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Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

Posted By: AvaxGenius

Date: 6 Sep 2022 15:00:36

Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Repost)

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2021), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from April 10 to 11, 2021. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

big data analytics big data technologies decision tree learning wireless communication fuzzy logic data mining genetic algorithms deep learning artificial neural networks bioinformatics optimization algorithms image processing computational intelligence creative computing Data Science Algorithms Robotics Machine Learning Data Mining

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Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1

Posted By: AvaxGenius

Date: 19 Feb 2022 21:30:42

big data analytics big data technologies decision tree learning wireless communication wireless sensor networking bioinformatics systems artificial neural networks deep learning genetic algorithms data mining fuzzy logic optimization algorithms image processing computational intelligence creative computing Data Science Algorithms Machine Learning Data Mining Computational Intelligence Artificial Intelligence Statistics Data Security Robotics Science

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Statistical Data Modeling and Machine Learning with Applications

Posted By: AvaxGenius

Date: 6 Jan 2022 19:37:35

Statistical Data Modeling and Machine Learning with Applications by Snezhana Gocheva-Ilieva
English | PDF | 2021 | 186 Pages | ISBN : 3036526927 | 11.5 MB

The modeling and processing of empirical data is one of the main subjects and goals of statistics. Nowadays, with the development of computer science, the extraction of useful and often hidden information and patterns from data sets of different volumes and complex data sets in warehouses has been added to these goals. New and powerful statistical techniques with machine learning (ML) and data mining paradigms have been developed.

Science Data Modeling Machine Learning Machine Learning with Applications Statistical Data Modeling mathematical statistics operational research mathematical analysis numerical methods artificial neural networks optimization statistical estimation Mathematics Computer Science

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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

Posted By: AvaxGenius

Date: 19 Jun 2021 06:05:40

Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems by Kasra Esfandiari
English | PDF | 2021 | 121 Pages | ISBN : 3030731359 | 9 MB

The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes.

control Development neural networks Science Programming IT Neural Network Patterns Engineering Algorithms Technology Mathematics artificial neural networks Adaptive control artificial neural network

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Interactions Between Computational Intelligence and Mathematics (Repost)

Posted By: AvaxGenius

Date: 3 May 2021 12:23:21

Interactions Between Computational Intelligence and Mathematics (Repost)

This book presents recent research in the field of interaction between computational intelligence and mathematics, ranging from theory to applications. Computational intelligence, or soft computing consists of various bio-inspired methods, especially fuzzy systems, artificial neural networks, evolutionary and memetic algorithms.

Development Fuzzy system soft computing intelligence fuzzy systems memetic algorithms Science Neural Network Algorithms Patterns Engineering Programming Technology Genetic fuzzy system fuzzy Mathematics artificial neural networks Computational Intelligence ePub

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Intelligent Manufacturing

Posted By: AvaxGenius

Date: 17 Jan 2021 16:16:34

This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported.

genetic algorithms artificial neural networks Fuzzy system Neural Network Patterns Engineering Algorithms Genetic fuzzy system Science Technology fuzzy logic

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Mining Intelligence and Knowledge Exploration

Posted By: AvaxGenius

Date: 19 Dec 2020 11:26:42

Mining Intelligence and Knowledge Exploration: 7th International Conference, MIKE 2019, Goa, India, December 19–22, 2019, Proceedings by Purushothama B. R.
English | PDF | 2020 | 357 Pages | ISBN : 3030661865 | 38.3 MB

This book constitutes the refereed conference proceedings of the 7th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2019, held in Goa, India, in December 2019.

InfoSec information retrieval data mining Mathematics Genetic fuzzy system Neural Network Web development Development Fuzzy system computational intelligence artificial intelligence Web dev Science Programming IT Patterns Algorithms Databases artificial neural networks fuzzy logic Communication machine learning IT Security Engineering SQL Technology

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Evolutionary Algorithms in Intelligent Systems

Posted By: AvaxGenius

Date: 17 Dec 2020 23:14:05

Evolutionary Algorithms in Intelligent Systems by Alfredo Milani
English | PDF | 2020 | 146 Pages | ISBN : 3039436112 | 15.1 MB

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems.

Evolutionary Algorithms Development optimization problems swarm optimization IoT Programming Intelligent Systems machine learning Neural Network Patterns Engineering Algorithms Technology Science Mathematics artificial neural networks machine learning systems metaheuristics

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