Ankit Garg – författare

Structural Seismic and Civil Engineering focuses on civil engineering research, anti-seismic technology and engineering structure. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research directions and engineering solutions as reference. Subjects in these proceedings include:

The works in these proceedings aim to promote the development of civil engineering and earthquake engineering. Thereby, promoting scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.

Structural Seismic and Civil Engineering focuses on civil engineering research, anti-seismic technology and engineering structure. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research directions and engineering solutions as reference. Subjects in these proceedings include:

The works in these proceedings aim to promote the development of civil engineering and earthquake engineering. Thereby, promoting scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.

This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks and produce explainable results at the edge. First, this book explains the fundamental concepts of explainable artificial intelligence (XAI), then it describes the concept of explainable edge AI, and finally, it elaborates on the technicalities of explainability in edge AI. Owing to the quick transition in the current computing scenario and integration with the latest AI-based technologies, it is significant to facilitate people-centric computing through explainable edge AI. Explainable edge AI will facilitate enhanced prediction accuracy with the comprehensible decision and traceability of actions performed at the edge and have a significant impact on futuristic computing scenarios. This book is highly relevant to graduate/postgraduate students, academicians, researchers, engineers, professionals, and other personnel working in artificial intelligence, machine learning, and intelligent systems.

This book is a compilation of selected papers from the 1st Indo-China Research Series in Geotechnical and Geoenvironmental Engineering held in May 2020 online. The webinar series was held at a time of COVID-19 pandemic, when there is lack of physical connectivity. The cutting-edge research topics in Civil and Environmental Engineering ranging from bio-geotechnology, methane gas hydrates, frozen soils, rock testing, and related high-rise buildings response under wind loading will be covered. The contents make valuable contributions to academic researchers and engineers in the industry and provide a platform for demonstrating joint research between scientists from India and China. These are the first proceedings of its kind to demonstrate and motivate more joint research cooperation in Civil and Environmental Engineering between two countries. It was done mainly to motivate youth research scholars to understand each other and develop long-term cooperation.