Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models by Junchen Pan, Zhen Yue, Jing Ji, Yongping You, Liqing Bi, Yun Liu, Xinglin Xiong, Genying Gu, Ming Chen, Shen Zhang

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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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A Comparative Study of Machine Learning Models for Short-Term Load Forecasting by Etna Vianita, Henri Tantyoko

Subjects: “…short-term load forecasting, machine learning models, lag features, electricity demand prediction, model evaluation…”
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Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches by Yousef Altork

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Digital transformation of care for keratoconus patients: ML modeling structural outcomes of corneal collagen cross-linking by Yauhen Statsenko, Yauhen Statsenko, Yauhen Statsenko, Darya Smetanina, Roman Voitetskii, Gillian Lylian Simiyu, Mikalai Pazniak, Elena Likhorad, Aleh Pazniak, Pavel Beliakouski, Dmitri Abelski, Fatima Ismail, Klaus Neidl-Van Gorkom, Milos Ljubisavljevic, Milos Ljubisavljevic

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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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Hybrid models of higher education: Features and advantages by Elena Y. Kuznetsova, Olga V. Korableva

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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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Monitoring Critical Health Conditions in the Elderly: A Deep Learning-Based Abnormal Vital Sign Detection Model by Murad A. Rassam, Amal A. Al-Shargabi

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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

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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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A hybrid time series forecasting approach integrating fuzzy clustering and machine learning for enhanced power consumption prediction by Khalaf Alsalem

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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients by Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang

Subjects: “…machine learning models…”
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Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures by Joseph F. Hair, Luiz Paulo Fávero, Wilson Tarantin Junior, Alexandre Duarte

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Modeling spatial distributions of Amah Mutsun priority cultural plants to support Indigenous cultural revitalization by Annalise Taylor, Alexii Sigona, Maggi Kelly

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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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Geographical Types and Driving Mechanisms of Rural Population Aging–Weakening in the Yellow River Basin by Zhanhui Fu, Yahan Yang, Shuju Hu

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Exergy efficiency optimization of a water-based titanium dioxide nanofluid hybrid solar collector using advanced machine learning models by Poyyamozhi Natesan, M.P. Rajakumar, Sreevidya R C, Srimanickam B, Suresh Vellaiyan, Nguyen Van Minh

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