SAM-Net: Spatio-Temporal Sequence Typhoon Cloud Image Prediction Net with Self-Attention Memory by Yanzhao Ren, Jinyuan Ye, Xiaochuan Wang, Fengjin Xiao, Ruijun Liu

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Modern deep neural networks for Direct Normal Irradiance forecasting: A classification approach by Muhammad Saud Ul Hassan, Kashif Liaqat, Laura Schaefer, Alexander J. Zolan

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Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation by Lars E. Kruse, Sebastian Kuhl, Annika Dochhan, Stephan Pachnicke

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Advancing human activity recognition with quaternion-based recurrent neural networks by S. Gayathri Devi, Ratnala Venkata Siva Harish, N. Nalini, K. D. V. Prasad, N. Nagabhooshanam

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Comparison of artificial intelligence approaches for estimating wind energy production: A real-world case study by Mohamed Bousla, Mohamed Belfkir, Ali Haddi, Youness El Mourabit, Badre Bossoufi

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Deep learning in time series forecasting with transformer models and RNNs by Rogerio Pereira dos Santos, João P. Matos-Carvalho, Valderi R. Q. Leithardt

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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

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OPTICALS: A Novel Framework for Optimizing Predictive Trading Indicators in Cryptocurrency Using Advanced Learning Simulations by Hasib Shamshad, Fasee Ullah, Syed Adeel Ali Shah, Muhammad Faheem, Beena Shamshad

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Incremental Reinforcement Learning for Portfolio Optimisation by Refiloe Shabe, Andries Engelbrecht, Kian Anderson

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Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain by Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé, Francisco J. Jiménez-Hornero

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Enhancing PV feed-in power forecasting through federated learning with differential privacy using LSTM and GRU by Pascal Riedel, Kaouther Belkilani, Manfred Reichert, Gerd Heilscher, Reinhold von Schwerin

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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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An ensemble of modern computer vision models for deepfake detection by Aleksandr S. Pikul

Subjects: “…deepfake, computer vision, deep neural networks, ensembles, attention mechanism, recurrent neural networks, convolutional neural networks.…”
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Exploring a digital music teaching model integrated with recurrent neural networks under artificial intelligence by Yang Han

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Human activity recognition algorithms for manual material handling activities by Andreas Sochopoulos, Tommaso Poliero, Jamil Ahmad, Darwin G. Caldwell, Christian Di Natali

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Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks by Yongxu Zhang, Catalin Mitelut, David J. Arpin, David Vaillancourt, Timothy Murphy, Shreya Saxena

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Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization by Liu Tianzhao, He Jinzhi, Zhou Rong, Song Jun, Liu Hailong, Liang Yan

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Gated recurrent deep learning approaches to revolutionizing English language learning for personalized instruction and effective instruction by Bo Sun

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Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function by Bin Li, Tianyi Zheng, Reo Otsuki, Masato Sugino, Kenta Shimba, Kiyoshi Kotani

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