A Role of Financial Inclusion and Women Empowerment

Financial Inclusion is more than access to banking—it’s the foundation for economic freedom, mainly for women. Across many regions, women continue to face significant obstacles in accessing formal financial services. Deep-rooted cultural norms often discourage women from managing their own finances independently, while the absence of legal documentation—such as identification cards or birth certificates—limits their…

A PROFOUND ANALYSIS OF IOT TECHNOLOGY IN AGRICULTURE SECTOR

Abstract Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmer’s income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT.

A Conceptual study on Self-Regulated Learning Strategies to Promote lifelong learning in Studies

The concept of self-regulated learning is an important factor for effective learning and academic achievement. It is an essential quality of academic self-regulation. Self-regulated learning is a process to enhance the mental abilities in to academic skills. Such a learning is a series of activities that students influentially practice for themselves. Self-regulated learning can be…

A Review of Data Mining Techniques for Enhancing Energy Efficiency in IoT Systems

The rapid proliferation of Internet of Things (IoT) technologies has led to an unprecedented surge in data generation and energy consumption, raising concerns about sustainability and operational efficiency. This review explores the role of data mining techniques in enhancing energy efficiency across various IoT applications. By analyzing and classifying key data mining methods such as…

A REVIEW OF DATA MINING TECHNIQUES FOR ENHANCING ENERGY EFFICIENCY IN IOT SYSTEMS

The rapid proliferation of Internet of Things (IoT) technologies has led to an unprecedented surge in data generation and energy consumption, raising concerns about sustainability and operational efficiency. This review explores the role of data mining techniques in enhancing energy efficiency across various IoT applications. By analyzing and classifying key data mining methods such as…

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…