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Between Colonialism and Diaspora
Bringing South Asian and British imperial history together with recent scholarship on transnationalism and postcolonialism, Tony Ballantyne offers a bold reevaluation of constructions of Sikh identity from the late eighteenth century through the early twenty-first. Ballantyne considers Sikh communities and experiences in Punjab, the rest of South Asia, the United Kingdom, and other parts of the world. He charts the shifting, complex, and frequently competing visions of Sikh identity that have been produced in response to the momentous social changes wrought by colonialism and diaspora. In the process, he argues that Sikh studies must expand its scope to take into account not only how Sikhism...
Virtual Technologies: Concepts, Methodologies, Tools, and Applications
"This publication presents incompassing research of the concepts and realities involved in the field of virtual communities and technologies"--Provided by publisher.
Critical Practices in Architecture
This book embraces the idea that in today’s complex world, multiple, emerging perspectives are critical to the design fields, the environment, and society. It also brings authors into conversation to focus on the built environment from the perspective of critical practice. The authors take as a starting point Jane Rendell’s ground-breaking work, which defines critical spatial practice as “self-reflective modes of thought that seek to change the world.” In opposition to conventional conceptions of architectural education and work, this book reflects how socially engaged architects, landscape architects, designers, urbanists, and artists take up critical spatial practice. Bridging ideas from multiple countries and approaches to design scholarship, each chapter seeks to find places of convergence for the multiple strands that form around themes of practice, equality, methods, theory, ethics, pedagogy, and representation. Rendell’s foreword and postscript provide context for these themes and suggest a way forward in today’s challenging, changing times.
Computational Science - ICCS 2007
Part of a four-volume set, this book constitutes the refereed proceedings of the 7th International Conference on Computational Science, ICCS 2007, held in Beijing, China in May 2007. The papers cover a large volume of topics in computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.
Health Information Science
This book constitutes the refereed proceedings of the First International Conference on Health Information Science, held in Beijing, China, in April 2012. The 15 full papers presented together with 1 invited paper and 3 industry/panel statements in this volume were carefully reviewed and selected from 38 submissions. The papers cover all aspects of the health information sciences and the systems that support this health information management and health service delivery. The scope includes 1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, 2) data management, data mining, and knowledge discovery (in health domain), all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, and 3) development of new architectures and applications for health information systems.
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Handbook of Research on Information Security and Assurance
"This book offers comprehensive explanations of topics in computer system security in order to combat the growing risk associated with technology"--Provided by publisher.
Machine Learning and Modeling Techniques in Financial Data Science
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learn...
Computational Intelligence in Software Modeling
Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.
