Results 51 to 60 of about 136 (122)
A Simple Brain Storm Optimization Algorithm With a Periodic Quantum Learning Strategy
IEEE Access, 2018 Brain storm optimization (BSO) is a young and promising population-based swarm intelligence algorithm inspired by the human process of brainstorming. The BSO algorithm has been successfully applied to both science and engineering issues.
Zhenshou Song +3 more
doaj +1 more source
Implantable electrochemical sensors for continuous blood monitoring
FlexMat, EarlyView.Implantable electrochemical sensors enable direct, in situ, and continuous blood monitoring, shifting diagnosis from population‐based averages to dynamic, individualized analysis. This review systematically examines the influence of the unique blood properties on sensor design.
Kuangyi Zou +3 more
wiley +1 more source
A Compact Brain Storm Algorithm for Matching Ontologies
IEEE Access, 2020 An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
doaj +1 more source
Journal of Intelligent Medicine, EarlyView.Abstract Simultaneous electroencephalography (EEG) recording during transcranial alternating current stimulation (tACS) is strongly contaminated by stimulation artifacts, limiting direct assessment of neural activity. Steady‐state visual evoked potentials (SSVEPs) provide frequency‐specific and phase‐locked responses, making them suitable for ...
Hongzuo Chu +5 more
wiley +1 more source
A Hybrid Swarm Intelligence Algorithm for Vehicle Routing Problem With Time Windows
IEEE Access, 2020 The Vehicle Routing Problem with Time Windows (VRPTW) has drawn considerable attention in the last decades. The objective of VRPTW is to find the optimal set of routes for a fleet of vehicles in order to serve a given set of customers within capacity and
Yang Shen +4 more
doaj +1 more source
Keeping It Native: Non‐Denaturing Approaches to Top‐Down Protein Mass Spectrometry
Mass Spectrometry Reviews, EarlyView.ABSTRACT Top‐down proteomics and top‐down mass spectrometry approaches provide direct characterization of proteoforms; the specific molecular forms of proteins, including post‐translational modifications, truncations, alternative splicing, and sequence variants.
Michael Xiao +3 more
wiley +1 more source
IEEE Access, 2019 With the trend of manufacturing globalization, distributed production has attracted wide attention from the industry and academia. Nevertheless, there has been little research on the distributed hybrid flowshop scheduling (DHFS) problem.
Jian-Hua Hao +5 more
doaj +1 more source
Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm
Discrete Dynamics in Nature and Society, 2022 In intelligent warehouse, the problem of transporting goods in intelligent warehouse is becoming increasingly complex, and the traditional way of automatically guiding vehicles (AGVs) is inefficient, so automated robot systems are introduced into ...
Jia Ma, Shujun Yang, Hao Jing
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A Gap Analysis of Deep Brain Stimulation for Childhood‐Onset Movement Disorders
Movement Disorders, EarlyView.Abstract Background Deep brain stimulation (DBS) is an established and increasingly utilized therapy for childhood‐onset movement disorders. However, pediatric DBS poses unique challenges that are not adequately addressed by adult‐derived paradigms. Objective To identify key gaps in the current use of DBS in childhood‐onset movement disorders and to ...
Daniela Munoz‐Chesta +6 more
wiley +1 more source
Neurourology and Urodynamics, EarlyView.ABSTRACT Objectives Sacral neuromodulation (SNM) therapy today relies on visually observed motor responses (e.g., anal bellows contraction, toe flexion) and subjective patient feedback (pelvic region sensations) to optimize lead placement and perform device programming.
Colin Goudelocke +15 more
wiley +1 more source