A comparative study of statistical and intelligent classification models for predicting airlines passenger management satisfaction by Mohammed Alharithi, Ehab M. Almetwally, Omar Alotaibi, Marwa M. Eid, El-Sayed M. El-kenawy, Alaa A. Elnazer

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Comparative Analysis of Modern Sociological Research Methods of Crises of the Physical Environment: Natural, Biological and Technological by E. A. Gryzunova

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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

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Civilizational transition in the focus of interdisciplinary methodology. Review on the book: Vasilenko L.A. and Meshcheryakova N.N. (2021) Sociology of Digital Society: monograph,... by V. I. Ignatyev

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Application of artificial intelligence brain structure-based paradigm to predict the slip condition impact on magnetized thermal Casson viscoplastic fluid model under combined temp... by Umar Farooq, Shan Ali Khan, Haihu Liu, Muhammad Imran, Lotfi Ben Said, Aleena Ramzan, Taseer Muhammad

Subjects: “…Artificial neural network…”
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Application of Additive Manufacturing and Deep Learning in Exercise State Discrimination by Zhilong Zhao, Jiaxi Yang, Jiahao Liu, Shijie Soong, Yiming Wang, Juan Zhang

Subjects: “…long short-term memory (LSTM) neural network…”
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Digital Twin Framework Using Real-Time Asset Tracking for Smart Flexible Manufacturing System by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

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Synergy of Remote Sensing and Geospatial Technologies to Advance Sustainable Development Goals for Future Coastal Urbanization and Environmental Challenges in a Riverine Megacity by Minza Mumtaz, Syed Humayoun Jahanzaib, Waqar Hussain, Sadia Khan, Youssef M. Youssef, Saleh Qaysi, Abdalla Abdelnabi, Nassir Alarifi, Mahmoud E. Abd-Elmaboud

Subjects: “…cellular automata–artificial neural networks…”
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MFBTFF-Net: A Novel Multi-Frequency Brightness Temperature Feature Fusion Network for Global Lunar Surface Oxides Abundance Estimation With Chang'e-2 Lunar Microwave Sounder... by Yu Li, Zifeng Yuan, Sarah Mazhar, Zhiguo Meng, Yuanzhi Zhang, Jinsong Ping, Ferdinando Nunziata

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Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics by Hang Shuai, Fangxing Li

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Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data by A-Hyeon Jo, Keun-Chang Kwak

Subjects: “…pretrained convolutional neural networks…”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

Subjects: “…Convolutional neural networks…”
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SqueezeMaskNet: Real-Time Mask-Wearing Recognition for Edge Devices by Gibran Benitez-Garcia, Lidia Prudente-Tixteco, Jesus Olivares-Mercado, Hiroki Takahashi

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An optimized LSTM-based equalizer for 100 Gigabit/s-class short-range fiber-optic communications by Vuong Quang Phuoc, Nguyen Van Dien, Ho Duc Tam Linh, Nguyen Van Tuan, Nguyen Van Hieu, Le Thai Son, Nguyen Tan Hung

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Sentiment analysis of movie reviews: A flask application using CNN with RoBERTa embeddings by Biplov Paneru, Bipul Thapa, Bishwash Paneru

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

Subjects: “…artificial neural networks…”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

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A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships by Babak Amiri, Amirali Haddadi, Kosar Farajpour Mojdehi

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Dynamic Connectivity Hub: Multiple ISPs Smart Aggregation for Optimized IoT Connectivity by Hany Ali, Mohamed A. Abouelatta, Khaled Y. Youssef

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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

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