Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

Subjects: “…Machine Learning…”
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FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

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Neural network potentials for exploring condensed phase chemical reactivity by Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien

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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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Dynamic Interferometry for Freeform Surface Measurement Based on Machine Learning-Configured Deformable Mirror by Xu Chang, Yao Hu, Jintao Wang, Xiang Liu, Qun Hao

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A Data-Driven Methodology for Obtaining the Stress–Strain Curves of Metallic Materials Using Discrete Indentation Tests by Nitzan Rom, Elad Priel

Subjects: “…machine learning…”
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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

Subjects: “…Machine learning…”
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Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

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Automating Historical Source Transcription by Gunnar Thorvaldsen

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Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation by T Dzinamarira, E Mbunge, I Chingombe, D F Cuadros, E Moyo, I Chitungo, G Murewanhema, B Muchemwa, G Rwibasira, O Mugurungi, G Musuka, H Herrera

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

Subjects: “…Machine Learning…”
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Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion by Jorge A. Teruya Monroe, Jose J. S. de Figueiredo, Carlos E. S. Amanajas

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Zero-shot Learning for Subdiscrimination in Pre-trained Models by Francisco Dominguez-Mateos, Vincent O’Brien, James Garland, Ryan Furlong, Daniel Palacios-Alonso

Subjects: “…Machine learning…”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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A dataset of blood slide images for AI-based diagnosis of malariaDataverse by Rose Nakasi, Joyce Nakatumba Nabende, Jeremy Francis Tusubira, Aloyzius Lubowa Bamundaga, Alfred Andama

Subjects: “…Machine learning…”
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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

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