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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Data Analysis and Optimization for Engineering and Computing Problems

(COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications;

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Optimization and Control for Systems in the Big-Data Era

frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five;

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Modeling, Simulation, and Optimization

in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways;

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Optimization Problems in Graph Theory

, data analysis, industrial and systems engineering will benefit from the state-of-the-art results presented in modern graph theory and its;

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Nature Inspired Computing for Data Science

optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores;

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Smart Computational Intelligence in Biomedical and Health Informatics

Covers evolutionary approaches to solve optimization problems in biomedical engineering. Discusses IoT, Cloud computing, data analytics;

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Signal Processing and Networking for Big Data Applications

for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and;

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Intelligent Computing & Optimization

and optimization approaches to real-world problems in big-data, smart cities, sustainability, meta-heuristics, cyber-security, IoTs, economics;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Theories and Application

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Intelligent Computing Methodologies

learning and data analysis for medical and engineering applications; evolutionary computation and learning; independent component analysis;

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Predictive Intelligence in Biomedical and Health Informatics

intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to;

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Stochastic Simulation Optimization

of computing resource in the simulation experiments for optimization, and aims to provide academic researchers and industrial practitioners with a;

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Nature Inspired Computing for Smart Application Design

method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The;

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Intelligent Computing Theories and Methodologies

-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif;

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Intelligent Computing Theories and Methodologies

-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif;

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Advances in High Performance Computing

, Modelling, Simulation & Optimization in a Data Rich Environment, Advanced numerical methods for HPC, Hybrid parallel or distributed algorithms;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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Advances in Harmony Search, Soft Computing and Applications

detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers;

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Applied Probabilistic Calculus for Financial Engineering

illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and;

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Modeling, Assessment, and Optimization of Energy Systems

Modelling, Assessment, and Optimization of Energy Systems provides comprehensive methodologies for the thermal modelling of energy systems;

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Recent Advances in Artificial Intelligence and Data Engineering

reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.;

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management

to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage;

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Metasynthetic Computing and Engineering of Complex Systems

Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic;

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