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ADVANCES IN EMERGING COMPUTING TECHNOLOGIES
PUBLISHED BY CO-TEXT PUBLISHERS IN ASSOCIATION WITH DEPARTMENT OF COMPUTER SCIENCE SACRED HEART COLLEGE (AUTONOMOUS) THEVARA, KOCHI-682013, KERALA, INDIA
Advanced Machine Intelligence and Signal Processing
This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Compu...
Industry 4.0 Technologies for Education
The transformative digital technologies developed for Industry 4.0 are proving to be disruptive change drivers in higher education. Industry 4.0 technologies are forming the basis of Education 4.0. Industry 4.0 Technologies for Education: Transformative Technologies and Applications examines state-of-the-art tools and technologies that comprise Education 4.0. Higher education professionals can turn to this book to guide curriculum development aimed at helping produce the workforce for Industry 4.0. The book discusses the tools and technologies required to make Education 4.0 a reality. It covers online content creation, learning management systems, and tools for teaching, learning, and evalua...
Utilizing AI and Machine Learning for Natural Disaster Management
Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.
Annual Report
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Governing Global Networks
Governing Global Networks argues that most international regimes are grounded in states' mutual cooperation, and not in the dictates of the most powerful states. It focuses on the regimes for four important international industries - shipping, air transport, telecommunications and postal services. Of particular importance to these regimes have been states' interests in both the free flow of commerce and their policy autonomy. The authors examine the relationship between these potentially conflicting goals. In particular they trace the impact of deregulation, which has led some states increasingly to place gains from economic openness ahead of their desire to maintain a high degree of control of their own economies; and to the decline of the traditional cartel elements of these regimes. This analysis is an important contribution to theoretical debates between neo-realists and neo-liberals in the study of international organisations and international political economy.
Income Tax including Tax Planning & Management A.Y 2022-23
The present 43rd edition of the book has been thoroughly revised in the light of the amendments made by The Income Tax Act, 1961; The Income Tax Rules, 1962, (as amended up-to-date); Salient Features of the Income Tax including Tax Planning & Management Book: Even the last minute changes in the law have been incorporated in this revised edition of the book and as such it is the latest and most update book on Income Tax for the Assessment Year 2022-23. Further, the amendments made by the Finance Act, 2022, applicable for the Assessment Year 2022-23, have been incorporated in the book. The present edition of the book has several unparalleled features which make it distinct from other available...
Direct Tax including Tax Planning & Management AY 2020-21
The present 41st edition of the book has been thoroughly revised in the light of the amendments made by The Income Tax Act, 1961; The Income Tax Rules, 1962, (as amended up-to-date); The Finance Act, 2019, the Finance (No. 2) Act, 2019, the Finance Act, 2020 and the Taxation Laws (Amendment) Act, 2019 as applicable to Assessment Year 2020-21 and the Latest Circulars and Notifications of C.B.D.T. The salient features of the book are : The language of the book is simple and lucid. All important aspects of Tax Planning and Management for the Assessment Years 2020-21 and 2021-22 have been included in the book. Small illustrations and examples are given for ticklish law points so as to make them ...
