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Advanced interdisciplinary applicati...

Oroumchian, Farhad, (1958-)

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Advanced interdisciplinary applications of deep learning for data science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced interdisciplinary applications of deep learning for data science/ Soly Mathew Biju, Farhad Oroumchian, editors.
other author:	Oroumchian, Farhad,
Published:	Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:	1 online resource (xxii,371 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. Deep Learning in Bioinformatics for Revolutionizing Genomic Data Analysis -- Chapter 2. DeepRank: A Novel Rank Aggregation Method Using Deep-Learning Ensembles -- Chapter 3. Enhancing Digital Documents Using Autoencoders -- Chapter 4. Machine Learning-Enhanced Water and Air Quality Monitoring Technologies and Applications -- Chapter 5. Wind Speed Prediction at Multiple Heights for Offshore Wind Turbines Using Deep Learning -- Chapter 6. Text Classification of Persian Documents With Deep Learning -- Chapter 7. An Optimized Approach for Real-Time License Plate Detection and Tracking Using YOLO-NAS and SORT With Comparative Analysis of YOLO Variants -- Chapter 8. Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research -- Chapter 9. Advanced Image Enhancement Techniques for Small Object Detection in Synthetic Aperture Radar (SAR) Imagery -- Chapter 10. A Novel Facial Expression Recognition System Using Convolutional Neural Network -- Chapter 11. Healthy Living Facilitated by Deep Learning Algorithm: Deep Learning Approach for Healthcare -- Chapter 12. Brain Tumor Detection Using Deep Learning Algorithms -- Compilation of References -- About the Contributors -- Index.
Subject:	Deep learning (Machine learning) - Industrial applications. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4759-1
ISBN:	9798369347614

Advanced interdisciplinary applications of deep learning for data science
Advanced interdisciplinary applications of deep learning for data science[electronic resource] /Soly Mathew Biju, Farhad Oroumchian, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxii,371 p.) :ill. - Advances in IT standards and standardization research series (AISSR). - Advances in IT standards and standardization research series (AISSR)..

Includes bibliographical references and index.

Preface -- Chapter 1. Deep Learning in Bioinformatics for Revolutionizing Genomic Data Analysis -- Chapter 2. DeepRank: A Novel Rank Aggregation Method Using Deep-Learning Ensembles -- Chapter 3. Enhancing Digital Documents Using Autoencoders -- Chapter 4. Machine Learning-Enhanced Water and Air Quality Monitoring Technologies and Applications -- Chapter 5. Wind Speed Prediction at Multiple Heights for Offshore Wind Turbines Using Deep Learning -- Chapter 6. Text Classification of Persian Documents With Deep Learning -- Chapter 7. An Optimized Approach for Real-Time License Plate Detection and Tracking Using YOLO-NAS and SORT With Comparative Analysis of YOLO Variants -- Chapter 8. Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research -- Chapter 9. Advanced Image Enhancement Techniques for Small Object Detection in Synthetic Aperture Radar (SAR) Imagery -- Chapter 10. A Novel Facial Expression Recognition System Using Convolutional Neural Network -- Chapter 11. Healthy Living Facilitated by Deep Learning Algorithm: Deep Learning Approach for Healthcare -- Chapter 12. Brain Tumor Detection Using Deep Learning Algorithms -- Compilation of References -- About the Contributors -- Index.

"This book aims to provide a detail description and hands on application of various deep learning algorithms to accomplish various tasks, processes encompassing all into an application that could be implemented and tested by naïveand experts. This book will provide complete and practical reference to application of various trending deep machine learning algorithms and its application in multidisciplinary areas"--

Mode of access: World Wide Web.

ISBN: 9798369347614Subjects--Topical Terms:

3730184
Deep learning (Machine learning)
--Industrial applications.Subjects--Index Terms:

Bioinformatics.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: Q325.73 / .A38 2025eb

Dewey Class. No.: 006.3/12

Advanced interdisciplinary applications of deep learning for data science
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245 0 0 $a Advanced interdisciplinary applications of deep learning for data science $h [electronic resource] / $c Soly Mathew Biju, Farhad Oroumchian, editors.
260 $a Hershey, Pennsylvania : $b IGI Global Scientific Publishing, $c 2025.
300 $a 1 online resource (xxii,371 p.) : $b ill.
490 1 $a Advances in IT standards and standardization research series (AISSR)
504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Deep Learning in Bioinformatics for Revolutionizing Genomic Data Analysis -- Chapter 2. DeepRank: A Novel Rank Aggregation Method Using Deep-Learning Ensembles -- Chapter 3. Enhancing Digital Documents Using Autoencoders -- Chapter 4. Machine Learning-Enhanced Water and Air Quality Monitoring Technologies and Applications -- Chapter 5. Wind Speed Prediction at Multiple Heights for Offshore Wind Turbines Using Deep Learning -- Chapter 6. Text Classification of Persian Documents With Deep Learning -- Chapter 7. An Optimized Approach for Real-Time License Plate Detection and Tracking Using YOLO-NAS and SORT With Comparative Analysis of YOLO Variants -- Chapter 8. Advanced Neural Networks for Multimodal Data Fusion in Interdisciplinary Research -- Chapter 9. Advanced Image Enhancement Techniques for Small Object Detection in Synthetic Aperture Radar (SAR) Imagery -- Chapter 10. A Novel Facial Expression Recognition System Using Convolutional Neural Network -- Chapter 11. Healthy Living Facilitated by Deep Learning Algorithm: Deep Learning Approach for Healthcare -- Chapter 12. Brain Tumor Detection Using Deep Learning Algorithms -- Compilation of References -- About the Contributors -- Index.
520 3 $a "This book aims to provide a detail description and hands on application of various deep learning algorithms to accomplish various tasks, processes encompassing all into an application that could be implemented and tested by naïveand experts. This book will provide complete and practical reference to application of various trending deep machine learning algorithms and its application in multidisciplinary areas"-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
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650 0 $a Big data. $3 2045508
653 $a Bioinformatics.
653 $a Data Analysis.
653 $a Data Science.
653 $a Deep Learning.
653 $a Environmental Monitoring.
653 $a Machine Learning.
653 $a Medical Diagnosis.
653 $a Medical Diseases.
653 $a Neural Networks.
653 $a Object Detection.
653 $a Predictive Analysis.
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Oroumchian, Farhad, $d 1958- $3 3793585
700 1 $a Biju, Soly, $d 1976- $3 3730121
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776 0 8 $i Print version: $z 9798369347591
830 0 $a Advances in IT standards and standardization research series (AISSR). $3 3793586
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4759-1