The Internet of Things (IoT) creates an environment where things are permitted to act, hear, listen, and talk. IoT devices encompass a wide range objects, from basic sensors intelligent devices, capable exchanging information with or without human intervention. However, the integration wireless nodes in systems brings about both advantages challenges. While connectivity enhances system function...

SELEX PROCESS TO SCREEN TUMOR CELL-SPECIFIC APTAMERS Chen-Hsun Weng, Lien-Yu Hung, Hsin-I Lin, I-Shan Hsieh, Shu-Chu Shiesh, Yu-Ling Chen and Gwo-Bin Lee Department of Microbiology and Immunology, Department of Medical Laboratory Science and Biotechnology, Institute of Basic Medical Sciences, Institute of Oral Medicine, National Cheng Kung University, Tainan 701, Taiwan Department of Power Mech...

With the advantages of easy implement and few adjustment parameters, grey wolf optimization (GWO) performs well in solving global problems. However, original GWO can suffer from slow convergence speed plunge into local optimums dealing with complex To address these issues, improvement mixed-strategy based (MGWO) is proposed this paper. Firstly, we present chaos strategy combination quasi-opposi...

Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems. Yet, the slow convergence speed issue could demote performance of classification accuracy. Therefore, to overcome this issue, a modified WOA (mWOA) GWO (mGWO) for wrapper-based were proposed study. The mWOA mGWO given new i...

Many evolutionary algorithms have been presented in the last few decades, some of these algorithms were sufficiently tested and used in many researches and papers, such as: Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Differential Evolution Algorithm (DEA). Other recently proposed algorithms were unknown and rarely used such as Stochastic Fractal Search (SFS), Symbiotic Organi...

Electric vehicles (EVs) are seen as a necessary component of transportation's future growth. However, the performance batteries related to power density and energy restricts adoption electric vehicles. To make transition from conventional car pure vehicle (PEV), Hybrid Vehicle's (HEV) Energy Management System (EMS) is crucial. The HEVs often powered with hybrid electrical sources, therefore it ...

Abstract In estimating the parameters of five unknown Single‐Diode Model (SDM) solar photovoltaic (PV) model, a non‐linear equation for PV cell current is typically utilized. Then, error between estimated and measured computed using objective function called Root‐Mean‐Square‐Error (RMSE). order to compute in SDM, an iterative method built on Lambert‐W presented this study. Along with Lamber‐W f...

In dynamic unmanned aerial vehicle (UAV) networks, localization and clustering are fundamental functions for cooperative control. this article, we propose bio-inspired (BIL) (BIC) schemes in UAV networks wildfire detection monitoring. First, develop a hybrid gray wolf optimization (HGWO) method an energy-efficient three-dimensional BIL algorithm based on the HGWO, which reduces errors, avoids f...

The enhancement of photovoltaic (PV) energy systems relies on an accurate PV model. Researchers have made significant efforts to extract parameters due their nonlinear characteristics the system, and lake information from manufactures’ system datasheet. estimation using optimization algorithms is a challenging problem in which wide range research has been conducted. idea behind this challenge s...

In order to solve the problem of low abnormal diagnosis rate self-powered power supply system, an improved grey wolf optimization-support vector machine (GWO-SVM) algorithm combined with maximal information coefficient (MIC) are proposed. First, feature sets 11 kinds monitoring data optimized and selected based on MIC for system. By eliminating redundant variables insensitive variables, variabl...