Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…Abstract This article deals with prediction of buckling damage of steel equal angle structural members using a surrogate model combining machine learning and metaheuristic optimization technique. …”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of stunting among adolescent girls in Ethiopia.…”
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Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques by Nur Asyiqin Hamzah, Hadhrami Ab Ghanni, Azlan Abd Aziz, Nur Hasanah Ali, Noor Zielah Abd Rahman

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Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea Events by Kristina Zovko, Yann Sadowski, Toni Perković, Petar Šolić, Ivana Pavlinac Dodig, Renata Pecotić, Zoran Đogaš

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Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…The results show that machine learning models are a good alternative for analysing soil-related variables.…”
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Dust Storm Attenuation Prediction Using a Hybrid Machine Learning Model Based on Measurements in Sudan by Elfatih A. A. Elsheikh, E. I. Eltahir, Abdulkadir Tasdelen, Mosab Hamdan, Md Rafiqul Islam, Mohamed Hadi Habaebi, Aisha H. Abdullah Hashim

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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs by Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman

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Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders by Ziqin Yang, Ziqin Yang, Nicole A. Teaney, Nicole A. Teaney, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Mustafa Sahin, Mustafa Sahin, Mustafa Sahin, Wardiya Afshar-Saber, Wardiya Afshar-Saber

“…Recent progress in machine learning (ML) algorithms also presents unprecedented opportunities to advance the NDD research process. …”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

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Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi

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Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction by Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang

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Exploring the potential of artificial intelligence and machine learning for cancer diagnosis and treatment: Recent progress and looking ahead by Jeeva Jothi Kumaravel, Muthamizh Selvamani, Dilipan Elangovan, Balachandran Subramanian

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The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

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Evaluating waist-to-hip ratio in youth using frequency-modulated continuous wave radar and machine learning by Jun Byung Park, Jinjoo Choi, Jae Yoon Na, Seung Hyun Kim, Hyun-Kyung Park, Seung Yang, Sung Ho Cho

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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection by Kuan-Yu Chen, Yen-Chun Huang, Chih-Kuang Liu, Shao-Jung Li, Mingchih Chen

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Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study by Doris Yang, Doudou Zhou, Steven Cai, Ziming Gan, Michael Pencina, Paul Avillach, Tianxi Cai, Chuan Hong

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Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review by Andrés L. Suárez-Cetrulo, David Quintana, Alejandro Cervantes

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Analysis of damage control of thin plate with piezoelectric actuators using finite element and machine learning approach by Asraar Anjum, Abdul Aabid, Meftah Hrairi

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Machine learning prediction of combat basic training injury from 3D body shape images. by Steven Morse, Kevin Talty, Patrick Kuiper, Michael Scioletti, Steven B Heymsfield, Richard L Atkinson, Diana M Thomas

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