Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy

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Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes

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GIS-based machine learning models for assessing landslide impact in King County, Washington, USA

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Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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An Efficient Ensemble Learning Model Integrating Multi‐Branch Sub‐Networks for Facial Expression Recognition

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Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning

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DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index

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Implementation of Q learning and deep Q network for controlling a self balancing robot model

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Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation

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A COMPREHENSIVE BENCHMARK OF LINEAR AND ENSEMBLE MACHINE LEARNING MODELS FOR GLOBAL CO₂ EMISSION FORECASTING

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In search of the latent structure of an e-learning practitioner construct

Subjects: “…E-learning practitioner…”
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Multi-Parameter Optimization of Brine Desalination Using Machine Learning by Seif, Elaf MMAN

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Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas

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Toward explainable precision oncology: SHAP-guided cox survival modeling from population-level prediction to patient-specific explanation in NSCLC

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