Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

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Deciphering Membrane Proteins Through Deep Learning Models by Revealing Their Locale Within the Cell by Mehwish Faiz, Saad Jawaid Khan, Fahad Azim, Nazia Ejaz, Fahad Shamim

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Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

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Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset by Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md. Abdelrahim, Ali I. Siam

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Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation by Jonindo Pasaribu, Novanto Yudistira, Wayan Firdaus Mahmudy

Subjects: “…Deep learning models…”
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Editorial: Advances in computer vision: from deep learning models to practical applications by Hancheng Zhu, Rui Yao, Lu Tang

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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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MSKd_Net: Multi-Head Attention-Based Swin Transformer for Kidney Diseases Classification by H. Sharen, Modigari Narendra, L. Jani Anbarasi

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Method for Preprocessing Video Data for Training Deep-Learning Models for Identifying Behavioral Events in Bio-Objects by Marina Barulina, Alexander Andreev, Ilya Kovalenko, Ilya Barmin, Eduard Titov, Danil Kirillov

Subjects: “…deep-learning models…”
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YogiCombineDeep: Enhanced Yogic Posture Classification Using Combined Deep Fusion of VGG16 and VGG19 Features by Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman

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Enhancing deep learning for pneumonia detection: developing web based solution for Dr. Sumait Hospital in Mogadishu Somalia by Abdulaziz Yasin Nageye, Abdukadir Dahir Jimale, Mohamed Omar Abdullahi, Yahye Abukar Ahmed, Mohamed Abdirahman Addow

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Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers by Maryam Hedayatnejad, Yinqing Pei, David Boertjes, Dacian Demeter, Christian Desrosiers, Christine Tremblay

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Energy-efficient deep learning-based intrusion detection system for edge computing: a novel DNN-KDQ model by Hafiz Gulfam Ahmad Umar, Iqra Yasmeen, Muhammad Aoun, Tehseen Mazhar, Muhammad Amir Khan, Ines Hilali Jaghdam, Habib Hamam

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Forecasting Tunnel-Induced Ground Settlement: A Hybrid Deep Learning Approach and Traditional Statistical Techniques With Sensor Data by Syed Mujtaba Hussaine, Linlong Mu, Yimin Lu, Syed Sajid Hussain

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A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions by Raman Kumar, Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanović

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Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning models into the laboratory information system by Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo, Francesco Merolla, Arndt Hartmann, Fulvia Ferrazzi, Filippo Fraggetta

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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

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Compressing Neural Networks on Limited Computing Resources by Seunghyun Lee, Dongjun Lee, Minju Hyun, Heeje Kim, Byung Cheol Song

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A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring by Haoyuan Zhang, Shanglei Jiang, Defeng Gao, Yuwen Sun, Wenxiang Bai

Subjects: “…machine learning/deep learning models…”
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