Parikshit Narendra Mahalle's Books

Foundations of Mathematical Modelling for Engineering Problem Solving

By: Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni

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Foundations of Mathematical Modelling for Engineering Problem Solving

By: Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni

This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.

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177

Publisher

Springer Nature

Published Date

ISBN 10

9811988285

ISBN 13

9789811988288

Identity Management for Internet of Things

By: Parikshit N. Mahalle,Poonam N. Railkar

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Identity Management for Internet of Things

By: Parikshit N. Mahalle,Poonam N. Railkar

The Internet of Things is a wide-reaching network of devices, and these devices can intercommunicate and collaborate with each other to produce variety of services at any time, any place, and in any way. Maintaining access control, authentication and managing the identity of devices while they interact with other devices, services and people is an important challenge for identity management. The identity management presents significant challenges in the current Internet communication. These challenges are exacerbated in the internet of things by the unbound number of devices and expected limitations in constrained resources. Current identity management solutions are mainly concerned with identities that are used by end users, and services to identify themselves in the networked world. However, these identity management solutions are designed by considering that significant resources are available and applicability of these identity management solutions to the resource constrained internet of things needs a thorough analysis. Technical topics discussed in the book include:• Internet of Things;• Identity Management;• Identity models in Internet of Things;• Identity management and trust in the Internet of Things context;• Authentication and access control;Identitymanagement for Internet of Things contributes to the area of identity management for ubiquitous devices in the Internet of Things. It initially presents the motivational factors together with the identity management problems in the context of Internet of Things and proposes an identity management framework. Following this, it refers to the major challenges for Identitymanagement and presents different identity management models. This book also presents relationship between identity and trust, different approaches for trust management, authentication and access control.

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156

Publisher

CRC Press

Published Date

ISBN 10

1000792714

ISBN 13

9781000792713

Foundations of Data Science for Engineering Problem Solving

By: Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh

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Foundations of Data Science for Engineering Problem Solving

By: Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.

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125

Publisher

Springer Nature

Published Date

ISBN 10

9811651604

ISBN 13

9789811651601

Data Science for Civil Engineering

A Beginner's Guide

By: Rakesh K. Jain,Prashant Shantaram Dhotre,Deepak Tatyasaheb Mane,Parikshit Narendra Mahalle

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Data Science for Civil Engineering

A Beginner's Guide

By: Rakesh K. Jain,Prashant Shantaram Dhotre,Deepak Tatyasaheb Mane,Parikshit Narendra Mahalle

This book explains use of data science-based techniques for modeling and providing optimal solutions to complex problems in civil engineering. It discusses civil engineering problems like air, water and land pollution, climate crisis, transportation infrastructures, traffic and travel modes, mobility services, and so forth. Divided into two sections, the first one deals with the basics of data science and essential mathematics while the second section covers pertinent applications in structural and environmental engineering, construction management, and transportation. Features: Details information on essential mathematics required to implement civil engineering applications using data science techniques. Discusses broad background of data science and its fundamentals. Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering. Includes python programming libraries to solve complex problems. Addresses various real-world applications of data science based civil engineering use cases. This book aims at senior undergraduate students in Civil Engineering and Applied Data Science.

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251

Publisher

CRC Press

Published Date

ISBN 10

1000873463

ISBN 13

9781000873467

COVID-19 Public Health Measures

An Augmented Reality Perspective

By: Nuzhat F. Shaikh,Ajinkya Kunjir,Juveriya Shaikh,Parikshit Narendra Mahalle

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COVID-19 Public Health Measures

An Augmented Reality Perspective

By: Nuzhat F. Shaikh,Ajinkya Kunjir,Juveriya Shaikh,Parikshit Narendra Mahalle

Considering the overall situation of the current pandemic and pertinent recommendations, this book focuses on the use of augmented reality (AR) applications for preventing COVID-19 outbreaks along with techniques, tools, and platforms to achieve social distancing.and sanitization. COVID-19 Public Health Measures: An Augmented Reality Perspective contains theoretical and practical knowledge of AR and remedies on how to cope with the pandemic, including multiple use cases along with a set of recommendations. This book illustrates application building using open-source software with an interactive interface to aid impaired users. The initial part of this book emphasizes the basic knowledge of AR, technology, devices, and rest of the relevant theories. This book is aimed at researchers, students of AR, technical healthcare professionals, and practitioners. Key Features: • Consists of an extensive introduction to the terminologies and components of AR • Provides in-depth knowledge of various tools and techniques used in AR • Introduces various platforms and software development kits (SDKs) such as Unity Engine, Unreal Engine, and Vuforia • Gives a step-by-step guide for the development of an AR app • Describes how AR can be used specifically by impaired users not only in the situation of current pandemic but also in normal situations thus simplifying day-to-day activities

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132

Publisher

CRC Press

Published Date

ISBN 10

1000410994

ISBN 13

9781000410990

Internet of Things Integrated Augmented Reality

By: Gitanjali Rahul Shinde,Prashant Shantaram Dhotre,Parikshit Narendra Mahalle,Nilanjan Dey

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Internet of Things Integrated Augmented Reality

By: Gitanjali Rahul Shinde,Prashant Shantaram Dhotre,Parikshit Narendra Mahalle,Nilanjan Dey

This book discusses the use of converged technology, a rapidly growing area that enhancements smart devices, communication, Internet of things (IoT), and augmented reality (AR). The book also explores the need for convergence of IoT and AR for various purposes, like personalized services, context awareness, and bridging the gap between the physical and digital world. Furthermore, it examines the implementation of IoT and AR in use cases to define pathways that allow application developers to design modern solutions to satisfy requirements like scalability, abstraction and security. Featuring an introduction, and covering sensing techniques, and effective architecture in AR-based IoT real-time use cases, the book also addresses the issues and challenges in designing standard architecture and middleware to support diverse applications. Given its scope, it is a valuable resource for teachers and students in engineering, as well as researchers, developers, and users working in multi-disciplinary areas.

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Springer Nature

Published Date

ISBN 10

9811563748

ISBN 13

9789811563744

Context-Aware Pervasive Systems and Applications

By: Parikshit N. Mahalle,Prashant S. Dhotre

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Context-Aware Pervasive Systems and Applications

By: Parikshit N. Mahalle,Prashant S. Dhotre

This textbook explores the current challenges in and future prospects of context-aware pervasive systems and applications. The phenomenal advances in broadband technology and ubiquitous access to the Internet have transformed Internet computing into the Internet of Things (IoT), which is now evolving toward the Internet of Everything. Modern scientific, engineering, and business applications are increasingly dependent on machine-to-machine communication, wherein there is less human intervention. In turn, this creates a need for context-aware pervasive systems and applications in which RFID, sensors, and smartphones play a key role. The book provides an essential overview of context, context management, and how to perform context management in various use cases. In addition, it addresses context-aware computing and personalization, various architectures for context-aware systems, and security issues. The content is explained using straightforward language and easy-to-follow examples, case studies, technical descriptions, procedures, algorithms, and protocols for context-aware systems.

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Page Count

169

Publisher

Springer Nature

Published Date

ISBN 10

9813299525

ISBN 13

9789813299528

The Convergence of Internet of Things and Cloud for Smart Computing

By: Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande

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The Convergence of Internet of Things and Cloud for Smart Computing

By: Parikshit N. Mahalle,Nancy Ambritta P.,Gitanjali Rahul Shinde,Arvind Vinayak Deshpande

This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT–Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth. Features: • Covers IoT cloud convergence with a focus on complex industrial IoT case studies. • Discusses the broad background of IoT–Cloud convergence architectures and its fundamentals along with resource provisioning mechanisms. • Emphasizes the use of context in developing context-aware IoT solutions. • Presents a novel C-model that explains the IoT application development phases. • Discusses a simplified convergence model that depicts the role of Cloud in an IoT application. This book aims at graduate students, researchers, and professionals getting started in the IoT field.

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138

Publisher

CRC Press

Published Date

ISBN 10

1000417816

ISBN 13

9781000417814

Data Storytelling and Visualization with Tableau

A Hands-on Approach

By: Prachi Manoj Joshi,Parikshit Narendra Mahalle

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Data Storytelling and Visualization with Tableau

A Hands-on Approach

By: Prachi Manoj Joshi,Parikshit Narendra Mahalle

With the tremendous growth and availability of the data, this book covers understanding the data, while telling a story with visualization including basic concepts about the data, the relationship and the visualizations. All the technical details that include installation and building the different visualizations are explained in a clear and systematic way. Various aspects pertaining to storytelling and visualization are explained in the book through Tableau. Features Provides a hands-on approach in Tableau in a simplified manner with steps Discusses the broad background of data and its fundamentals, from the Internet of Everything to analytics Emphasizes the use of context in delivering the stories Presents case studies with the building of a dashboard Presents application areas and case studies with identification of the impactful visualization This book will be helpful for professionals, graduate students and senior undergraduate students in Manufacturing Engineering, Civil and Mechanical Engineering, Data Analytics and Data Visualization.

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CRC Press

Published Date

ISBN 10

1000686728

ISBN 13

9781000686722

Data Analytics for Pandemics

A COVID-19 Case Study

By: Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey

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Data Analytics for Pandemics

A COVID-19 Case Study

By: Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

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