Bhavna Tripathi – författare
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3 produkter
3 produkter
Inbunden, Engelska, 2015
832 kr
Skickas inom 3-6 vardagar
The 1962 War was indeed a traumatic experience for the Indian arms. The story from the Indian side is generally well known but very little is known about how the Chinese planned and orchestrated the entire campaign. While India held a firm belief till the very end that China would not resort to a large scale military action; the Chinese on the other hand had been preparing for it since 1959. Even though the writing was on the wall, Indian Army allowed itself to be hustled into a war on those high Himalayas for which it was ill prepared...a kind of hurtling towards a point of no return. Based on the Chinese literature, for the first time, we have been able to delve into the Chinese thought process, their grand strategy and reconstruct various battles across the entire front from Chinese point of view; of course tempered with what is known from authentic Indian sources. It is a narrative that is designed to fill a great void that has existed all these years about this War.
Del 809 - Lecture Notes in Civil Engineering
Artificial Intelligence for Resilient Infrastructure and Sustainable Engineering Materials
Proceedings of AIRISE 2025
Inbunden, Engelska, 2026
2 138 kr
Skickas inom 10-15 vardagar
E-bok
Engelska, 20262 741 kr
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This book presents selected proceedings from the International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Building Materials (AIRISE 2025) and addresses the urgent need for resilient infrastructure. Current challenges such as resource scarcity and colossal carbon footprint demand innovative solutions in design and construction. Artificial Intelligence (AI) is a promising tool which can process large datasets, predict outcomes, and optimize solutions, enhancing infrastructure resilience. It aids in identification, predictive modelling, forecasting, and real-time monitoring, providing essential insights for damage detection, pattern recognition, and predictive maintenance. Developing sustainable construction materials in civil engineering is crucial to meet the demand for high-performance structures. Research in this area focuses on AI applications, such as artificial neural networks (ANNs) for concrete evaluation, deep learning models, and life cycle assessment (LCA) for a circular economy. AI-driven innovation in smart cities, metaheuristic techniques, and soft computing is increasingly essential for material testing, characterization, and waste utilization. Hence, this book volume explores the challenges of resilient infrastructure, examines AI's potential solutions, and explores real-world AI applications in design and construction.