sharing of Distribution Transformers to Reduce Over all Losses in Distribution network". E3S Web of Conferences 309 (2021): 01126. http://dx.doi.org/10.1051/e3sconf/202130901126.
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 fonteLei, Tianliang, Lixin Ji, Gengrun Wang, Shuxin Liu, Lan Wu e Fei Pan. "Transformer-Based User Alignment Model across Social Networks". Electronics 12, n.º 7 (3 de abril de 2023): 1686. http://dx.doi.org/10.3390/electronics12071686.
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 fonteDong, P., e L. Xing. "Transformer Network Assisted VMAT Optimization". International Journal of Radiation Oncology*Biology*Physics 114, n.º 3 (novembro de 2022): e577. http://dx.doi.org/10.1016/j.ijrobp.2022.07.2242.
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 fonteKim, June-Woo, e Ho-Young Jung. "Voice-to-voice conversion using transformer network*". Phonetics and Speech Sciences 12, n.º 3 (setembro de 2020): 55–63. http://dx.doi.org/10.13064/ksss.2020.12.3.055.
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