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"Akashvani" (English) is a programme journal of ALL INDIA RADIO, it was formerly known as The Indian Listener. It used to serve the listener as a bradshaw of broadcasting ,and give listener the useful information in an interesting manner about programmes, who writes them, take part in them and produce them along with photographs of performing artists. It also contains the information of major changes in the policy and service of the organisation. The Indian Listener (fortnightly programme journal of AIR in English) published by The Indian State Broadcasting Service, Bombay, started on 22 December, 1935 and was the successor to the Indian Radio Times in English, which was published beginning ...
Most people think of Alzheimer’s disease as a condition which predominately affects elderly people, but an increasing amount of evidence indicates that in populations exposed to high concentration of air pollutants, Alzheimer’s disease development and progression can be identified in pediatric and young adulthood ages. Cognitive, olfactory, gait, equilibrium and auditory alterations are seen early, thus the concept of decades-long asymptomatic period prior to clinical cognitive impairment does not apply to the millions of people exposed day in and day out to polluted environments. This book Alzheimer's Disease and Air Pollution – The Development and Progression of a Fatal Disease from ...
This book showcases recent research advances in service science and related fields. Including selected papers from the 2022 INFORMS International Conference on Service Science, held in Shenzhen, China from July 2 to 4, 2022, the book presents new theories and empirical results in the emerging, interdisciplinary field of digital transformation and society. Incorporating research, education and practice alike, the respective chapters highlight a host of ways to approach these challenges in service science.
MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud ...
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and M...
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decis...
This book comprises select proceedings of the National Conference on Control, Signal Processing, Energy and Power Systems (CSPES 2018). The book covers topics on both theoretical control systems and their applications across engineering domains such as automatic control, robotics, and adaptive controller design. It discusses several signal processing domains such as image, speech, biomedical signal processing and their applications in IOT, control, robotics, power and energy systems. The book emphasizes both conventional and non-conventional energy, environment, and green processes as related to energy and power systems engineering. The contents of this book will prove to be useful for students, researchers, academics, and professionals.
University teaching and learning has never been more innovative than it is now. This has been enabled by a better contemporary understanding of teaching and learning. Instructors now present situated projects and practices to their students, not just foundational principles. Lectures and structured practice are now often replaced by engaging and constructivist learning activities that leverage what students know about, think about and care about. Teaching innovation has also been enabled by online learning in the classroom, beyond the classroom and beyond the campus. Learning online is perhaps not the panacea sometimes asserted but it is a disruptively rich and expanding set of tools and tec...
This book focuses on the historical and sociological dimensions of scientists working in laboratories in India, offering insights into the historical, sociological and policy factors that shape scientific pursuits. It illuminates the challenges, accomplishments and the evolving role of science in societal development. The author initiates a broader discourse on the interplay between scientific advancements, societal contexts and policy frameworks. The book fosters a deeper understanding of science's role in shaping India’s social fabric and contributing to the global scientific dialogue. It also explores issues such as brain drain, science activism and the conflict between university- and government-run models of science. Lucid and topical, the book will be of considerable interest to both social and natural scientists, as well as the general academic community, including research students in science, technology, history, social history of science, science and technology studies and innovation policies.
Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.