MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

Subjects: “…Machine learning techniques…”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

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Acute lymphoblastic leukemia diagnosis using machine learning techniques based on selected features by Enas M.F. El Houby

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A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning by Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao

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Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

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A state-of-the-art review of soft computing-based monitoring and control in the machining of hard alloys by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak, Abhijit Bhowmik

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Comparing Supervised Machine Learning Models for Covid-19 patient detection using a Combination of Clinical and Laboratory Dataset by Narges Mohebbi, Mehdi Tutunchian, Meysam Alavi, Mehrdad Kargari, Amir Behnam Kharazmy

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Exploring Components, Sensors, and Techniques for Cancer Detection via eNose Technology: A Systematic Review by Washington Ramírez, Verónica Pillajo, Eileen Ramírez, Ibeth Manzano, Doris Meza

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Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19 by Shiuh Tong Lim, Joe Yee Yuan, Khai Wah Khaw, XinYing Chew

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M5 Soft Computing Techniques for Assessment of Soil Liquefaction by Abu Sayed, Md Rahman

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Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour by Eva Kicova, Lucia Svabova, Olga Ponisciakova, Zuzana Rosnerova

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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) by Fazilat Fakhrzad, Warqaa Muhammed ShariffAl-Sheikh, Mohammed M. Mohammed, Heidar Meftahizadeh

Subjects: “…Machine learning techniques…”
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Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models by Rijvan Beg, R. K. Pateriya, Deepak Singh Tomar

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Exposing factors influencing Korean leisure life satisfaction through machine learning techniques by Yong-Kwan Lee, Boohyun Kim, Jinheum Kim

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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

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Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

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Forecasting Wind–Photovoltaic Energy Production and Income with Traditional and ML Techniques by Giovanni Masala, Amelie Schischke

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In Silico tool for predicting, designing and scanning IL-2 inducing peptides by Naman Kumar Mehta, Anjali Lathwal, Rajesh Kumar, Dilraj Kaur, Gajendra P. S. Raghava

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Analysing Virtual Labs Through Integrated Multi-Channel Eye-Tracking Technology: A Proposal for an Explanatory Fit Model by María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, Javier Sáez-García, Irene González-Díez

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Implications of machine learning techniques for prediction of motor health disorders in Saudi Arabia by Ehab M. Almetwally, I. Elbatal, Mohammed Elgarhy, Amr R. Kamel

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