English | 2022 | ISBN: 1350181536 | 161 pages | True PDF EPUB | 7.71 MB
The Russian internet is a hotbed for memes and viral videos: the political, satirical and simply absurd compete for attention in Russia while the West turns to it for an endless reserve of humorous content. But how did this powerful cyber community grow out of the repressive media environment of the Soviet Union? What does this viral content reveal about the country, its politics and its culture? And why are the memes and videos of today's Russia so popular, spreading so rapidly across the globe?
Award-winning author Eliot Borenstein explores the explosive online movement and unpicks, for the first time, the role of mimetic content and digital activism in modern Russian history up to the present day.

Requirements: Android 4.4+ | File size: 5,7 MB

Internet of Things - ICIOT 2021: 6th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings by Bedir Tekinerdogan
English | PDF | 2022 | 133 Pages | ISBN : 3030960676 | 10.3 MB

Internet Finance: Concepts, Factors and Ecology by Qingyou Guan
English | EPUB | 2022 | 409 Pages | ISBN : 9811647399 | 12.8 MB

English | 2022 | ISBN: 1119768837 | 323 pages | True PDF | 21.86 MB
INTERNET OF MEDICAL THINGS (IOMT)

English | 2022 | ISBN: 1032110953 | 253 pages | True PDF | 11.82 MB
This book provides knowledge, skills, and strategies an engineer requires to effectively integrate Internet of Things (IoT) into the field of mechanical engineering. Divided into three sections named IoT Strategies, IoT Foundation topics, and IoT system development, the volume covers introduction to IoT framework, its components, advantages, challenges, and practical process for effective implementation of IoT from mechanical engineering perspective. Further, it explains IoT systems and hands-on training modules, implementation, and execution of IoT Systems.

English | 2022 | ISBN: 1771889861 | 308 pages | True EPUB | 5.16 MB
Network infrastructures are growing rapidly to meet the needs of business, but the required re-policing and reconfiguration provide challenges that need to be addressed. The software-defined network (SDN) is the future generation of Internet technology that can help meet these challenges of network management. This book includes quantitative research, case studies, conceptual papers, model papers, review papers, and theoretical backing on SDN. This book investigates areas where SDN can help other emerging technologies deliver more efficient services, such as IoT, industrial IoT, NFV, big data, blockchain, cloud computing, and edge computing. The book demonstrates the many benefits of SDNs, such as reduced costs, ease of deployment and management, better scalability, availability, flexibility and fine-grained control of traffic, and security. Chapters in this volume address design considerations for security issues and detection methods, big data using Apache Hadoop for processing and analyzing large amounts of data tools used for attack simulation; network policies and policy management approaches used in the context of SDN; a new four-tiered architecture that includes cloud, SDN-controller, and fog computing; architecture for keeping computing resources available near the industrial IoT network through edge computing; the impact of SDN as an innovative approach for smart city development; and more.

English | 2022 | ISBN: 3030809277 | 267 pages | True PDF EPUB | 39.51 MB
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.

English | 2022 | ISBN: 9811650896 | 169 pages | True PDF EPUB | 33.08 MB
This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

English | 2022 | ISBN: 9811684871 | 406 pages | True PDF EPUB | 54.85 MB
The book presents the state of the art of the Internet of Things (IoT), applied to Human-Centered Design (HCD) projects addressed to ageing users, from the perspective of health, care and well-being. The current focus on the ageing population is opening up new opportunities for the development of niche solutions aimed at the niche category of older users who are beginning to experience physical and cognitive decline but are still independent and need to maintain their autonomy for as long as possible. The combination between the needs expressed by older users and the opportunities offered by the recent innovative technologies related to the Internet of Things allows research institutions, stakeholders, and academia to target and design new solutions for older users, safeguarding their well-being, health, and care, improving their quality of life.