Signal Processing And Machine Learning For Biomedical Big Data

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Signal Processing and Machine Learning for Biomedical Big Data

Ervin Sejdic,Tiago H. Falk
Signal Processing and Machine Learning for Biomedical Big Data Book PDF

Author : Ervin Sejdic,Tiago H. Falk
Publisher : CRC Press
Page : 1151 pages
File Size : 45,5 Mb
Release : 2018-07-04
Category : Medical
ISBN : 9781351061216

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Signal Processing and Machine Learning for Biomedical Big Data by Ervin Sejdic,Tiago H. Falk Pdf

Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Signal Processing in Medicine and Biology

Iyad Obeid,Joseph Picone,Ivan Selesnick
Signal Processing in Medicine and Biology Book PDF

Author : Iyad Obeid,Joseph Picone,Ivan Selesnick
Publisher : Springer
Page : 0 pages
File Size : 53,7 Mb
Release : 2024-02-10
Category : Technology & Engineering
ISBN : 303121238X

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Signal Processing in Medicine and Biology by Iyad Obeid,Joseph Picone,Ivan Selesnick Pdf

​Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.

Signal Processing in Medicine and Biology

Iyad Obeid,Joseph Picone,Ivan Selesnick
Signal Processing in Medicine and Biology Book PDF

Author : Iyad Obeid,Joseph Picone,Ivan Selesnick
Publisher : Springer Nature
Page : 152 pages
File Size : 51,7 Mb
Release : 2023-02-09
Category : Technology & Engineering
ISBN : 9783031212369

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Signal Processing in Medicine and Biology by Iyad Obeid,Joseph Picone,Ivan Selesnick Pdf

​Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science.

Biomedical Signal Processing and Artificial Intelligence in Healthcare

Walid A. Zgallai
Biomedical Signal Processing and Artificial Intelligence in Healthcare Book PDF

Author : Walid A. Zgallai
Publisher : Academic Press
Page : 268 pages
File Size : 47,8 Mb
Release : 2020-08-19
Category : Technology & Engineering
ISBN : 9780128189467

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Biomedical Signal Processing and Artificial Intelligence in Healthcare by Walid A. Zgallai Pdf

Biomedical Signal Processing with Artificial Intelligence, a new volume in the Developments in Biomedical Engineering and Bioelectronics series, covers the basics of analog and digital data and data acquisition. The book explains the role of smart sensors, smart materials and wearables in relation to biomedical signals. It also provides background to statistical analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Machine Learning, including Deep Learning, Neural Networks, and the implications of the expansion of artificial intelligence is also covered, as are biomedical images and their segmentation, classification and detection. This book covers all aspects of signals, from acquisition, the use of hardware and software, analyzing signals, and making use of AI in problem-solving. Developments in Biomedical Engineering and Bioelectronics is a 10-volume series which covers recent developments, trends and advances in this field. Edited by leading academics in the field, and taking a multidisciplinary approach, this series is a forum for cutting-edge, contemporary review articles and contributions from key 'up-and-coming' academics across the full subject area. Presents comprehensive coverage and the latest advances and applications in biomedical signal processing Contains contributions from recognized researchers and field leaders Includes online presentations, tutorials, applications and algorithm examples

Biomedical Signal Processing

Iyad Obeid,Ivan Selesnick,Joseph Picone
Biomedical Signal Processing Book PDF

Author : Iyad Obeid,Ivan Selesnick,Joseph Picone
Publisher : Springer Nature
Page : 261 pages
File Size : 44,6 Mb
Release : 2021-04-12
Category : Technology & Engineering
ISBN : 9783030674946

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Biomedical Signal Processing by Iyad Obeid,Ivan Selesnick,Joseph Picone Pdf

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.

Biomedical Signal and Image Processing with Artificial Intelligence

Chirag Paunwala,Mita Paunwala,Rahul Kher,Falgun Thakkar,Heena Kher,Mohammed Atiquzzaman,Norliza Mohd. Noor
Biomedical Signal and Image Processing with Artificial Intelligence Book PDF

Author : Chirag Paunwala,Mita Paunwala,Rahul Kher,Falgun Thakkar,Heena Kher,Mohammed Atiquzzaman,Norliza Mohd. Noor
Publisher : Springer Nature
Page : 423 pages
File Size : 49,6 Mb
Release : 2023-01-09
Category : Technology & Engineering
ISBN : 9783031158162

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Biomedical Signal and Image Processing with Artificial Intelligence by Chirag Paunwala,Mita Paunwala,Rahul Kher,Falgun Thakkar,Heena Kher,Mohammed Atiquzzaman,Norliza Mohd. Noor Pdf

This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.

Signal Processing in Medicine and Biology

Iyad Obeid,Ivan Selesnick,Joseph Picone
Signal Processing in Medicine and Biology Book PDF

Author : Iyad Obeid,Ivan Selesnick,Joseph Picone
Publisher : Springer Nature
Page : 287 pages
File Size : 41,5 Mb
Release : 2020-03-16
Category : Technology & Engineering
ISBN : 9783030368449

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Signal Processing in Medicine and Biology by Iyad Obeid,Ivan Selesnick,Joseph Picone Pdf

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson’s; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
Deep Learning Machine Learning and IoT in Biomedical and Health Informatics Book PDF

Author : Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
Publisher : CRC Press
Page : 407 pages
File Size : 54,8 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000534054

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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics by Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi Pdf

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems

Intelligent Data Analysis for Biomedical Applications

Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
Intelligent Data Analysis for Biomedical Applications Book PDF

Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
Publisher : Academic Press
Page : 294 pages
File Size : 52,9 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9780128156438

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Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas Pdf

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

Advanced Methods in Biomedical Signal Processing and Analysis

Kunal Pal,Samit Ari,Arindam Bit,Saugat Bhattacharyya
Advanced Methods in Biomedical Signal Processing and Analysis Book PDF

Author : Kunal Pal,Samit Ari,Arindam Bit,Saugat Bhattacharyya
Publisher : Academic Press
Page : 434 pages
File Size : 48,9 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9780323859547

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Advanced Methods in Biomedical Signal Processing and Analysis by Kunal Pal,Samit Ari,Arindam Bit,Saugat Bhattacharyya Pdf

Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. Gives advanced methods in signal processing Includes machine and deep learning methods Presents experimental case studies

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Abdulhamit Subasi
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques Book PDF

Author : Abdulhamit Subasi
Publisher : Academic Press
Page : 456 pages
File Size : 54,6 Mb
Release : 2019-03-16
Category : Business & Economics
ISBN : 9780128176733

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques by Abdulhamit Subasi Pdf

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series

Trends in Deep Learning Methodologies

Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Trends in Deep Learning Methodologies Book PDF

Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publisher : Academic Press
Page : 308 pages
File Size : 43,6 Mb
Release : 2020-11-12
Category : Computers
ISBN : 9780128232682

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Trends in Deep Learning Methodologies by Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava Pdf

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Biomedical Sensing and Analysis

Iyad Obeid,Joseph Picone,Ivan Selesnick
Biomedical Sensing and Analysis Book PDF

Author : Iyad Obeid,Joseph Picone,Ivan Selesnick
Publisher : Springer Nature
Page : 210 pages
File Size : 53,9 Mb
Release : 2022-07-19
Category : Technology & Engineering
ISBN : 9783030993832

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Biomedical Sensing and Analysis by Iyad Obeid,Joseph Picone,Ivan Selesnick Pdf

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), it examines the vital role signal processing plays in enabling a new generation of technology based on big data and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications.

Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning

Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi
Advances in Non Invasive Biomedical Signal Sensing and Processing with Machine Learning Book PDF

Author : Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi
Publisher : Springer Nature
Page : 385 pages
File Size : 41,5 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783031232398

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Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning by Saeed Mian Qaisar,Humaira Nisar,Abdulhamit Subasi Pdf

This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalities such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problem statement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors’ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.

Data Science and Its Applications

Aakanksha Sharaff,G R Sinha
Data Science and Its Applications Book PDF

Author : Aakanksha Sharaff,G R Sinha
Publisher : CRC Press
Page : 443 pages
File Size : 55,5 Mb
Release : 2021-08-18
Category : Computers
ISBN : 9781000414004

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Data Science and Its Applications by Aakanksha Sharaff,G R Sinha Pdf

The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.