Neuro-Evo Swarm Optimizer (NESO): A Hybrid Framework Combining Deep Learning, Genetic Algorithms, and Particle Swarm Optimization for Multi cropping Optimization
Sustainable agricultural productivity requires intelligent decision-making systems capable of handling complex interactions among crops, resources, and environmental conditions. Multi cropping systems, though beneficial for yield stability and risk reduction, present significant optimization challenges due…
Neuro-EvoSwarm Optimizer: A hybrid deep learning, genetic algorithm and particle swarm optimization model for multicropping strategy optimization across irrigation sytems
Multicropping has emerged as an effective strategy to enhance agricultural productivity, improve land-use efficiency, and reduce risks associated with climate variability. However, identifying optimal crop combinations and irrigation strategies is a complex optimization problem…
Intelligent Optimization of Multicropping Strategies Across Irrigation Systems using Genetic Algorithm, Deep Learning, and Particle Swarm Optimization
Agriculture plays a crucial role in ensuring food security and sustainable economic development. However, increasing population growth, limited water resources, climate variability, and inefficient crop planning practices present significant challenges to agricultural productivity. Multicropping…
A Novel Collaborative Edge-Computing Framework for Intelligent Resource Management in IoT-Enabled Smart Cities
The rapid proliferation of Internet of Things (IoT) devices in smart cities has generated unprecedented volumes of heterogeneous data requiring real-time processing, low latency, and efficient resource utilization. Traditional cloud-centric architectures often suffer from…
A Novel Collaborative Edge-Computing Framework for Intelligent Resource Management in IoT-Enabled Smart Cities
The rapid proliferation of Internet of Things (IoT) devices in smart cities has generated unprecedented volumes of heterogeneous data requiring real-time processing, low latency, and efficient resource utilization. Traditional cloud-centric architectures often suffer from…
Analyzing the Effect of Emotional Intelligence Among College Students on Academic Achievements Using Xgboost Algorithm
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…
The Role of Emotional Intelligence in Enhancing Professional and Personal Success: Bridging Competence and Compassion
Emotional Intelligence plays a pivotal role in fostering both personal and professional success by bridging competence and compassion. This paper explores how EI, which encompasses self-awareness, self-regulation, motivation, empathy, and social skills, empowers individuals…
Exploring the Synergy of Cognitive and Emotional Intelligence in Enhancing Student Learning
This study explores the intersection of cognitive and emotional intelligence and its impact on student learning outcomes. Cognitive intelligence, encompassing analytical and problem-solving skills, forms the foundation of academic success, while emotional intelligence, including…
Intelligent Optimization of Multicropping Strategies Across Irrigation Types Using Genetic Algorithms, Deep Learning, and Particle Swarm Optimization
Agriculture plays a central role in food security and rural livelihoods, yet traditional monocropping and intuition-based decision-making often lead to low productivity and inefficient resource use. Multicropping improves soil fertility, income diversification, and sustainability,…
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