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Statistical Modeling and Applications on Real-Time Problems
In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in Ind...
Joothan
Omprakash Valmiki describes his life as an untouchable, or Dalit, in the newly independent India of the 1950s. "Joothan" refers to scraps of food left on a plate, destined for the garbage or animals. India's untouchables have been forced to accept and eat joothan for centuries, and the word encapsulates the pain, humiliation, and poverty of a community forced to live at the bottom of India's social pyramid. Although untouchability was abolished in 1949, Dalits continued to face discrimination, economic deprivation, violence, and ridicule. Valmiki shares his heroic struggle to survive a preordained life of perpetual physical and mental persecution and his transformation into a speaking subject under the influence of the great Dalit political leader, B. R. Ambedkar. A document of the long-silenced and long-denied sufferings of the Dalits, Joothan is a major contribution to the archives of Dalit history and a manifesto for the revolutionary transformation of society and human consciousness.
Machine Learning for Sustainable Manufacturing in Industry 4.0
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced comput...
Lean Manufacturing and Service
Within manufacturing industries, lean manufacturing and systems rooted in lean principles stand out as the most effective tool used to enhance productivity, quality, and comprehensive economic, environmental, and social sustainability. Lean Manufacturing and Service: Fundamentals, Applications, and Case Studies is not merely a guide to lean tools for cost reduction. Instead, it showcases lean as a holistic system encompassing design, planning, management, and operations, relevant to all organizations. Moreover, it delves into its integration with Industry 4.0 and its concepts. Designed primarily for graduate and undergraduate courses, this book is also a valuable resource for industry professionals. It features exercises ranging from basic to multifaceted examples, insightful case studies, and end-of-chapter challenges. A solutions manual and lecture slides are also available to ensure a quality course experience.
Strategic Fuzzy Extensions and Decision-making Techniques
The application of a novel correlation coefficient of linguistic intuitionistic fuzzy sets to medical diagnosis problems provides the topic for Strategic Fuzzy Extensions and Decision-making Techniques. It further explains neutrosophic cubic set-based aggregation operators for library ranking systems, and techniques for order performance by similarity to ideal solution. The text also introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. This book: Introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. Covers recent studies in the field of fuzzy optimi...
Advances in Mathematical and Computational Modeling of Engineering Systems
The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the ...
Modeling and Applications in Operations Research
The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book’s content encompass the following key aspects: Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers ...
The International Journal of Indian Psychology, Volume 2, Issue 2, No. 2
The International Journal of Indian Psychology (ISSN 2348-5396) is an academic journal that examines the intersection of psychology, home sciences, and education. IJIP is published quarterly and is available in electronic versions. Our expedited review process allows for a thorough analysis by expert peer-reviewers within a time line that is much more favorable than many other academic publications.
