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Members of the Power & Energy Society are leaders in this field, and they — and their employers — derive substantial benefits from involvement with this unique and outstanding association.\u003C/span>\u003C/p>","2025-06-09T18:55:44.049Z","2025-06-09T18:55:53.457Z","2025-06-09T18:55:53.451Z","768",{"id":1104,"name":1105,"alternativeText":16,"caption":16,"width":1106,"height":1107,"formats":1108,"hash":1115,"ext":1029,"mime":1032,"size":1116,"url":1117,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1118,"updatedAt":1118},215,"PES.jpg",357,248,{"thumbnail":1109},{"ext":1029,"url":1110,"hash":1111,"mime":1032,"name":1112,"path":16,"size":1113,"width":1114,"height":1047},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn25/thumbnail_PES_3653cd5618.jpg","thumbnail_PES_3653cd5618","thumbnail_PES.jpg",10.08,225,"PES_3653cd5618",21.69,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/ijcnn25/PES_3653cd5618.jpg","2025-06-09T18:54:57.178Z",{"id":1120,"variation":46,"button":1121},54,[1122],{"id":1123,"label":859,"size":50,"color":51,"style":16,"icon":860,"iconPosition":52,"url":1124,"newWindow":8,"downloadable":8,"shape":16},57,"https://ieee-pes.org/","-551",{"pagination":1127},{"page":5,"pageSize":641,"pageCount":5,"total":292},{"id":117,"heading":112,"pageHeader":1129,"sections":1130},{"id":135,"description":16,"showPageHeader":8,"backgroundColor":68,"image":16},[1131],{"id":59,"__component":1132,"componentVariation":1133,"styles":1134,"header":16,"disclosures":1136},"content.disclosure","Disclosure Base",{"id":533,"edgeTop":67,"edgeBottom":67,"background":1135,"containerWidth":16},"transparent",[1137,1140,1143,1146,1149],{"id":214,"heading":1138,"prose":1139},"Neural Network Models","\u003Cul>\u003Cli>Feedforward neural networks\u003C/li>\u003Cli>Recurrent neural networks\u003C/li>\u003Cli>Convolutional neural networks\u003C/li>\u003Cli>Large-scale neural networks\u003C/li>\u003Cli>Modular neural networks\u003C/li>\u003Cli>Graph neural networks\u003C/li>\u003Cli>Transformers and attention-based networks\u003C/li>\u003Cli>Generative models\u003C/li>\u003Cli>LLM-based networks\u003C/li>\u003Cli>Multimodal neural networks\u003C/li>\u003Cli>Mixture of experts\u003C/li>\u003Cli>Reservoir and echo-state networks\u003C/li>\u003Cli>State-space neural models\u003C/li>\u003Cli>Dynamic neural networks\u003C/li>\u003Cli>Spiking neural networks\u003C/li>\u003Cli>Self-organizing maps\u003C/li>\u003Cli>Radial basis function networks\u003C/li>\u003Cli>Associative memory and attractor networks\u003C/li>\u003Cli>Efficient and tiny neural networks\u003C/li>\u003Cli>Quantum neural networks\u003C/li>\u003Cli>Other neural network models\u003C/li>\u003C/ul>",{"id":66,"heading":1141,"prose":1142},"Machine Learning","\u003Cul>\u003Cli>Supervised learning\u003C/li>\u003Cli>Unsupervised learning and clustering\u003C/li>\u003Cli>Self-supervised learning\u003C/li>\u003Cli>Reinforcement learning\u003C/li>\u003Cli>Information-theoretic learning\u003C/li>\u003Cli>Support vector machines and kernel methods\u003C/li>\u003Cli>Bayesian learning and probabilistic models\u003C/li>\u003Cli>Causal machine learning\u003C/li>\u003Cli>Continual learning\u003C/li>\u003Cli>Feature selection and extraction\u003C/li>\u003Cli>Data analytics and visualization\u003C/li>\u003Cli>Optimization algorithms for neural networks\u003C/li>\u003Cli>Deep learning theory\u003C/li>\u003Cli>Topological deep learning\u003C/li>\u003Cli>Interpretable and explainable AI\u003C/li>\u003Cli>Sustainable AI\u003C/li>\u003Cli>Trustworthy and reliable machine learning\u003C/li>\u003Cli>Other topics in machine learning\u003C/li>\u003C/ul>",{"id":312,"heading":1144,"prose":1145},"Computational Neurosciences","\u003Cul>\u003Cli>Nervous system modeling\u003C/li>\u003Cli>Brain-inspired models\u003C/li>\u003Cli>Brain-machine interfaces\u003C/li>\u003Cli>Brain imaging\u003C/li>\u003Cli>Cognitive models\u003C/li>\u003Cli>Neurophysiological data analysis\u003C/li>\u003Cli>Neuroengineering\u003C/li>\u003Cli>Neuromorphic systems\u003C/li>\u003Cli>Neurosymbolic AI\u003C/li>\u003Cli>Knowledge representation and reasoning\u003C/li>\u003Cli>Collective and swarm intelligence\u003C/li>\u003Cli>Other topics in computational neuroscience\u003C/li>\u003C/ul>",{"id":514,"heading":1147,"prose":1148},"Cross-Disciplinary topics","\u003Cul>\u003Cli>Mathematics of neural networks\u003C/li>\u003Cli>Complex system modeling\u003C/li>\u003Cli>Physics-informed neural networks\u003C/li>\u003Cli>Neural networks for scientific discovery\u003C/li>\u003Cli>Materials modeling and design\u003C/li>\u003Cli>Computational biology\u003C/li>\u003Cli>Molecular and DNA computation\u003C/li>\u003Cli>Computation in tissues and cells\u003C/li>\u003Cli>Artificial immune systems\u003C/li>\u003Cli>Climate sciences\u003C/li>\u003Cli>AI ethics and regulation\u003C/li>\u003Cli>AI for education\u003C/li>\u003Cli>Other cross-disciplinary topics\u003C/li>\u003C/ul>",{"id":226,"heading":1150,"prose":1151},"Applications of Neural Networks","\u003Cul>\u003Cli>Bioinformatics\u003C/li>\u003Cli>Biomedical engineering\u003C/li>\u003Cli>Healthcare and life sciences\u003C/li>\u003Cli>Audio analysis and synthesis\u003C/li>\u003Cli>Speech enhancement and recognition\u003C/li>\u003Cli>Image and video processing\u003C/li>\u003Cli>Neural models for computer graphics\u003C/li>\u003Cli>Time series analysis\u003C/li>\u003Cli>Neural networks for communications\u003C/li>\u003Cli>Robotics\u003C/li>\u003Cli>Manufacturing and industrial applications\u003C/li>\u003Cli>AI for critical infrastructures\u003C/li>\u003Cli>Power system applications\u003C/li>\u003Cli>Smart grid applications\u003C/li>\u003Cli>Digital twins\u003C/li>\u003Cli>Autonomous vehicles and intelligent transportation\u003C/li>\u003Cli>Financial engineering applications\u003C/li>\u003Cli>Privacy and security\u003C/li>\u003Cli>Social media networks\u003C/li>\u003Cli>Other applications\u003C/li>\u003C/ul>",{"data":1153,"meta":1154},{"id":117,"heading":112,"createdAt":118,"updatedAt":119,"publishedAt":16,"url_path_id":120,"url_path":113,"contentType":101},{},1778852703868]