Cognitive Big Data Intelligence With A Metaheuristic Approach

Author : Sushruta Mishra
Publisher : Academic Press
ISBN 13 : 0323851185
Total Pages : 374 pages
Book Rating : 4.83/5 ( download)

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Download or read book Cognitive Big Data Intelligence with a Metaheuristic Approach written by Sushruta Mishra and published by Academic Press. This book was released on 2021-11-09 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems

Author : Judith S. Hurwitz
Publisher : John Wiley & Sons
ISBN 13 : 1118896637
Total Pages : 288 pages
Book Rating : 4.31/5 ( download)

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Download or read book Cognitive Computing and Big Data Analytics written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2015-02-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Author : Rik Das
Publisher : CRC Press
ISBN 13 : 1000929620
Total Pages : 140 pages
Book Rating : 4.21/5 ( download)

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Download or read book Era of Artificial Intelligence written by Rik Das and published by CRC Press. This book was released on 2023-07-10 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text has attempted to collate quality research articles ranging from A Mathematical Disposition for Neural Nets, to Cognitive Computing, to Quantum Machine Learning, to a Multimodal Emotion Recognition System, to Responsible AI, to AI for Accessibility and Inclusion, to Artificial-Enabled Intelligence Enabled Applications in the sectors of Health, Pharma and Education. Features Focus on AI research and interdisciplinary research that exhibits AI inclusion to a greater degree Focus on application of disruptive technology in the context of the twenty-first century human and machine approach Focus on role of disruptive technology such as cognitive computing, quantum machine learning, IOT enabled-recognition systems Focus on unravelling the powerful features of artificial intelligence for societal benefits including accessibility This volume will cater as a ready reference to an individual’s quest for deep diving into the ocean of artificial intelligence-enabled solution approaches. The book will serve as a useful reference for researchers, innovators, academicians, entrepreneurs, and professionals aspiring to gain expertise in the domain of cognitive and quantum computing, IOT-enabled intelligent systems and so on.

Author : Ika Hesti Agustin
Publisher : Springer Nature
ISBN 13 : 9464631740
Total Pages : 346 pages
Book Rating : 4.46/5 ( download)

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Download or read book Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022) written by Ika Hesti Agustin and published by Springer Nature. This book was released on 2023-05-20 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. The 1st ICONNSMAL 2022 was held at CGANT Research Group the University of Jember, Jember, East-Java, Indonesia.

Author : Hiren Kumar Thakkar
Publisher : Springer Nature
ISBN 13 : 3031180348
Total Pages : 252 pages
Book Rating : 4.47/5 ( download)

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Download or read book Predictive Analytics in Cloud, Fog, and Edge Computing written by Hiren Kumar Thakkar and published by Springer Nature. This book was released on 2022-12-16 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G. Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices. The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.

Author : D. Sumathi
Publisher : John Wiley & Sons
ISBN 13 : 1119771978
Total Pages : 420 pages
Book Rating : 4.75/5 ( download)

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Download or read book Cognitive Intelligence and Big Data in Healthcare written by D. Sumathi and published by John Wiley & Sons. This book was released on 2022-08-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications. This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area. Audience The book will be very useful to a wide range of specialists including researchers, engineers, and postgraduate students in artificial intelligence, bioinformatics, information technology, as well as those in biomedicine.

Author : Pijush Dutta
Publisher : CRC Press
ISBN 13 : 1000864197
Total Pages : 295 pages
Book Rating : 4.99/5 ( download)

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Download or read book Artificial Intelligence for Cognitive Modeling written by Pijush Dutta and published by CRC Press. This book was released on 2023-04-19 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Author : Sanjay Chakraborty
Publisher : Springer Nature
ISBN 13 : 9811980047
Total Pages : 230 pages
Book Rating : 4.46/5 ( download)

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Download or read book Computing for Data Analysis: Theory and Practices written by Sanjay Chakraborty and published by Springer Nature. This book was released on 2023-02-04 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.

Author : Arun Kumar Sangaiah
Publisher : Springer
ISBN 13 : 3319706888
Total Pages : 375 pages
Book Rating : 4.87/5 ( download)

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Download or read book Cognitive Computing for Big Data Systems Over IoT written by Arun Kumar Sangaiah and published by Springer. This book was released on 2017-12-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Author : Walter Timo de Vries
Publisher : CRC Press
ISBN 13 : 1000996476
Total Pages : 551 pages
Book Rating : 4.70/5 ( download)

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Download or read book Geospatial Science for Smart Land Management written by Walter Timo de Vries and published by CRC Press. This book was released on 2023-12-27 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responsible land distribution in Asia, with ever-increasing limitations in space, requires the use of smart technologies, sophisticated models, intelligent algorithms, and big data repositories. This book presents new land management perspectives and fit-for-purpose, flexible, dynamic, and effective solutions for land management and land administration problems. Written by global experts from different Asian countries, including China, India, Indonesia, Iran, Japan, South Korea, Thailand, Vietnam, etc., all these cases demonstrate how and why the uptake of geospatial technologies is booming and how to handle land scarcity and competing spatial interests in both urban and rural areas in Asia. FEATURES Summarizes trends of geospatial technologies in Asia Describes and applies leading-edge geospatial models Explains fit-for-purpose digital land administration Provides case studies and examples that include the use of smart land management tools Helps readers advance their understanding of geospatial and land management science Truly an interdisciplinary book, this text is a practical guide for an array of readers, such as practitioners in public and private companies involved in both geospatial and land management applications, as well as graduate students, researchers, academics, and professionals working in land administration, land management, spatial planning, real estate studies, geosciences, geoinformatics, and geodesy.