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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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Binary B-Hill Climbing Optimizer with S-shape Transfer Function for Feature Selection
Published 2020“…In order to tailor β β -hill climbing for feature selection, it has to be adapted to work in a binary context. The S-shaped transfer function is used to transform the data into the binary representation. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
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Localization of epileptogenic foci using artificial neural networks
Published 2017“…Results show that the radial basis function classifier yielded the most promising results although other classification techniques produced satisfactory results as well.…”
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Enhanced Brain Source localization using Multimodal signal Fusion
Published 2025Get full text
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The human eccrine sweat gland: Structure, function and disorders
Published 2015“…Disorders of sweat glands and the resultant conditions, most often relate to defects in the secretion of sweat and its release on to the skin surface. …”
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
Published 2024“…The proposed approach effectively incorporates cross-domain deep federated transfer learning (FTL) to leverage local operating data for TSA in a decentralized fashion. …”
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Mobile robots obstacles avoidance using dynamic window approach
Published 2018Get full text
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An Enhanced Binary Rat Swarm Optimizer based on Local-best Concepts of PSO and Collaborative Crossover Operators for Feature Selection
Published 2022“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System
Published 2023“…We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm, gravitational search algorithm, African vultures optimization, and the Aquila Optimizer using well-known unimodal, multimodal benchmark functions. CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm. …”
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Workplace Stress Management using EEG-fNIRS Data Fusion and Binaural Beat Stimulation
Published 2023Get full text
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Functional Characterization of Novel <i>MC4R </i>Variants Identified in Two Unrelated Patients with Morbid Obesity in Qatar
Published 2023“…The <i>MC4R</i> gene plays a central role in leptin–melanocortin signaling, and heterozygous variants in this gene are the most common cause of MO. A targeted gene panel consisting of 52 obesity-related genes was used to screen for variants associated with obesity. …”
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Arsenic: A double-edged sword
Published 2014“…“In a very specific concentration range, apoptosis is induced in these cells, while most of the other cells still survive.”</p><p>Many different human diseases involve altered cell mechanisms. …”
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Effect of deposit chemistry on microbial community structure and activity: Implications for under-deposit microbial corrosion
Published 2023“…Uniform and localized corrosion were more severe in the raw sand deposit compared to the treated sand.…”
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Published 2023“…The improvements include three additions: First, different alternatives of transfer functions were used to convert ARO from continuous to binary; second, the global-best concept was added to the binary ARO to improve the exploitation capability of the proposed algorithm; and finally, Lévy flight and opposition-based learning strategies were injected into the proposed algorithm to enhance its diversity and thus improve the balance between global exploration and local exploitation during all stages of the search process. …”
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