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The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
  • Author : Dinesh Peter
  • Publsiher : Academic Press
  • Release : 14 March 2020
  • ISBN : 0128166096
  • Pages : 202 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKThe Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

Summary:
The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid. Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design


The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
  • Author : Dinesh Peter,Amir Alavi,Bahman Javadi,Steven L. Fernandes
  • Publisher : Academic Press
  • Release : 14 March 2020
GET THIS BOOKThe Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time

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Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
  • Author : Velayutham, Sathiyamoorthi
  • Publisher : IGI Global
  • Release : 29 January 2021
GET THIS BOOKChallenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and

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Disruptive Technologies for Big Data and Cloud Applications

Disruptive Technologies for Big Data and Cloud Applications
  • Author : J. Dinesh Peter,Steven Lawrence Fernandes,Amir H. Alavi
  • Publisher : Springer Nature
  • Release : 01 August 2022
GET THIS BOOKDisruptive Technologies for Big Data and Cloud Applications

This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities

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Advanced Practical Approaches to Web Mining Techniques and Application

Advanced Practical Approaches to Web Mining Techniques and Application
  • Author : Obaid, Ahmed J.,Polkowski, Zdzislaw,Bhushan, Bharat
  • Publisher : IGI Global
  • Release : 18 March 2022
GET THIS BOOKAdvanced Practical Approaches to Web Mining Techniques and Application

The rapid increase of web pages has introduced new challenges for many organizations as they attempt to extract information from a massive corpus of web pages. Finding relevant information, eliminating irregular content, and retrieving accurate results has become extremely difficult in today’s world where there is a surplus of information available. It is crucial to further understand and study web mining in order to discover the best ways to connect users with appropriate information in a timely manner. Advanced

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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
  • Author : Khalid Raza
  • Publisher : Springer Nature
  • Release : 16 October 2020
GET THIS BOOKComputational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems

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Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions

Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions
  • Author : Almaraz-Menéndez, Fernando,Maz-Machado, Alexander,López-Esteban, Carmen,Almaraz-López, Cristina
  • Publisher : IGI Global
  • Release : 27 May 2022
GET THIS BOOKStrategy, Policy, Practice, and Governance for AI in Higher Education Institutions

The digital transformation of higher education institutions has accelerated in the last decade due to the confluent development of digital technologies. Understanding how artificial intelligence-enabled changes and improvements in universities in relation to teaching, management, sustainability, and research allows researchers to understand the advances and identify the challenges that may arise. This knowledge provides technological instruments as well as cognitive, philosophical, and epistemological tools to address different current issues. Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions

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Artificial Intelligence and IoT

Artificial Intelligence and IoT
  • Author : Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
  • Publisher : Springer Nature
  • Release : 12 February 2021
GET THIS BOOKArtificial Intelligence and IoT

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few

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Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
  • Author : E. S. Gopi
  • Publisher : Springer Nature
  • Release : 28 May 2021
GET THIS BOOKMachine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The

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Metaheuristics in Machine Learning: Theory and Applications

Metaheuristics in Machine Learning: Theory and Applications
  • Author : Diego Oliva
  • Publisher : Springer Nature
  • Release : 09 August 2022
GET THIS BOOKMetaheuristics in Machine Learning: Theory and Applications

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is

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Multimedia Computing Systems and Virtual Reality

Multimedia Computing Systems and Virtual Reality
  • Author : Rajeev Tiwari,Neelam Duhan,Mamta Mittal,Abhineet Anand,Muhammad Attique Khan
  • Publisher : CRC Press
  • Release : 06 April 2022
GET THIS BOOKMultimedia Computing Systems and Virtual Reality

Most events and activities in today's world are ordinarily captured using photos, videos and other multimedia content. Such content has some limitation of storing data and fetching them effectively. Three-dimensional continuous PC animation is the most proper media to simulate these occasions and activities. This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent advancements in multimedia systems as they relate to various application areas such as healthcare

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Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT

Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT
  • Author : Valentina E. Balas,G. R. Sinha,Basant Agarwal,Tarun Kumar Sharma,Pankaj Dadheech,Mehul Mahrishi
  • Publisher : Springer Nature
  • Release : 26 June 2022
GET THIS BOOKEmerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT

This book constitutes the refereed proceedings of the 5th International Conference on Emerging Technologies in Computer Engineering, ICETCE 2021, held in Jaipur, India, in February 2022. The 40 revised full papers along with 20 short papers presented were carefully reviewed and selected from 235 submissions. The papers are organized according to the following topical headings: ​cognitive computing; Internet of Things (IoT); machine learning and applications; soft computing; data science and big data analytics; blockchain and cyber security.

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

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Internet of Things (IoT)

Internet of Things (IoT)
  • Author : Mansaf Alam,Kashish Ara Shakil,Samiya Khan
  • Publisher : Springer Nature
  • Release : 25 May 2020
GET THIS BOOKInternet of Things (IoT)

This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Additionally, the book provides future research directions in this domain, and explores the different applications of IoT and its associated technologies. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management. This book will appeal to students, practitioners, industry professionals and researchers working in the

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Driving the Development, Management, and Sustainability of Cognitive Cities

Driving the Development, Management, and Sustainability of Cognitive Cities
  • Author : Ahuja, Kiran,Khosla, Arun
  • Publisher : IGI Global
  • Release : 03 May 2019
GET THIS BOOKDriving the Development, Management, and Sustainability of Cognitive Cities

The technological advancements of today not only affect individual’s personal lives. They also affect the way urban communities regard the improvement of their resident’s lives. Research involving these autonomic reactions to the growing needs of the people is desperately needed to transform the cities of today into the cities of the future. Driving the Development, Management, and Sustainability of Cognitive Cities is a pivotal reference source that explores and improves the understanding of the strategic role of sustainable

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Security and Trust Issues in Internet of Things

Security and Trust Issues in Internet of Things
  • Author : Sudhir Kumar Sharma,Bharat Bhushan,Bhuvan Unhelkar
  • Publisher : CRC Press
  • Release : 03 December 2020
GET THIS BOOKSecurity and Trust Issues in Internet of Things

The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT, from smart manufacturing to unmanned aerial vehicles. Thise book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. Thise book initiates conversations among technologists, engineers, scientists, and

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