Intelligent decision support systems : applications in signal processing /

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Bibliographic Details
Imprint:Berlin Boston Walter de Gruyter GmbH [2019]
Description:1 online resource (x, 182 pages) illustrations
Language:English
Series:De Gruyter frontiers in computational intelligence volume 4
De Gruyter frontiers in computational intelligence ; v. 4.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12649971
Hidden Bibliographic Details
Other authors / contributors:Borra, Surekha editor
Dey, Nilanjan, 1984- editor.
Bhattacharyya, Siddhartha, 1975- editor.
Bouhlel, Mohamed Salim editor
ISBN:311062110X
9783110618716
3110618710
9783110621105
9783110618686
3110618680
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index
Description based on print version record
Summary: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)
Other form:Print version Intelligent decision support systems Berlin, De Gruyter GmbH, [2019] 3110618680
Standard no.:10.1515/9783110621105

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505 0 0 |t Frontmatter --  |t Preface --  |t Contents --  |t List of Contributors --  |t 1. Feature selection in biomedical signal classification process and current software implementations /  |r Jovic, Alan --  |t 2. An overview of skin lesion segmentation, features engineering, and classification /  |r Sabri, My Abdelouahed / Filali, Youssef / Ennouni, Assia / Yahyaouy, Ali / Aarab, Abdellah --  |t 3. Brain tumor image segmentation and classification using SVM, CLAHE, and ARKFCM /  |r Ishita, Banerjee / Madhumathy, P. / Kavitha, N. --  |t 4. Coronary Heart Disease prediction using genetic algorithm based decision tree /  |r Sivaranjani, Reddi / Naresh, Vankamamidi S. / Murthy, Nistala V.E.S. --  |t 5. Intelligent approach for retinal disease identification /  |r Rajyaguru, Vipul C. / Vithalani, Chandresh H. / Thanki, Rohit M. --  |t 6. Speech separation for interactive voice systems /  |r Wiem, Belhedi / Anouar, Ben Messaoud Mohamed / Aïcha, Bouzid --  |t 7. Machine vision for human-machine interaction using hand gesture recognition /  |r Verma, Varnita / Rajput, Anshuman / Chauhan, Piyush / Rathore, Harshit / Goyal, Piyush / Gupta, Mukul Kumar --  |t Index 
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) 
650 0 |a Decision support systems.  |0 http://id.loc.gov/authorities/subjects/sh86006549 
650 0 |a Signal processing.  |0 http://id.loc.gov/authorities/subjects/sh85122397 
650 0 |a Artificial intelligence.  |0 http://id.loc.gov/authorities/subjects/sh85008180 
650 4 |a Künstliche Intelligenz 
650 4 |a Signalverarbeitung 
650 7 |a COMPUTERS  |x Intelligence (AI) & Semantics  |2 bisacsh 
650 7 |a Artificial intelligence  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Decision support systems  |2 fast  |0 (OCoLC)fst00889080 
650 7 |a Signal processing  |2 fast  |0 (OCoLC)fst01118281 
655 4 |a Electronic books 
700 1 |a Borra, Surekha  |e editor 
700 1 |a Dey, Nilanjan,  |d 1984-  |e editor.  |0 http://id.loc.gov/authorities/names/n2015186986 
700 1 |a Bhattacharyya, Siddhartha,  |d 1975-  |e editor.  |0 http://id.loc.gov/authorities/names/n2012057934 
700 1 |a Bouhlel, Mohamed Salim  |e editor 
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