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A Distributionally Robust Scheduling Approach for Uncertain Steelmaking and Continuous Casting Processes

A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction

A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic

A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles

A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method

Beyond migration: a critical review of climate change induced displacement

Body fat prediction through feature extraction based on anthropometric and laboratory measurements

Evolution of trust in the sharing economy with fixed provider and consumer roles under different host network structures

Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling with Dynamic Reference Point-Based Fuzzy Relative Entropy

A textual-based featuring approach for depression detection using machine learning classifiers and social media texts

An evolutionary game model for understanding fraud in consumption taxes

An Innovative framework to improve course and student outcomes

Combining Sentiment Lexicons and Content-Based Features for Depression Detection

Deep sequence modelling for Alzheimer's disease detection using MRI

Dilemma of introducing a green product: Impacts of cost learning and environmental regulation

Early Detection of Under-Performing Students Using Machine Learning Algorithms

Energy-efficient production scheduling through machine on/off control during preventive maintenance

Group and period-based representations for improved machine learning prediction of heterogeneous alloy catalysts

Is carbon regulation better than cash subsidy? The case of new energy vehicles

Low-Cost Pt Alloys for Heterogeneous Catalysis Predicted by Density Functional Theory and Active Learning

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