Innovative Trends in Computational Intelligence / edited by Ravi Tomar, Manolo Dulva Hina, Rafik Zitouni, Amar Ramdane-Cherif.

Format:

Book

Contributor:

Tomar, Ravi, Editor.

Hina, Manolo Dulva, Editor.

Zitouni, Rafik, Editor.

Ramdane-Cherif, Amar, Editor.

Series:

EAI/Springer Innovations in Communication and Computing, 2522-8609

Language:

English

Subjects (All):

Computational intelligence.

Telecommunication.

Pattern recognition systems.

Data mining.

Computational Intelligence.

Communications Engineering, Networks.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Local Subjects:

Computational Intelligence.

Communications Engineering, Networks.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (295 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies. Addresses key computational issues that can be solved by computational intelligence; Introduces various application domains by which computational intelligence is the preferred solution; Includes approaches such as swam intelligence, data mining, and artificial intelligence.

Contents:

Part I. Innovative Trends in Computational Intelligence

Chapter 1. Data Mining in Healthcare and Prediction Model Using Data-Mining Technique on Covid-19

Chapter 2. Computational Intelligence in Intelligent Transportation Systems: An Overview

Chapter 3. Insights to Computational Intelligence Techniques for Computer Vision

Chapter 4. A two-stage multi-feature selection method to predict healthcare data using neural network

Chapter 5. Computational Approaches for Detection and Classification of Crop Diseases

Chapter 6. Three-Layer Multimodal Biometric Fusion Using SIFT and SURF Descriptors for Improved Accuracy of Authentication of Human Identity

Chapter 7. Applying Computation Intelligence for Improved Computer Vision Capabilities

Chapter 8. ECG Feature Extraction

Chapter 9. Computational Intelligence in Web Min

Chapter 10. A Review on Cognitive Computational Neuroscience: Overview, Models and Applications

Chapter 11. Artificial Neural Network: Models, Applications and Challenges

Chapter 12. Proportional and Multi-Stimulations Haptic Device for Active Upper Limbs Prosthetics Control.

Other Format:

Print version: Tomar, Ravi Innovative Trends in Computational Intelligence

ISBN:

3-030-78284-0

OCLC:

1287138135