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Cloud-based Multi-Modal Information Analytics

Cloud-based Multi-Modal Information Analytics
Author: Srinidhi Hiriyannaiah
Publisher: CRC Press
Total Pages: 181
Release: 2023-06-29
Genre: Computers
ISBN: 1000880427

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Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas


Cloud Based Multi-modal Information Analytics

Cloud Based Multi-modal Information Analytics
Author: Srinidhi Hiriyannaiah
Publisher: Chapman & Hall/CRC
Total Pages: 0
Release: 2023
Genre: Cloud computing
ISBN: 9781032493138

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"Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. The various application areas that are image-centric and video are also presented with deployment solutions in the cloud"--


Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
Author: Vijayan Sugumaran
Publisher: Springer Nature
Total Pages: 1075
Release: 2022-05-07
Genre: Technology & Engineering
ISBN: 3031052374

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This book provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. Specifically, it addresses a number of broad themes, including multimodal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.


Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
Author: Vijayan Sugumaran
Publisher: Springer Nature
Total Pages: 870
Release: 2020-07-20
Genre: Technology & Engineering
ISBN: 3030515567

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This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.


Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
Author: Vijayan Sugumaran
Publisher: Springer Nature
Total Pages: 815
Release: 2020-07-23
Genre: Technology & Engineering
ISBN: 3030514315

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This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field.


Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
Author: Vijayan Sugumaran
Publisher: Springer Nature
Total Pages: 955
Release: 2021-04-20
Genre: Technology & Engineering
ISBN: 3030748111

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This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23–24, 2021.


Application of Intelligent Systems in Multi-modal Information Analytics

Application of Intelligent Systems in Multi-modal Information Analytics
Author: Vijayan Sugumaran
Publisher: Springer Nature
Total Pages: 1132
Release: 2022-06-13
Genre: Technology & Engineering
ISBN: 3031054849

Download Application of Intelligent Systems in Multi-modal Information Analytics Book in PDF, ePub and Kindle

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.


Business in the Cloud

Business in the Cloud
Author: Michael H. Hugos
Publisher: John Wiley & Sons
Total Pages: 228
Release: 2010-11-02
Genre: Business & Economics
ISBN: 0470616237

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A close look at cloud computing's transformational role in business Covering cloud computing from what the business leader needs to know, this book describes how IT can nimbly ramp up revenue initiatives, positively impact business operations and costs, and how this allows business leaders to shed worry about technology so they can focus on their business. It also reveals the cloud's effect on corporate organization structures, the evolution of traditional IT in the global economy, potential benefits and risks of cloud models and most importantly, how the IT function is being rethought by companies today who are making room for the coming tidal wave that is cloud computing. Why IT and business thinking must change to capture the full potential of cloud computing Topics including emerging cloud solutions, data security, service reliability, the new role of IT and new business organization structures Other titles by Hugos include: Business Agility: Sustainable Prosperity in a Relentlessly Competitive World and Essentials of Supply Chain Management, 2nd Edition Practical and timely, this book reveals why it's worth every company's time and effort to exploit cloud computing's potential for their business's survival and success.


Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
Author: Rao, Ram Shringar
Publisher: IGI Global
Total Pages: 312
Release: 2020-09-11
Genre: Computers
ISBN: 1799827666

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Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.


Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics
Author: Himansu Das
Publisher: Springer
Total Pages: 289
Release: 2018-12-11
Genre: Technology & Engineering
ISBN: 3030033597

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This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.