Deep Learning Innovations And Their Convergence With Big Data

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Deep Learning Innovations And Their Convergence With Big Data

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Author : Karthik, S.
language : en
Publisher: IGI Global
Release Date : 2017-07-13

Deep Learning Innovations And Their Convergence With Big Data written by Karthik, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-13 with Computers categories.

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Deep Learning And Neural Networks Concepts Methodologies Tools And Applications

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-10-11

Deep Learning And Neural Networks Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Computers categories.

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Handbook Of Research On Big Data Storage And Visualization Techniques

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Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2018-01-05

Handbook Of Research On Big Data Storage And Visualization Techniques written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Computers categories.

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Deep Learning Innovations For Securing Critical Infrastructures

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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18

Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.

Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.

Predictive Analysis On Large Data For Actionable Knowledge Emerging Research And Opportunities

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Author : Usman, Muhammad
language : en
Publisher: IGI Global
Release Date : 2018-01-26

Predictive Analysis On Large Data For Actionable Knowledge Emerging Research And Opportunities written by Usman, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-26 with Computers categories.

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.

Data Science With Semantic Technologies

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Author : Archana Patel
language : en
Publisher: CRC Press
Release Date : 2023-06-20

Data Science With Semantic Technologies written by Archana Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.

Proceedings Of The International Conference On Innovation Entrepreneurship In Computing Engineering Science Education Invent 2024

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Author : Nur Atiqah Sia Abdullah
language : en
Publisher: Springer Nature
Release Date : 2024-11-29

Proceedings Of The International Conference On Innovation Entrepreneurship In Computing Engineering Science Education Invent 2024 written by Nur Atiqah Sia Abdullah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.

This is an open access book. Universiti Teknologi MARA is proud to host the International Conference on Innovation and Entrepreneurship in Computing, Engineering, and Science Education 2024, or in short, InvENT2024, a signature programme of the Asia Technological University Network (ATU-Net), which was inaugurated in 2023 in Brunei. This event will also be co-hosted by the University of Science and Technology of the Southern Philippine (USTP). The event will be held in Shah Alam, the capital of Selangor, between 20 and 22 August 2024. The theme of the event is Converging Innovation with Soul: AI in Entrepreneurship, Technology, and Education. The theme was selected in accordance with the growing concern about the fast-growing development of AI, which has now transcended almost every aspect of living. The AI industry itself is said to be a capital that can boost the Malaysian economy. As it grows, it raises questions about itself and our future in this world. This event is therefore set up as a platform that will collate information from academics, industry, and government sectors through powerful speeches, informative exhibitions, and paper presentations on AI use and development in computing, engineering, science, and entrepreneurship. A special highlight will be the plenary on the first day and the officiating speech by the Malaysian Prime Minister, the YAB Dato’ Seri Anwar Ibrahim, whose speech will be about integrating and guiding AI into civilized society as prescribed in Malaysia’s National Artificial Intelligence (AI) Roadmap 2021-2025. The second-day plenary will be by a well-known and much-respected AI proponent and editor-in-chief of a few respected peer-reviewed journals, Prof. Dr. Hamido Fujita, who will be talking about AI technology, innovation, application, and education. Join us to learn more about AI.

Technologies And Innovation

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Author : Rafael Valencia-García
language : en
Publisher: Springer Nature
Release Date : 2024-10-25

Technologies And Innovation written by Rafael Valencia-García and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.

This book constitutes the refereed proceedings of the 10th International Conference on Technologies and Innovation, CITI 2024, held in Guayaquil, Ecuador, during November 2024. The 15 full papers presented in this volume were carefully reviewed and selected from 38 submissions. These papers have been organized under the following topical sections: Artificial intelligence in Agriculture; Natural language processing and semantic web; Machine learning; Software tools.

Visibilities And Invisibilities In Smart Cities Emerging Research And Opportunities

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Author : McKenna, H. Patricia
language : en
Publisher: IGI Global
Release Date : 2021-06-11

Visibilities And Invisibilities In Smart Cities Emerging Research And Opportunities written by McKenna, H. Patricia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Political Science categories.

Throughout history, humanity has sought the betterment of its communities. In the 21st century, humanity has technology on its side in the process of improving its cities. Smart cities make their improvements by gathering real-world data in real time. Still, there are many complexities that many do not catch—they are invisible. It is important to understand how people make sense at the urban level and in extra-urban spaces of the combined complexities of invisibilities and visibilities in their environments, interactions, and infrastructures enabled through their own enhanced awareness together with aware technologies that are often embedded, pervasive, and ambient. This book probes the visible and invisible dimensions of emerging understandings of smart cities and regions in the context of more aware people interacting with each other and through more aware and pervasive technologies. Visibilities and Invisibilities in Smart Cities: Emerging Research and Opportunities contributes to the research literature for urban theoretical spaces, methodologies, and applications for smart and responsive cities; the evolving of urban theory and methods for 21st century cities and urbanities; and the formulation of a conceptual framework for associated methodologies and theoretical spaces. This work explores the relationships between variables using a case study approach combined with an explanatory correlational design. It is based on an urban research study conducted from mid-2015 to mid-2020 that spanned multiple countries across three continents. The book is split into four sections: introduction to the concepts of visible and invisible, frameworks for understanding the interplay of the two concepts, associated and evolving theory and methods, and extending current research as opportunities in smart city environments and regions. Covering topics including human geography, smart cities, and urban planning, this book is essential for urban planners, designers, city officials, community agencies, business managers and owners, academicians, researchers, and students, including those who work across multiple domains such as architecture, environmental design, human-computer interaction, human geography, information technology, sociology, and affective computing.

Predictive Modelling For Energy Management And Power Systems Engineering

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Author : Ravinesh Deo
language : en
Publisher: Elsevier
Release Date : 2020-09-30

Predictive Modelling For Energy Management And Power Systems Engineering written by Ravinesh Deo and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Technology & Engineering categories.

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. - Presents advanced optimization techniques to improve existing energy demand system - Provides data-analytic models and their practical relevance in proven case studies - Explores novel developments in machine-learning and artificial intelligence applied in energy management - Provides modeling theory in an easy-to-read format