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Deep Learning And Parallel Computing Environment For Bioengineering Systems

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Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems Book
Author : Arun Kumar Sangaiah
Publisher : Academic Press
Release : 2019-07-26
ISBN : 0128172932
Language : En, Es, Fr & De

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Book Description :

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas. Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data

Soft Computing for Intelligent Systems

Soft Computing for Intelligent Systems Book
Author : Nikhil Marriwala,C. C Tripathi,Shruti Jain,Shivakumar Mathapathi
Publisher : Springer Nature
Release : 2021-06-22
ISBN : 9811610487
Language : En, Es, Fr & De

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Book Description :

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

Deep Learning Applications in Medical Imaging

Deep Learning Applications in Medical Imaging Book
Author : Saxena, Sanjay,Paul, Sudip
Publisher : IGI Global
Release : 2020-10-16
ISBN : 1799850722
Language : En, Es, Fr & De

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Book Description :

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Deep Learning and Big Data for Intelligent Transportation

Deep Learning and Big Data for Intelligent Transportation Book
Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Release : 2021-04-10
ISBN : 3030656616
Language : En, Es, Fr & De

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Book Description :

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems Book
Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Release : 2021-01-15
ISBN : 1799866750
Language : En, Es, Fr & De

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Book Description :

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Computational Intelligence in Healthcare

Computational Intelligence in Healthcare Book
Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Publisher : Springer Nature
Release : 2021-05-11
ISBN : 3030687236
Language : En, Es, Fr & De

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Book Description :

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

Data Science

Data Science Book
Author : Jianchao Zeng,Pinle Qin,Weipeng Jing,Xianhua Song,Zeguang Lu
Publisher : Springer Nature
Release : 2021-09-10
ISBN : 9811659400
Language : En, Es, Fr & De

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Book Description :

This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.

Understanding COVID 19 The Role of Computational Intelligence

Understanding COVID 19  The Role of Computational Intelligence Book
Author : Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
Publisher : Springer Nature
Release : 2021-07-27
ISBN : 3030747611
Language : En, Es, Fr & De

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Book Description :

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.

PATTERN RECOGNITION

PATTERN RECOGNITION Book
Author : Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Mallikarjun M Kodabagi
Publisher : MileStone Research Publications
Release : 2021-08-01
ISBN : 9354931375
Language : En, Es, Fr & De

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Book Description :

This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part, the initial foundation aspects of pattern recognition is discussed with reference to probabilities role in influencing a pattern occurrence, pattern extraction and properties. Introduction: Definition of Pattern Recognition, Applications, Datasets for Pattern Recognition, Different paradigms for Pattern Recognition, Introduction to probability, events, random variables, Joint distributions and densities, moments. Estimation minimum risk estimators, problems. Representation: Data structures for Pattern Recognition, Representation of clusters, proximity measures, size of patterns, Abstraction of Data set, Feature extraction, Feature selection, Evaluation. Par t - II In Part - II of the text, the mathematical representation and computation algorithms for extracting and evaluating patterns are discussed. The basic algorithms of machine learning classifiers with Nearest neighbor and Naive Bayes is reported with value added validation process using decision trees. Computational Algorithms: Nearest neighbor algorithm, variants of NN algorithms, use of NN for transaction databases, efficient algorithms, Data reduction, prototype selection, Bayes theorem, minimum error rate classifier, estimation of probabilities, estimation of probabilities, comparison with NNC, Naive Bayesclassifier, Bayesian belief network. Decision Trees: Introduction, Decision Tree for Pattern Recognition, Construction of Decision Tree, Splittingat the nodes, Over-fitting& Pruning, Examples.

Artificial Intelligence Practical Approach

Artificial Intelligence  Practical Approach Book
Author : Syed Muzamil Basha,Syed Thouheed Ahmed,Santhosh Kumar M Naidu
Publisher : MileStone Research Publications
Release : 2022-03-14
ISBN : 9355660634
Language : En, Es, Fr & De

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Book Description :

The book introduces programming concepts through Python language. The simple syntax of Python makes it an ideal choice for learning programming. Because of the availability of extensive standard libraries and third-party support, it is rapidly evolving as the preferred programming language among the application developers. It will bolster your foundational skills in Artificial Intelligence. Make the most of our Expert Mentor-ship facility and gain a practical understanding of Artificial Intelligence and Machine Learning. Make the most of our real-world projects from diverse industries. The content in this book goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of Artificial Intelligence and Machine Learning. The steps in creating computers that are as fluent in human language as people has long been a goal for scientists and the general public. Human language communication both represents and challenges an intelligence, because while languages appear to follow some unseen rules of spelling and grammar. Systems that understand or use language, which we call ?Natural Language Processing? (NLP) systems, have been created by specifying algorithms for computers based on the observable regularities of language noted by experts.Use this book to learn the principles and methods of NLP to understand what it is, where it is useful, how to use it, and how it might be used people. The book includes the core topics of modern NLP, including an overview of the syntax and semantics of English, benchmark tasks for computational language modeling, and higher level tasks and applications that analyze or generate language, using both rule-based search and machine learning approaches. It takes the perspective of a computer scientist. The primary themes are abstraction, data, algorithms, applications and impacts. It also includes some history and trends that are important for understanding why things have been done in a certain way

Innovations in Smart Cities Applications Volume 4

Innovations in Smart Cities Applications Volume 4 Book
Author : Mohamed Ben Ahmed,İsmail Rakıp Karaș,Domingos Santos,Olga Sergeyeva,Anouar Abdelhakim Boudhir
Publisher : Springer Nature
Release : 2021-02-12
ISBN : 3030668401
Language : En, Es, Fr & De

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Book Description :

This proceedings book is the fourth edition of a series of works which features emergent research trends and recent innovations related to smart city presented at the 5th International Conference on Smart City Applications SCA20 held in Safranbolu, Turkey. This book is composed of peer-reviewed chapters written by leading international scholars in the field of smart cities from around the world. This book covers all the smart city topics including Smart Citizenship, Smart Education, Smart Mobility, Smart Healthcare, Smart Mobility, Smart Security, Smart Earth Environment & Agriculture, Smart Economy, Smart Factory and Smart Recognition Systems. This book contains a special section intended for Covid-19 pandemic researches. This book edition is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development.

Information and Communication Theory Source Coding Techniques Part II

Information and Communication Theory Source Coding Techniques Part II Book
Author : Syed Thouheed Ahmed,Syed Muzamil Basha
Publisher : MileStone Research Publications
Release : 2022-01-17
ISBN : 9355784848
Language : En, Es, Fr & De

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Book Description :

This handbook covers basic concepts of Information and mathematical theory that deals with the fundamental aspects of communication systems. The purpose of this Hand-Book is to develop the foundation ideas of information theory and to indicate where and how the theory can be applied in a real-time scenario and applications. The Handbook is categorized into two parts (PART - I & PART - II) The objectivesof this Handbook is to Explain the concepts of information source and entropy, Demonstrate the working of various Encoding Techniques, Discuss various source encoding algorithms, Illustrate the use of Cyclic and convolution codes. The readers reliability from this Handbook is to Build the basic concepts of information source and measure of information, Apply different Encoding Schemes for given applications, Develop the different Source Encoding Algorithm for given applications.

Artificial Intelligence in Industrial Applications

Artificial Intelligence in Industrial Applications Book
Author : Steven Lawrence Fernandes
Publisher : Springer Nature
Release : 2022-07-05
ISBN : 3030853837
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence in Industrial Applications book written by Steven Lawrence Fernandes, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Smart Sensors for Industrial Internet of Things

Smart Sensors for Industrial Internet of Things Book
Author : Deepak Gupta,Victor Hugo C. de Albuquerque,Ashish Khanna,Purnima Lala Mehta
Publisher : Springer Nature
Release : 2021-02-01
ISBN : 3030526240
Language : En, Es, Fr & De

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Book Description :

This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security. By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing Book
Author : Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Kiran Kumari Patil
Publisher : MileStone Research Publications
Release : 2021-09-05
ISBN : 9354738281
Language : En, Es, Fr & De

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Book Description :

Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment

Handbook on Information and Communication Theory Fundamental Approaches Techniques Part I

Handbook on Information and Communication Theory   Fundamental Approaches   Techniques   Part I Book
Author : Syed Muzamil Basha,Syed Thouheed Ahmed
Publisher : MileStone Research Publications
Release : 2021-11-08
ISBN : 9354932665
Language : En, Es, Fr & De

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Book Description :

This handbook covers basic concepts of Information and mathematical theory that deals with the fundamental aspects of communication systems. The purpose of this Hand-Book is to develop the foundation ideas of information theory and to indicate where and how the theory can be applied in a real-time scenario and applications. The Handbook is categorized into two parts (PART - I & PART - II) The objectivesof this Handbook is to Explain the concepts of information source and entropy, Demonstrate the working of various Encoding Techniques, Discuss various source encoding algorithms, Illustrate the use of Cyclic and convolution codes. The readers reliability from this Handbook is to Build the basic concepts of information source and measure of information, Apply different Encoding Schemes for given applications, Develop the different Source Encoding Algorithm for given applications.

Proceedings of International Conference on Computational Intelligence Data Science and Cloud Computing

Proceedings of International Conference on Computational Intelligence  Data Science and Cloud Computing Book
Author : Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal
Publisher : Springer Nature
Release : 2021
ISBN : 9813349689
Language : En, Es, Fr & De

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Book Description :

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Advances and Trends in Artificial Intelligence From Theory to Practice

Advances and Trends in Artificial Intelligence  From Theory to Practice Book
Author : Hamido Fujita,Ali Selamat,Jerry Chun-Wei Lin,Moonis Ali
Publisher : Springer Nature
Release : 2021
ISBN : 3030794636
Language : En, Es, Fr & De

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Book Description :

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction.

Educating Engineers for Future Industrial Revolutions

Educating Engineers for Future Industrial Revolutions Book
Author : Michael E. Auer,Tiia Rüütmann
Publisher : Springer Nature
Release : 2021-03-13
ISBN : 3030682013
Language : En, Es, Fr & De

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Book Description :

This book contains papers in the fields of engineering pedagogy education, public–private partnership and entrepreneurship education, research in engineering pedagogy, evaluation and outcomes assessment, Internet of Things & online laboratories, IT & knowledge management in education and real-world experiences. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. To face these challenges, higher education has to find innovative ways to quickly respond to these new needs. There is also pressure by the new situation in regard to the Covid pandemic. These were the aims connected with the 23rd International Conference on Interactive Collaborative Learning (ICL2020), which was held online by University of Technology Tallinn, Estonia from 23 to 25 September 2020. Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning. Nowadays the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in Learning and Engineering Pedagogy. In this way, we try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, learning industry, further and continuing education lecturers, etc.