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We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualiza...
Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.
Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.
This book constitutes the refereed proceedings of the Third International Conference on Soft Computing and its Engineering Applications, icSoftComp 2021, held in Changa, India, in December 2021. Due to the COVID-19 pandemic the conference was held online. The 29 full papers and 4 short papers presented were carefully reviewed and selected from 247 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This is a Packt Instant How-to guide, which provides concise and clear recipes for configuring RazorView and working with its syntax and view types.This book is for developers who are looking for alternate ways to simplify web application development.
This book constitutes selected and revised papers from the First International Conference on Cybersecurity in Emerging Digital Era, ICCEDE 2020, held in Greater Noida, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 9 full papers and 2 short papers presented in this volume were thoroughly reviewed and selected from 193 submissions. The papers are organized in topical sections on cyber security issues and challenges in emerging digital era; security resilience in contemporary applications.
The 'Brihakatha', or Lord Shiva's narrative to his wife Parvati, is featured in Gunadhya's epic composition 'Katha Sarita Sagara' in Sanskrit. Somadeva's adaptation retains the storyline, with Lord Shiva substituting for Lord Kubera, the God of Wealth. C H Tawney, blending pure Hindu mythology with Buddhist and tantric beliefs, translated the story into English as The Ocean of a Story, which runs 12 volumes and includes footnotes. Shiva's Own Story is a condensed version of Tawney's work. The setting of the stories is India in the 10th and 11th centuries, when the country was composed of many small kingdoms and fiefdoms. There was no dearth of monarchs with dynastic ambitions. The king was usually advised by an intelligent and devoted Brahman minister. The heir apparent, the crown prince, had a circle of friends, mostly sons of the king's ministers, who became part of the cabinet when the prince became king. Intrigue was rife and matrimonial alliances were often a strategy to expand the kingdom. In a country where illiteracy is still formidable, storytelling is a means of promoting and propagating religious and moral culture.
The Vedic-Puranic literature as well as archaeological, geological, historical, linguistic, and literary accounts have been reviewed to establish the various cultures that evolved in ancient India from about 3500 BCE to the Mahabharata War (1450 BCE). The book describes various misconceptions, e.g., the myth about an Aryan invasion. The following markers are used to establish the dates and geographical locations of various cultures: (i) The rise in sea levels due to melting of land-based snow after the last Ice Age. (ii) Migration of the Dravidian people from the lost continent of Kumari Kandam that submerged under the Indian Ocean. (iii) The dates for the start of farming, use of kiln-baked...
This book is a practical tutorial that explains all the features of Kinect SDK by creating sample applications throughout the book. It includes a detailed discussion of APIs with step-by-step explanation of development of a real-world sample application. The purpose of this book is to explain how to develop applications using the Kinect for Windows SDK. If you are a beginner and looking to start developing applications using the Kinect for Windows SDK, and if you want to build motion-sensing, speech-recognizing applications with Kinect, this book is for you. This book uses C♯ and WPF (Windows P.