Bøger af Abhishek Gupta

Welcome to a world of creativity and imagination! Inside the pages of this coloring book, you'll find a captivating journey waiting to be brought to life with your unique touch. Unleash your artistic spirit as you explore intricate designs and charming scenes, turning each canvas into a vibrant masterpiece. So grab your favorite coloring tools and let your creativity flow, as you embark on a colorful adventure through these pages. The possibilities are endless, and the only limit is your imagination.

This book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners.The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike.

Conventionally, the diagnosis of tropical fasciolosis in ruminants is relied upon copro demonstration of Fasciola gigantica eggs. Coprological examination cannot be used during pre-patent period of the disease which corresponds to the major pathogenic effects. Serum biochemistry of infected animals can be used as indicator of the extent of tissue damage and the severity of the infection. But no currently available test can be considered as 100% sensitive and specific. This book describes standardization of a simple and rapid dipstick¿ELISA for diagnosis of natural caprine and bubaline fasciolosis using 28 kDa cysteine proteinase of adult flukes. The dipstick¿ELISA was evaluated using the true infection status of the autopsied animals as a gold standard. Aspartate aminotransferase (AST) and alkaline phosphatase (ALP) were also exploited as marker enzymes based upon stages of fasciolosis. Therefore this book is very helpful for researchers, laboratory technicians and veterinarians working on diagnosis and prevention of fasciolosis.

Numerical Methods with MATLAB provides a highly-practical reference work to assist anyone working with numerical methods. A wide range of techniques are introduced, their merits discussed and fully working MATLAB code samples supplied to demonstrate how they can be coded and applied.Numerical methods have wide applicability across many scientific, mathematical, and engineering disciplines and are most often employed in situations where working out an exact answer to the problem by another method is impractical.Numerical Methods with MATLAB presents each topic in a concise and readable format to help you learn fast and effectively. It is not intended to be a reference work to the conceptual theory that underpins the numerical methods themselves. A wide range of reference works are readily available to supply this information. If, however, you want assistance in applying numerical methods then this is the book for you.

This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms.