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Jumbos and Jumping Devils is a pioneering exploration of the social history of circus in India over the last 150 years. It presents a wide variety of amazing tales ranging from the blooming and evolution of circus acrobatics in early twentieth-century Malabar to the sensational legal battles following the ban of wild animals and children from the circus ring in the twenty-first century. Alongside extensive fieldwork and interviews, the author has used memorabilia including photographs, notices, posters, letters, diaries, unpublished autobiographies, private papers, and recollections of the circus community to chronicle the hitherto untold story of the Indian circus. The book paves the way for a new sociocultural analysis of performance genres and popular culture in the subcontinent against several overlapping contexts. These include the remaking of caste and gender identities, transformation of physical cultures and bodies, interventions of the colonial and postcolonial states, and emergence of new transregional and transnational spaces.
This is a subject that is as hot as a snake in a wagon rut, offering as it does huge potentiality in the field of computer programming. That’s why this book, which constitutes the refereed proceedings of the 7th International Symposium on Abstraction, Reformulation, and Approximation, held in Whistler, Canada, in July 2007, will undoubtedly prove so popular among researchers and professionals in relevant fields. 26 revised full papers are presented, together with the abstracts of 3 invited papers and 13 research summaries.
Modern Singapore is a miracle. Half a century ago it unwillingly became an independent nation, after it was thrown out of the Malay Federation. It was tiny, poor, almost devoid of resources, and in a hostile neighborhood. Now, this unlikely country is at the top of almost every global national index, from high wealth and low crime to superb education and much-envied stability. But have these achievements bred a dangerous sense of complacency among Singapore's people? Nicholas Walton walked across the entire country in one day, to grasp what it was that made Singapore tick, and to understand the challenges that it now faces. Singapore, Singapura teases out the island's story, from mercantilis...
This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Book description: The British rubber plantations in Malaya (now Malaysia) created a huge migration of indentured labour from India. My grandpa joined the wave to start a spice business and lost it all. That plunged my generation below the poverty line!I I was born in a plantation house (not a hospital) and my birth certificate was "processed" in a police station. That is how I arrived earth in 1965. Grew up in the rubber plantation, soon to become unpaid underaged labour helping my parents tap rubber trees starting at 04:30 in the morning amongst the mosquitoes and snakes while smacking into spider webs between the trees.Our meals starts on a perfect dining table after pay day and dwindles i...
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable informat...