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"The Shades of Environment" is a collaborative work by esteemed faculty members from various departments of DRIEMS University, Tangi, Cuttack. This comprehensive book delves into diverse research aspects of environmental studies, offering insightful perspectives and innovative solutions. It covers topics ranging from ecological sustainability and environmental impact assessment to cutting-edge advancements in green technology and conservation practices. By integrating multidisciplinary expertise, the book aims to foster a deeper understanding of environmental challenges and promote sustainable development. "The Shades of Environment" is an essential resource for researchers, students, and policymakers dedicated to environmental preservation and innovation.
An impending energy crisis is looming globally, which has led to the use of effluents from paper mills for enhanced oil recovery (EOR), CO2 flooding and wastewater treatment by biosurfactants, and the current market demand for cost-competitive and environment-friendly alternatives to synthetic chemicals. This up-to-date book on petroleum technology provides a comprehensive review of the background and recent advances in the field of petroleum technology and highlights various facets of the fascinating world of upstream, midstream and downstream petroleum technologies. It comprises 25 chapters, each representing the progress, prospects and challenges in petroleum research, and focuses on the tremendous progress made by the scientific community in this research field. The book covers in detail EOR processes, reservoir engineering, production operation and optimisation, pipeline transportation and storage, CO2 capture and sequestration, wastewater management and innovative treatment, refining technologies, environmental chemistry, and biochemistry and biotechnology for the petroleum industry.
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
Issues for 1919-47 include Who's who in India; 1948, Who's who in India and Pakistan.
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This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.