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This book engages with different aspects of India’s practice of international law. It covers a diverse range of areas such as human rights, humanitarian law, migration, diplomacy, extradition, environment, trade, investment, taxation, cyberspace, data protection, maritime, and intellectual property to showcase India’s strong commitment to respect and observe international law. The volume discusses various themes which include: Legal and constitutional framework; Air, space, and atomic energy; Environment; Sea and maritime law; Trade, investment, and taxation; Conflict of laws; IT and data protection; Human rights and humanitarian law; Issues of refugees and internally displaced persons; ...
Learn the details of what goes on inside a diabetic body and how to avoid all complications associated with diabetes, reverse the damage caused by years of neglect, achieve and maintain perfectly normal blood sugar levels without injecting insulin or popping in conventional diabetic medicines for life.
Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization. - Includes case studies to add additional color to the presented content - Provides codes for the mechanistic modeling of multi-frequency conductivity and relative permittivity of porous geomaterials - Presents detailed descriptions of multifrequency electromagnetic data interpretation models and inversion algorithm
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide...
Orissa Society of Americas 39th Annual Convention Souvenir for Convention held in 2008 at Toronto, Canada re-published as Golden Jubilee Convention July 4-7, 2019 Atlantic City, New Jersey commemorative edition. Odisha Society of the Americas Golden Jubilee Convention will be held in Atlantic City, New Jersey during July 4-7, 2019. Convention website is http://www.osa2019.org. Odisha Society of the Americas website is http://www.odishasociety.org
Although many opera dictionaries and encyclopedias are available, very few are devoted exclusively to operas in a single language. In this revised and expanded edition of Operas in English: A Dictionary, Margaret Ross Griffel brings up to date her original work on operas written specifically to an English text (including works both originally prepared in English, as well as English translations). Since its original publication in 1999, Griffel has added nearly 800 entries to the 4,300 from the original volume, covering the world of opera in the English language from 1634 through 2011. Listed alphabetically by letter, each opera entry includes alternative titles, if any; a full, descriptive t...
Industry 5.0 is a growing field that has many potential future directions and opportunities for businesses and companies. To ensure society is prepared for this evolving technological world, further study is required on the potential challenges and pitfalls. Advanced Research and Real-World Applications of Industry 5.0 presents an overview of Industry 5.0 and related advanced research and real-world applications. The book also discusses several real-time issues, problems, and applications with corresponding solutions and suggestions. Covering critical topics such as optimization models, cybersecurity threats, and sustainability, this reference work is ideal for business owners, computer scientists, industry professionals, managers, researchers, scholars, academicians, practitioners, instructors, and students.
This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.
Designed for students who have a basic understanding of physics and mathematics, this text provides a fundamental, three-in-one introduction to astronomy, astrophysics, and cosmology. The astronomy section explores fundamental topics such as the celestial coordinate system, stellar classification schemes, H-R diagrams, and the masses and radii of stars. The astrophysics section addresses stellar structure, stellar atmospheres, energy generation in stars, and nucleosynthesis. Also covering galactic structure and rotation, the cosmology section introduces the Robertson-Walker metric and Friedman models of the universe and discusses the present status of the Hubble constant along with problems associated with the age of the universe. Numerous problems, diagrams, and up-to-date references make this an ideal introductory text for graduate courses in physics, mathematics, space physics, or any program for which astronomy is an option.