Design and Applications of Nature Inspired Optimization
portes grátis
Design and Applications of Nature Inspired Optimization
Contribution of Women Leaders in the Field
Deep, Kusum; Singh, Dipti; Garg, Vanita
Springer International Publishing AG
01/2024
204
Mole
Inglês
9783031179310
15 a 20 dias
Descrição não disponível.
AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS.- Particle Swarm Optimization and its Applications in the Manufacturing Industry.- Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions.- Advanced Selection Operation for Differential Evolution Algorithm.- Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm.- Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations.- Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique.- SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING.- Social media analysis: A tool for popularity prediction using machine learning classifiers.
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Women in science and engineering;Women in STEM;Women in technology;Nature inspired optimization;Optimization problems;SDG5;Nature Inspired Optimization
AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS.- Particle Swarm Optimization and its Applications in the Manufacturing Industry.- Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions.- Advanced Selection Operation for Differential Evolution Algorithm.- Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm.- Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations.- Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique.- SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING.- Social media analysis: A tool for popularity prediction using machine learning classifiers.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
