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Bayesian Machine Learning in Geotechnical Site Characterization
Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization. Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples. Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.
Civil Engineering and Energy-Environment Vol 1
Civil Engineering and Energy-Environment focuses on the research of civil engineering, environment resources and energy materials. This proceedings gathers the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research direction and engineering solution as reference. Subjects in this proceedings include: - Engineering Structure - Environmental Protection Materials - Architectural Environment ·Environment Resources - Energy Storage - Building Electrical Engineering The works of this proceedings will promote development of civil engineering and environment engineering. Thereby, promote scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.
Uncertainty, Modeling, and Decision Making in Geotechnics
Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly. The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples. Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.
Artificial Intelligence Technologies and Applications
Artificial Intelligence (AI) is rapidly becoming an inescapable part of modern life, and the fact that AI technologies and applications will inevitably bring about significant changes in many industries and economies worldwide means that this field of research is currently attracting great interest. This book presents the proceedings of ICAITA 2023, the 5th International Conference on Artificial Intelligence Technologies and Applications, held as a hybrid event from 30 June to 2 July 2023 in Changchun, China. The conference provided an international forum for academic communication between experts and scholars in the field of AI, promoting the interchange of scientific information between pa...
Therapeutics of Digestive Endoscopic Tunnel Technique
This book elaborates on a whole new understanding of digestive endoscopy, the core of which is to treat quite a number of diseases using minimally invasive methods. Currently, the tunnel technique has been applied in the treatment of digestive early stage carcinomas, esophageal achalasia and submucosal tumors originating from muscularis propria. And this promising technique would surely be more widely used in the future. The main contents of this book include the history of the digestive endoscopic tunnel technique, the practical anatomy involved, operation steps, indications and contraindications, complications and possible future exploration fields. This book is well suited for doctors and surgeons performing digestive endoscopic therapies.
Frontiers in Civil and Hydraulic Engineering, Volume 2
Frontiers in Civil and Hydraulic Engineering focuses on the research of architecture and hydraulic engineering in civil engineering. The proceedings feature the most cutting-edge research directions and achievements related to civil and hydraulic engineering. Subjects in the proceedings including: Engineering Structure Intelligent Building Structural Seismic Resistance Monitoring and Testing Hydraulic Engineering Engineering Facility The works of this proceedings can promote development of civil and hydraulic engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.
Advances in Frontier Research on Engineering Structures
Civil architecture and structural engineering may be subjects to which most of us never give a second thought, but both these disciplines are crucial to the built environment in which we live, and without the skills of those who work in them, our buildings and infrastructure would lack the safety and reliability that we all take for granted. This book presents the proceedings of ICCASE 2023, the 7th International Conference on Civil Architecture and Structural Engineering, held in Guangzhou, China, from 14 - 16 April 2023 as a virtual event, and attended by around 250 international participants. The aim of the conference was to discuss recent advances and new perspectives in civil architectu...
Big Data in Engineering Applications
This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.
