Results 41 to 50 of about 21,753 (225)
A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN)
Journal of King Saud University: Computer and Information Sciences, 2019 Neural Network (NN), hybrid NN methods and Rotation Forest (RF) ensemble classifier are preferred in pattern analysis owing to their ability for finding efficient solutions on different problems.
Rahime Ceylan, Hasan Koyuncu
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AI &Innovation, EarlyView.ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez +2 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
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Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
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Feature selection algorithm based on improved particle swarm joint taboo search
Tongxin xuebao, 2018 To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. The genetic algorithm was used to improve the particle swarm
Zhen ZHANG +5 more
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Carbon Energy, EarlyView.ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Porous Carbon Materials for Carbon Dioxide Capture
Carbon Energy, EarlyView.This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu +6 more
wiley +1 more source
A Hierarchical Structure Poly-Particle Swarm Optimization Algorithm
工程科学与技术, 2008 : In order to improve the performances of particle swarm optimization（PSO）on convergence rate and accurate, a hierarchical structure poly-particle swarm optimization（HSPPSO） approach using the hierarchical structure concept of control theory was ...
Lv Lin, 罗绮, 刘俊勇
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Image Resteoration by BP Neural Based on PSO [PDF]
Xibei Gongye Daxue Xuebao, 2018 Based on PSO-BP algorithm combining particle swarm algorithm with BP neural network algorithm, this paper applies this algorithm to image restoration based on optimization.
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CleanMat, EarlyView.Graphene oxide/NiO‐ZrO2/zeolite ternary composite was synthesized hydrothermally. Efficient adsorption of Congo red onto GO/NiO‐ZrO2/zeolite composite was studied. ABSTRACT The present study employs a novel method for the synthesis of graphene oxide (GO) based ternary composite utilized for the adsorption of Congo red (CR), an anionic dye molecule. The
Hidaya Narzary +3 more
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