A game theory-assisted machine learning methodology for subscriber churn behaviors detection by Ye OUYANG, Aidong YANG, Fanyu MENG

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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

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A robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data by Jong Young Namgung, Eunchan Noh, Yurim Jang, Mi Ji Lee, Bo-yong Park

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Marigold: a machine learning-based web app for zebrafish pose tracking by Gregory Teicher, R. Madison Riffe, Wayne Barnaby, Gabrielle Martin, Benjamin E. Clayton, Josef G. Trapani, Gerald B. Downes

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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks by Reham Abdallah, Sayed Abdelgaber, Hanan Ali Sayed

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Exploring the role of Energy Communities: A Comprehensive Review by M. Asim Amin, Renato Procopio, Marco Invernizzi, Andrea Bonfiglio, Youwei Jia

Subjects: “…Machine learning…”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Real-time detection method of smoke based on Wi-Fi by Zhefu WU, Wanli TANG, Cheng CHEN, Luping FANG

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Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning by Zhang ZL, Chen KJ, Chen H, Zhu MM, Gu JJ, Jiang LS, Zheng L, Zhou SG

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Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospec... by Noriyuki Kimura, Kotaro Sasaki, Teruaki Masuda, Takuya Ataka, Mariko Matsumoto, Mika Kitamura, Yosuke Nakamura, Etsuro Matsubara

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Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection by Gauhar Ali, Sajid Shah, Mohammed ElAffendi

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Machine learning en anestesia. Avances de hoy para la anestesia del mañana by Agustín Núñez, Samer Tawfiq, Andrés Polit

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Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications by Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya

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A Global Perspective on Lunar Granular Flows by V. T. Bickel, S. Loew, J. Aaron, N. Goedhart

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Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review by Ida Mohammadi, Shahryar Rajai Firouzabadi, Melika Hosseinpour, Mohammadhosein Akhlaghpasand, Bardia Hajikarimloo, Sam Zeraatian-Nejad, Peyman Sardari Nia

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Geospatial Forecasting of Electric Energy in Distribution Systems Using Segmentation and Machine Learning with Convolutional Methods by Héctor Chávez, Yuri Molina

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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

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A Review of Research on Fault Diagnosis of Gear Transmission Devices Based on Acoustic Signals by Zhang Linhang, Wu Luji, Shi Lubing, Yang Linjie, Qin Jiayin

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Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models by Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh

Subjects: “…Machine learning…”
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