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Proceedings of International Conference on Advances in Multidisciplinary Research & Applications (ICAMRA-2023)
The International Conference on Advances in Multidisciplinary Research & Applications (ICAMRA-2023) is an esteemed gathering of researchers, academicians, industry professionals, and experts from around the world. This conference serves as a platform for exchanging knowledge, insights, and ideas across various disciplines, fostering interdisciplinary collaboration, and exploring the latest advancements in research and their applications. ICAMRA-2023 will feature a diverse range of topics encompassing multidisciplinary research, interdisciplinary applications, and cutting-edge innovations. Participants will have the opportunity to delve into emerging trends, discuss global perspectives, and c...
Diagnosis and Management of Glaucoma
Glaucoma is an eye disease in which the optic nerve is damaged and can permanently damage vision and lead to blindness if left untreated. This book is a complete guide to the diagnosis and management of glaucoma. Divided into five sections, it begins with an introduction to the disease, continuing step by step through its diagnosis, the different types of glaucoma and treatment options. Authored by specialists renowned in their field based in India and the USA, this manual contains 840 images and illustrations.
2017 International Conference on Nextgen Electronic Technologies Silicon to Software (ICNETS2)
ICNETS2 is aimed at providing a forum for engineers, scientists, industry, post docs and budding researchers to present their research findings and share their knowledge experience relating to recent advancements and current opinions in the field of Electronics and Communication Engineering It is estimated that more than 900 presenters will attend the conference from diverse background and culture making the event a truly international The highlight of the conference will be the presence of a Nobel laureate as Plenary speaker The conference will have Keynote address and Invited talks from reputed persons around the globe in their areas of expertise
The White Tiger
NOW A MAJOR MOTION PICTURE The stunning Booker Prize–winning novel from the author of Amnesty and Selection Day that critics have likened to Richard Wright’s Native Son, The White Tiger follows a darkly comic Bangalore driver through the poverty and corruption of modern India’s caste society. “This is the authentic voice of the Third World, like you've never heard it before” (John Burdett, Bangkok 8). The white tiger of this novel is Balram Halwai, a poor Indian villager whose great ambition leads him to the zenith of Indian business culture, the world of the Bangalore entrepreneur. On the occasion of the president of China’s impending trip to Bangalore, Balram writes a letter to him describing his transformation and his experience as driver and servant to a wealthy Indian family, which he thinks exemplifies the contradictions and complications of Indian society. Recalling The Death of Vishnu and Bangkok 8 in ambition, scope, The White Tiger is narrative genius with a mischief and personality all its own. Amoral, irreverent, deeply endearing, and utterly contemporary, this novel is an international publishing sensation—and a startling, provocative debut.
Rural Public Health
Print+CourseSmart
Reverse Hypothesis Machine Learning
This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same—the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.
