EVALUATING THE IMPACT OF EMOTIONAL INTELLIGENCE ON ACADEMIC PERFORMANCE AMONG COLLEGE STUDENTS USING XGBOOST

Emotional intelligence (EI) has been increasingly recognized as a critical factor influencing academic success among college students. This study investigates the impact of EI components—self-awareness, self regulation, motivation, empathy, and social skills—on academic achievements using the XGBoost algorithm, a powerful machine learning technique known for its high predictive accuracy. The primary objective of this work…

SURVEY OF INTELLIGENT OPTIMIZATION OF MULTICROPPING STRATEGIES ACROSS IRRIGATION TYPES USING GENETIC ALGORITHMS, DEEP LEARNING, AND PARTICLE SWARM OPTIMIZATION

This research focuses on the intelligent optimization of multicropping strategies across various irrigation systems using advanced Artificial Intelligence (AI) techniques. In regions with diverse climatic and soil conditions, selecting the optimal crop combination is critical to maximize yield, resource efficiency, and sustainability. The study employs Genetic Algorithms (GA), Deep Learning (DL), and Particle Swarm Optimization…