Intelligent decision support systems :: applications in signal processing /
Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems...
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Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin Boston
Walter de Gruyter GmbH
[2019]
|
Schriftenreihe: | De Gruyter frontiers in computational intelligence ;
v. 4. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD) |
Beschreibung: | 1 online resource (x, 182 pages) illustrations |
Bibliographie: | Includes bibliographical references and index |
ISBN: | 311062110X 9783110618716 3110618710 9783110621105 |
Internformat
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520 | |a Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD) | ||
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author2 | Borra, Surekha Dey, Nilanjan, 1984- Bhattacharyya, Siddhartha, 1975- Bouhlel, Mohamed Salim |
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author_additional | Jovic, Alan -- Sabri, My Abdelouahed / Filali, Youssef / Ennouni, Assia / Yahyaouy, Ali / Aarab, Abdellah -- Ishita, Banerjee / Madhumathy, P. / Kavitha, N. -- Sivaranjani, Reddi / Naresh, Vankamamidi S. / Murthy, Nistala V.E.S. -- Rajyaguru, Vipul C. / Vithalani, Chandresh H. / Thanki, Rohit M. -- Wiem, Belhedi / Anouar, Ben Messaoud Mohamed / Aïcha, Bouzid -- Verma, Varnita / Rajput, Anshuman / Chauhan, Piyush / Rathore, Harshit / Goyal, Piyush / Gupta, Mukul Kumar -- |
author_facet | Borra, Surekha Dey, Nilanjan, 1984- Bhattacharyya, Siddhartha, 1975- Bouhlel, Mohamed Salim |
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contents | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Feature selection in biomedical signal classification process and current software implementations / 2. An overview of skin lesion segmentation, features engineering, and classification / 3. Brain tumor image segmentation and classification using SVM, CLAHE, and ARKFCM / 4. Coronary Heart Disease prediction using genetic algorithm based decision tree / 5. Intelligent approach for retinal disease identification / 6. Speech separation for interactive voice systems / 7. Machine vision for human-machine interaction using hand gesture recognition / Index |
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dewey-raw | 658.4/03 |
dewey-search | 658.4/03 |
dewey-sort | 3658.4 13 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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id | ZDB-4-EBA-on1129148162 |
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indexdate | 2024-11-27T13:29:41Z |
institution | BVB |
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language | English |
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series | De Gruyter frontiers in computational intelligence ; |
series2 | De Gruyter frontiers in computational intelligence |
spelling | Intelligent decision support systems : applications in signal processing / edited by Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel Berlin Boston Walter de Gruyter GmbH [2019] 1 online resource (x, 182 pages) illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file De Gruyter frontiers in computational intelligence volume 4 Print version record Includes bibliographical references and index Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Feature selection in biomedical signal classification process and current software implementations / Jovic, Alan -- 2. An overview of skin lesion segmentation, features engineering, and classification / Sabri, My Abdelouahed / Filali, Youssef / Ennouni, Assia / Yahyaouy, Ali / Aarab, Abdellah -- 3. Brain tumor image segmentation and classification using SVM, CLAHE, and ARKFCM / Ishita, Banerjee / Madhumathy, P. / Kavitha, N. -- 4. Coronary Heart Disease prediction using genetic algorithm based decision tree / Sivaranjani, Reddi / Naresh, Vankamamidi S. / Murthy, Nistala V.E.S. -- 5. Intelligent approach for retinal disease identification / Rajyaguru, Vipul C. / Vithalani, Chandresh H. / Thanki, Rohit M. -- 6. Speech separation for interactive voice systems / Wiem, Belhedi / Anouar, Ben Messaoud Mohamed / Aïcha, Bouzid -- 7. Machine vision for human-machine interaction using hand gesture recognition / Verma, Varnita / Rajput, Anshuman / Chauhan, Piyush / Rathore, Harshit / Goyal, Piyush / Gupta, Mukul Kumar -- Index Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD) Decision support systems. http://id.loc.gov/authorities/subjects/sh86006549 Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'aide à la décision. Traitement du signal. Intelligence artificielle. artificial intelligence. aat COMPUTERS Intelligence (AI) & Semantics. bisacsh Artificial intelligence fast Decision support systems fast Signal processing fast Borra, Surekha editor Dey, Nilanjan, 1984- editor. https://id.oclc.org/worldcat/entity/E39PCjy7XgvMKFHtDJRt8Dtcbm http://id.loc.gov/authorities/names/n2015186986 Bhattacharyya, Siddhartha, 1975- editor. https://id.oclc.org/worldcat/entity/E39PCjC9bHm8jq7VtHVvm739fy http://id.loc.gov/authorities/names/n2012057934 Bouhlel, Mohamed Salim editor has work: Intelligent decision support systems (Text) https://id.oclc.org/worldcat/entity/E39PCFXTgpFjTMGjG7xddVXwyb https://id.oclc.org/worldcat/ontology/hasWork Print version: Intelligent decision support systems. Berlin, De Gruyter GmbH, [2019] 3110618680 (DLC) 2019945100 (OCoLC)1050958954 De Gruyter frontiers in computational intelligence ; v. 4. http://id.loc.gov/authorities/names/no2019118184 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2292914 Volltext |
spellingShingle | Intelligent decision support systems : applications in signal processing / De Gruyter frontiers in computational intelligence ; Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Feature selection in biomedical signal classification process and current software implementations / 2. An overview of skin lesion segmentation, features engineering, and classification / 3. Brain tumor image segmentation and classification using SVM, CLAHE, and ARKFCM / 4. Coronary Heart Disease prediction using genetic algorithm based decision tree / 5. Intelligent approach for retinal disease identification / 6. Speech separation for interactive voice systems / 7. Machine vision for human-machine interaction using hand gesture recognition / Index Decision support systems. http://id.loc.gov/authorities/subjects/sh86006549 Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'aide à la décision. Traitement du signal. Intelligence artificielle. artificial intelligence. aat COMPUTERS Intelligence (AI) & Semantics. bisacsh Artificial intelligence fast Decision support systems fast Signal processing fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh86006549 http://id.loc.gov/authorities/subjects/sh85122397 http://id.loc.gov/authorities/subjects/sh85008180 |
title | Intelligent decision support systems : applications in signal processing / |
title_alt | Frontmatter -- Preface -- Contents -- List of Contributors -- 1. Feature selection in biomedical signal classification process and current software implementations / 2. An overview of skin lesion segmentation, features engineering, and classification / 3. Brain tumor image segmentation and classification using SVM, CLAHE, and ARKFCM / 4. Coronary Heart Disease prediction using genetic algorithm based decision tree / 5. Intelligent approach for retinal disease identification / 6. Speech separation for interactive voice systems / 7. Machine vision for human-machine interaction using hand gesture recognition / Index |
title_auth | Intelligent decision support systems : applications in signal processing / |
title_exact_search | Intelligent decision support systems : applications in signal processing / |
title_full | Intelligent decision support systems : applications in signal processing / edited by Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel |
title_fullStr | Intelligent decision support systems : applications in signal processing / edited by Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel |
title_full_unstemmed | Intelligent decision support systems : applications in signal processing / edited by Surekha Borra, Nilanjan Dey, Siddhartha Bhattacharyya, Mohamed Salim Bouhlel |
title_short | Intelligent decision support systems : |
title_sort | intelligent decision support systems applications in signal processing |
title_sub | applications in signal processing / |
topic | Decision support systems. http://id.loc.gov/authorities/subjects/sh86006549 Signal processing. http://id.loc.gov/authorities/subjects/sh85122397 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Systèmes d'aide à la décision. Traitement du signal. Intelligence artificielle. artificial intelligence. aat COMPUTERS Intelligence (AI) & Semantics. bisacsh Artificial intelligence fast Decision support systems fast Signal processing fast |
topic_facet | Decision support systems. Signal processing. Artificial intelligence. Systèmes d'aide à la décision. Traitement du signal. Intelligence artificielle. artificial intelligence. COMPUTERS Intelligence (AI) & Semantics. Artificial intelligence Decision support systems Signal processing |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2292914 |
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