Mexican axolotl optimization algorithm with a recalling enhanced recurrent neural network for modular multilevel inverter fed photovoltaic system by R. Madavan, B. Karthikeyan, R. Palanisamy, Mohammad Imtiyaz Gulbarga, Mohammed Al Awadh, Liew Tze Hui

Subjects: “…Recalling-Enhanced Recurrent Neural Network (RERNN)…”
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Machine learning-driven generation and screening of potential ionic liquids for cellulose dissolution by Mengyang Qu, Gyanendra Sharma, Naoki Wada, Hisaki Ikebata, Shigeyuki Matsunami, Kenji Takahashi

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Improved Clamped Z-Source Converter with Optimized Maximum Power Point Tracker for Hybrid Renewable Energy Systems Based Energy Management System by Saranya M., Giftson S. G.

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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

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Polar code construction by estimating noise using bald hawk optimized recurrent neural network model by Sunil Yadav Kshirsagar, Venkatrajam Marka

Subjects: “…Recurrent neural network (RNN)…”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

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Deep multimodal representations and classification of first-episode psychosis via live face processing by Rahul Singh, Rahul Singh, Rahul Singh, Yanlei Zhang, Dhananjay Bhaskar, Dhananjay Bhaskar, Vinod Srihari, Cenk Tek, Xian Zhang, Xian Zhang, J. Adam Noah, J. Adam Noah, Smita Krishnaswamy, Smita Krishnaswamy, Smita Krishnaswamy, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch, Joy Hirsch

Subjects: “…RNN - recurrent neural network…”
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Enhanced framework embedded with data transformation and multi-objective feature selection algorithm for forecasting wind power by Yahya Z. Alharthi, Haruna Chiroma, Lubna A. Gabralla

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Real-Time Fire Risk Classification Using Sensor Data and Digital-Twin-Enabled Deep Learning by In-Seop Na, Vani Rajasekar, Velliangiri Sarveshwaran

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A green hydrogen production model from solar powered water electrolyze based on deep chaotic Lévy gazelle optimization by Heba Askr, Mahmoud Abdel-Salam, Václav Snášel, Aboul Ella Hassanien

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First-Arrival Constrained Physics-Informed Recurrent Neural Networks for Initial Model-Insensitive Full Waveform Inversion in Vertical Seismic Profiling by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

Subjects: “…physics-informed recurrent neural network…”
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Recurrent neural network based turbo decoding algorithms for different code rates by Shridhar B. Devamane, Rajeshwari L. Itagi

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G-TS-HRNN: Gaussian Takagi–Sugeno Hopfield Recurrent Neural Network by Omar Bahou, Mohammed Roudani, Karim El Moutaouakil

Subjects: “…Hopfield recurrent neural network (HRNN)…”
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A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy by R. Sudharsan, E. N. Ganesh

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AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data by Julian Ruggaber, Daniel Pölzleitner, Jonathan Brembeck

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Solar Agro Savior: Smart Agricultural Monitoring Using Drones and Deep Learning Techniques by Manu Mundappat Ramachandran, Bisni Fahad Mon, Mohammad Hayajneh, Najah Abu Ali, Elarbi Badidi

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IoT-driven smart grid monitoring with enhanced energy routing and advanced encryption techniques by K. Perachi, S. Balaji

Subjects: “…Harmonic Search Optimized Recurrent Neural Network…”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

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Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

Subjects: “…dual-physics-informed recurrent neural network (PIRNN)…”
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Faulty Links’ Fast Recovery Method Based on Deep Reinforcement Learning by Wanwei Huang, Wenqiang Gui, Yingying Li, Qingsong Lv, Jia Zhang, Xi He

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