Multi Disciplinary Applications Of Fog Computing Responsiveness In Real Time

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Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time

Acharjya, Debi Prasanna,P., Kauser Ahmed
Multi Disciplinary Applications of Fog Computing Responsiveness in Real Time Book PDF

Author : Acharjya, Debi Prasanna,P., Kauser Ahmed
Publisher : IGI Global
Page : 300 pages
File Size : 44,9 Mb
Release : 2023-08-03
Category : Computers
ISBN : 9781668444689

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Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time by Acharjya, Debi Prasanna,P., Kauser Ahmed Pdf

Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also address challenges such as data management, scalability, regulations, interoperability, device network human interfaces, security, and privacy. Further study on these applications is required to ensure this technology is utilized appropriately. Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time focuses on fog computing problems and solutions for various applications and covers the new approaches, architecture, and theoretical foundations in the fog paradigm of storage, communication, and computing. The book explores recent trends and challenges that lead to a potential course for the ideas, practices, norms, and strategies related to fog computing. Covering key topics such as data privacy, data analytics, and the internet of things, this reference work is ideal for computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Biju, Soly Mathew,Mishra, Ashutosh,Kumar, Manoj
Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science Book PDF

Author : Biju, Soly Mathew,Mishra, Ashutosh,Kumar, Manoj
Publisher : IGI Global
Page : 321 pages
File Size : 40,9 Mb
Release : 2023-09-13
Category : Computers
ISBN : 9781668486986

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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science by Biju, Soly Mathew,Mishra, Ashutosh,Kumar, Manoj Pdf

The world is approaching a point where big data will start to play a beneficial role in many industries and organizations. Today, analyzing data for new insights has become an everyday norm, increasing the need for data analysts to use efficient and appropriate tools to provide quick and valuable results to clients. Existing research in the field currently lacks a full coverage of all essential algorithms, leaving a knowledge void for practical implementation and code in Python with all needed libraries and links to datasets used. Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science serves as a one-stop book to help emerging data scientists gain hands-on skills needed through real-world data and completely up-to-date Python code. It covers all the technical details, from installing the needed software to importing libraries and using the latest data sets; deciding on the right model; training, testing, and evaluating the model; and including NumPy, Pandas, and matplotlib. With coverage on various machine learning algorithms like regression, linear and logical regression, classification, support vector machine (SVM), clustering, k-nearest neighbor, market basket analysis, Apriori, k-means clustering, and visualization using Seaborne, it is designed for academic researchers, undergraduate students, postgraduate students, executive education program leaders, and practitioners.

Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media

Keikhosrokiani, Pantea,Pourya Asl, Moussa
Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media Book PDF

Author : Keikhosrokiani, Pantea,Pourya Asl, Moussa
Publisher : IGI Global
Page : 395 pages
File Size : 42,6 Mb
Release : 2022-12-30
Category : Computers
ISBN : 9781668462447

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Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media by Keikhosrokiani, Pantea,Pourya Asl, Moussa Pdf

Artificial intelligence has been utilized in a diverse range of industries as more people and businesses discover its many uses and applications. A current field of study that requires more attention, as there is much opportunity for improvement, is the use of artificial intelligence within literary works and social media analysis. The Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works and social media and introduces current approaches, techniques, and practices in data science that are implemented to scrap and analyze text data. This book initiates a new multidisciplinary field that is the combination of artificial intelligence, data science, social science, literature, and social media study. Covering key topics such as opinion mining, sentiment analysis, and machine learning, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development

Mishra, Brojo Kishore
Handbook of Research on Applications of AI Digital Twin and Internet of Things for Sustainable Development Book PDF

Author : Mishra, Brojo Kishore
Publisher : IGI Global
Page : 565 pages
File Size : 48,5 Mb
Release : 2023-02-17
Category : Computers
ISBN : 9781668468234

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Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development by Mishra, Brojo Kishore Pdf

The rapid growth and capability of artificial intelligence, digital twin, and the internet of things are unlocking incredible opportunities to overcome some of the greatest environmental and social impact challenges currently facing the global community, such as feeding a growing population, safety, affordable housing, and environmental sustainability. The Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development provides an interdisciplinary platform encompassing research on the potential opportunities and risks of reaching sustainable development using artificial intelligence, digital twin, and the internet of things. Covering key topics such as big data, environmental protection, and smart cities, this major reference work is ideal for computer scientists, industry professionals, researchers, scholars, academicians, librarians, policymakers, practitioners, educators, and students.

Applying AI-Based IoT Systems to Simulation-Based Information Retrieval

Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet
Applying AI Based IoT Systems to Simulation Based Information Retrieval Book PDF

Author : Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet
Publisher : IGI Global
Page : 249 pages
File Size : 45,6 Mb
Release : 2023-05-01
Category : Computers
ISBN : 9781668452561

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Applying AI-Based IoT Systems to Simulation-Based Information Retrieval by Madhulika, Bhatia,Surabhi, Bhatia,Tanwar, Poonam,Kaur, Kuljeet Pdf

Communication based on the internet of things (IoT) generates huge amounts of data from sensors over time, which opens a wide range of applications and areas for researchers. The application of analytics, machine learning, and deep learning techniques over such a large volume of data is a very challenging task. Therefore, it is essential to find patterns, retrieve novel insights, and predict future behavior using this large amount of sensory data. Artificial intelligence (AI) has an important role in facilitating analytics and learning in the IoT devices. Applying AI-Based IoT Systems to Simulation-Based Information Retrieval provides relevant frameworks and the latest empirical research findings in the area. It is ideal for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society and trust at the levels of the global economy, networks and organizations, teams and work groups, information systems, and individuals as actors in the networked environments. Covering topics such as blockchain visualization, computer-aided drug discovery, and health monitoring, this premier reference source is an excellent resource for business leaders and executives, IT managers, security professionals, data scientists, students and faculty of higher education, librarians, hospital administrators, researchers, and academicians.

Deterministic and Stochastic Approaches in Computer Modeling and Simulation

Romansky, Radi Petrov,Hinov, Nikolay Lyuboslavov
Deterministic and Stochastic Approaches in Computer Modeling and Simulation Book PDF

Author : Romansky, Radi Petrov,Hinov, Nikolay Lyuboslavov
Publisher : IGI Global
Page : 527 pages
File Size : 40,6 Mb
Release : 2023-10-09
Category : Computers
ISBN : 9781668489499

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Deterministic and Stochastic Approaches in Computer Modeling and Simulation by Romansky, Radi Petrov,Hinov, Nikolay Lyuboslavov Pdf

In the field of computer modeling and simulation, academic scholars face a pressing challenge—how to navigate the complex landscape of both deterministic and stochastic approaches to modeling. This multifaceted arena demands a unified organizational framework, a comprehensive guide that can seamlessly bridge the gap between theory and practical application. Without such a resource, scholars may struggle to harness the full potential of computer modeling, leaving critical questions unanswered and innovative solutions undiscovered. Deterministic and Stochastic Approaches in Computer Modeling and Simulation serves as the definitive solution to the complex problem scholars encounter. By presenting a comprehensive and unified organizational approach, this book empowers academics to conquer the challenges of computer modeling with confidence. It not only provides a classification of modeling methods but also offers a formalized, step-by-step approach to conducting model investigations, starting from defining objectives to analyzing experimental results. For academic scholars seeking a holistic understanding of computer modeling, this book is the ultimate solution. It caters to the diverse needs of scholars by addressing both deterministic and stochastic approaches. Through its structured chapters, it guides readers from the very basics of computer systems investigation to advanced topics like stochastic analytical modeling and statistical modeling.

Scalable and Distributed Machine Learning and Deep Learning Patterns

Thomas, J. Joshua,Harini, S.,Pattabiraman, V.
Scalable and Distributed Machine Learning and Deep Learning Patterns Book PDF

Author : Thomas, J. Joshua,Harini, S.,Pattabiraman, V.
Publisher : IGI Global
Page : 315 pages
File Size : 51,5 Mb
Release : 2023-08-25
Category : Computers
ISBN : 9781668498057

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Scalable and Distributed Machine Learning and Deep Learning Patterns by Thomas, J. Joshua,Harini, S.,Pattabiraman, V. Pdf

Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training and serving of machine learning models, reduce time and costs, and address bottlenecks in the system during concurrent model training and inference. The book covers various topics related to distributed machine learning such as data parallelism, model parallelism, and hybrid parallelism. Readers will learn about cutting-edge parallel techniques for serving and training models such as parameter server and all-reduce, pipeline input, intra-layer model parallelism, and a hybrid of data and model parallelism. The book is suitable for machine learning professionals, researchers, and students who want to learn about distributed machine learning techniques and apply them to their work. This book is an essential resource for advancing knowledge and skills in artificial intelligence, deep learning, and high-performance computing. The book is suitable for computer, electronics, and electrical engineering courses focusing on artificial intelligence, parallel computing, high-performance computing, machine learning, and its applications. Whether you're a professional, researcher, or student working on machine and deep learning applications, this book provides a comprehensive guide for creating distributed machine learning, including multi-node machine learning systems, using Python development experience. By the end of the book, readers will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training, all while saving time and costs.

Recent Developments in Machine and Human Intelligence

Rajest, S. Suman,Singh, Bhopendra,J. Obaid, Ahmed,Regin, R.,Chinnusamy, Karthikeyan
Recent Developments in Machine and Human Intelligence Book PDF

Author : Rajest, S. Suman,Singh, Bhopendra,J. Obaid, Ahmed,Regin, R.,Chinnusamy, Karthikeyan
Publisher : IGI Global
Page : 383 pages
File Size : 50,7 Mb
Release : 2023-09-11
Category : Computers
ISBN : 9781668491911

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Recent Developments in Machine and Human Intelligence by Rajest, S. Suman,Singh, Bhopendra,J. Obaid, Ahmed,Regin, R.,Chinnusamy, Karthikeyan Pdf

Establishing the means to improve performance in healthy, clinical, and military populations has long been a focus of study in the psychological and brain sciences. However, a major obstacle to this goal is generating individualized performance phenotypes that allow for the design of interventions that are tailored to the specific needs of the individual. Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. Corollary developments in AI have proven that combining domain expertise and stakeholder insights can considerably improve AI’s quality, performance, and dependability in the psychology and brain sciences. Recent Developments in Machine and Human Intelligence studies original empirical work, literature reviews, and methodological papers that establish and validate precision AI methods for human performance optimization with a focus on modeling individual differences via state-of-the-art computational methods and investigating how domain expertise and human judgment can improve the performance of AI methods. The topics are crafted in such a way as to cover all the areas of artificial and human intelligence that require AI for further development. This book contains algorithms and techniques that are explained with the help of developed source code and encompasses the readiness and needs for advancements in managing yet another pandemic in the future. It is designed for academicians, scientists, research scholars, professors, graduates, undergraduates, and students.

Advances in Artificial and Human Intelligence in the Modern Era

Rajest, S. Suman,Singh, Bhopendra,Obaid, Ahmed J.,Regin, R.,Chinnusamy, Karthikeyan
Advances in Artificial and Human Intelligence in the Modern Era Book PDF

Author : Rajest, S. Suman,Singh, Bhopendra,Obaid, Ahmed J.,Regin, R.,Chinnusamy, Karthikeyan
Publisher : IGI Global
Page : 433 pages
File Size : 46,6 Mb
Release : 2023-09-11
Category : Computers
ISBN : 9798369313022

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Advances in Artificial and Human Intelligence in the Modern Era by Rajest, S. Suman,Singh, Bhopendra,Obaid, Ahmed J.,Regin, R.,Chinnusamy, Karthikeyan Pdf

In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising demand. Advances in Artificial and Human Intelligence in the Modern Era present a transformative solution to tackle the prevailing challenges at the intersection of AI and human performance enhancement. This book delves deeply into the latest empirical research, literature reviews, and methodological advancements to introduce precision AI techniques for personalized interventions. By examining how the amalgamation of domain expertise and human insights can enhance AI performance, the book establishes a comprehensive framework for modeling individual distinctions and devising effective, tailored AI approaches. Tailored for academic scholars and researchers in psychological and brain sciences, computer science, and related fields, this book provides a comprehensive exploration of pioneering advancements in the convergence of artificial and human intelligence. Its diverse chapters encompass a wide array of topics, including the identification of mental health concerns, integration of human intelligence into AI tools, enhancement of reliability, and exploration of data standards. As it fuses expertise from these two disciplines, the book paves the way for a new era of personalized interventions with the potential to revolutionize human cognitive enhancement, training, and overall well-being.

Handbook of Research on Advancements in AI and IoT Convergence Technologies

Zhao, Jingyuan,Kumar, V. Vinoth,Natarajan, Rajesh,Mahesh, T.R.
Handbook of Research on Advancements in AI and IoT Convergence Technologies Book PDF

Author : Zhao, Jingyuan,Kumar, V. Vinoth,Natarajan, Rajesh,Mahesh, T.R.
Publisher : IGI Global
Page : 395 pages
File Size : 47,6 Mb
Release : 2023-09-05
Category : Computers
ISBN : 9781668469729

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Handbook of Research on Advancements in AI and IoT Convergence Technologies by Zhao, Jingyuan,Kumar, V. Vinoth,Natarajan, Rajesh,Mahesh, T.R. Pdf

Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care. The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Innovation, Strategy, and Transformation Frameworks for the Modern Enterprise

Correia, Anacleto,Agua, Pedro B.
Innovation Strategy and Transformation Frameworks for the Modern Enterprise Book PDF

Author : Correia, Anacleto,Agua, Pedro B.
Publisher : IGI Global
Page : 451 pages
File Size : 50,7 Mb
Release : 2023-10-11
Category : Business & Economics
ISBN : 9798369304594

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Innovation, Strategy, and Transformation Frameworks for the Modern Enterprise by Correia, Anacleto,Agua, Pedro B. Pdf

Many organizations struggle to advance their businesses due to a lack of knowledge of innovative strategies and ways to transform their business to remain relevant. Innovation, Strategy, and Transformation Frameworks for the Modern Enterprise is a comprehensive guide that equips organizations with the necessary tools to thrive in today's complex and ever-changing business landscape. This book explores a wide range of frameworks and their applications, providing practical insights and theoretical discussions to facilitate successful innovation, strategic planning, and digital transformation. The book begins by introducing the concept of frameworks in contemporary businesses. It emphasizes their importance as organized and methodical techniques for solving difficulties, managing processes, and making informed decisions based on accurate information. These frameworks cover various domains, including enterprise architecture, IT service management, business process management, project management, IT governance, agile methodologies, and innovation. By incorporating these frameworks, organizations can establish a strong foundation and adapt effectively to the rapidly evolving business environment. Designed for a wide range of readers, including educators, policymakers, researchers, consultants, IT professionals, and students, this book serves as an invaluable resource for those seeking to harness the power of frameworks to drive innovation, implement effective strategies, and navigate the complexities of digital transformation in today's fast-paced business environment. It provides a comprehensive understanding of the various frameworks, their implementations, and their potential to shape the future of business, government, and academia.

Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning

Kumar, D. Satish,Maniiarasan, P.
Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning Book PDF

Author : Kumar, D. Satish,Maniiarasan, P.
Publisher : IGI Global
Page : 386 pages
File Size : 55,7 Mb
Release : 2023-09-25
Category : Computers
ISBN : 9781668489765

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Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning by Kumar, D. Satish,Maniiarasan, P. Pdf

Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.

Fog Computing in the Internet of Things

Amir M. Rahmani,Pasi Liljeberg,Jürgo-Sören Preden,Axel Jantsch
Fog Computing in the Internet of Things Book PDF

Author : Amir M. Rahmani,Pasi Liljeberg,Jürgo-Sören Preden,Axel Jantsch
Publisher : Springer
Page : 172 pages
File Size : 40,5 Mb
Release : 2017-05-29
Category : Technology & Engineering
ISBN : 9783319576398

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Fog Computing in the Internet of Things by Amir M. Rahmani,Pasi Liljeberg,Jürgo-Sören Preden,Axel Jantsch Pdf

This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Fog Computing

Assad Abbas,Samee U. Khan,Albert Y. Zomaya
Fog Computing Book PDF

Author : Assad Abbas,Samee U. Khan,Albert Y. Zomaya
Publisher : John Wiley & Sons
Page : 616 pages
File Size : 43,6 Mb
Release : 2020-04-21
Category : Technology & Engineering
ISBN : 9781119551690

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Fog Computing by Assad Abbas,Samee U. Khan,Albert Y. Zomaya Pdf

Summarizes the current state and upcoming trends within the area of fog computing Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth. Presented in two parts—Fog Computing Systems and Architectures, and Fog Computing Techniques and Application—this book covers such important topics as energy efficiency and Quality of Service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling in fog computing systems. It also devotes special attention to emerging trends and the industry needs associated with utilizing the mobile edge computing, Internet of Things (IoT), resource and pricing estimation, and virtualization in the fog environments. Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation systems beyond the theoretical and foundational concepts Explores real-time traffic surveillance from video streams and interoperability of fog computing architectures Presents the latest research on data quality in the IoT, privacy, security, and trust issues in fog computing Fog Computing: Theory and Practice provides a platform for researchers, practitioners, and graduate students from computer science, computer engineering, and various other disciplines to gain a deep understanding of fog computing.

Fog and Edge Computing

Rajkumar Buyya,Satish Narayana Srirama
Fog and Edge Computing Book PDF

Author : Rajkumar Buyya,Satish Narayana Srirama
Publisher : John Wiley & Sons
Page : 512 pages
File Size : 43,5 Mb
Release : 2019-01-30
Category : Technology & Engineering
ISBN : 9781119524984

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Fog and Edge Computing by Rajkumar Buyya,Satish Narayana Srirama Pdf

A comprehensive guide to Fog and Edge applications, architectures, and technologies Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies. Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing Examines methods to optimize virtualized, pooled, and shared resources Identifies potential technical challenges and offers suggestions for possible solutions Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management Includes access to a website portal for advanced online resources Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.