Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

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Deep Learning Approaches for Malware Detection: A Comprehensive Review of Techniques, Challenges, and Future Directions by Mohammad Alshoulie, Abid Mehmood

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Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM) by O. F. Mashoshin, H. Huseynov, A. S. Zasukhin

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Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks by Sergey V. Morzhov

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Deep learning and wavelet packet transform for fault diagnosis in double circuit transmission lines by Ziad M. Ali, Ehab M. Esmail

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Novel Recurrent neural networks for efficient heat transfer analysis in radiative moving porous triangular fin with heat generation by Sana Ullah Saqib, Umar Farooq, Nahid Fatima, Yin-Tzer Shih, Ahmed Mir, Lioua Kolsi

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Design and performance evaluation of multilevel inverter for solar energy systems and electric vehicle charging with multi output active clamp forward converter by Adupa Chandramouli, Siva Chidambaranathan V.

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A New Custom Deep Learning Model Coupled with a Flood Index for Multi-Step-Ahead Flood Forecasting by Jianming Shen, Moyuan Yang, Juan Zhang, Nan Chen, Binghua Li

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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

Subjects: “…: : human interaction, gated recurrent unit (gru), electroencephalogram (eeg), recurrent neural networks (rnn) , emotion identification, long short-term memory (lstm) , particle swarm optimization (pso).…”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

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