ROLE OF TRANSFER FUNCTIONS IN PSO TO SELECT DIAGNOSTIC ATTRIBUTES FOR CHRONIC DISEASE PREDICTION: AN EXPERIMENTAL STUDY

Role of transfer functions in PSO to select diagnostic attributes for chronic disease prediction: An experimental study

Particle Swarm Optimization (PSO) is a classic and popularly used meta-heuristic algorithm in many real-life optimization problems due to its less computational complexity and simplicity.The binary version of PSO, known as BPSO, is used to solve binary optimization problems, such as feature selection.Like other meta-heuristic optimization technique

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Building An Employment Market without Confrontational Trade Unions: A Pattern of Core Employment Expansion in Korea and China

A core employment market based on modem information and communications technology (ICT) and human resources (HR) management can fundamentally overcome the shortcomings of a traditional employment market, in which the problems of an here imbalance in the relationship between employers and employees are antagonistically alleviated by independent trad

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Reinforcement of the Gas Barrier Properties of Polyethylene and Polyamide Through the Nanocomposite Approach: Key Factors and Limitations

In this study, polyamide 6 (PA6) and polyethylene (PE) nanocomposites were prepared from melt blending and a detailed characterization of the nanocomposite morphology and gas barrier properties was performed.The choice of the organoclay was adapted to each polymer matrix.Exfoliated morphology and improved gas transport properties were obtained by m

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