Fuzzy Hierarchical Model for Risk Assessment
Fuzzy Hierarchical Model for Risk Assessment

Author: Hing Kai Chan

Publisher: Springer Science & Business Media

Published: 2013-04-11

Total Pages: 172

ISBN-13: 1447150430

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Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management. this area.

Structural Seismic and Civil Engineering Research
Structural Seismic and Civil Engineering Research

Author: Ankit Garg

Publisher: CRC Press

Published: 2023-04-12

Total Pages: 946

ISBN-13: 1000911004

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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: Engineering Structure Materials of Civil Engineering Structural Seismic Resistance Monitoring and Testing 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.

Internet of Things and Machine Learning for Type I and Type II Diabetes
Internet of Things and Machine Learning for Type I and Type II Diabetes

Author: Sujata Dash

Publisher: Elsevier

Published: 2024-07-07

Total Pages: 450

ISBN-13: 0323956939

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Internet of Things and Machine Learning for?Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. - Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge - It integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative data - Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings

Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability
Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability

Author: Shankar Karuppannan

Publisher: Frontiers Media SA

Published: 2024-02-12

Total Pages: 180

ISBN-13: 2832544649

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Nowadays, the whole world faces frequent natural and anthropogenic hazards-from drought to flood to deforestation which impends a large number of people into catastrophic destruction and damage. Since natural hazards cannot be eliminated, quantifying these events and creating reliable forecasts can alleviate their detrimental effects which can help build a more resilient and safe society. This Research Topic will comply with the available knowledge of the multi-hazards in response to monitoring and management and intends to fulfil the gap between science, policy and the community concerned. It also focuses on the use of precision techniques, remote sensing, and GIS technologies for the quantification of various natural and environmental hazards along with the capacity and sustainable mitigation strategies for resilient societies.

Hazard-causing System and Assessment of Water and Mud Inrush in Tunnel
Hazard-causing System and Assessment of Water and Mud Inrush in Tunnel

Author: Shucai Li

Publisher: Springer Nature

Published: 2023-05-18

Total Pages: 415

ISBN-13: 9811995230

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This book is composed of eight chapters, introducing the authors’ research and application achievements in the hazard-causing system and disaster evaluation of water and mud inrush in tunnels over the past 10 years. Through a large number of case studies and analysis, and on the basis of existing research, this book puts forward 3 categories and 11 types of tunnel water and mud inrush hazard-causing systems and 4 typical water and mud inrush disaster-forming modes. The authors carefully study the typical cases of tunnel water and mud inrush hazard-causing system, discuss the types of karst water system, structural characteristics, macro-geological identification, engineering identification, karst tunnel route selection principles and evaluation methods in detail, and then develop a dynamic evaluation method of tunnel water and mud inrush construction risk interval and an evaluation method for the resistance body. Ultimately, the authors put forward a systematic identification method of tunnel water and mud inrush disaster, which integrates geological identification, geophysical exploration identification, and drilling identification, and construct a dynamic management and analysis platform for tunnel water and mud inrush cases. This book is used as a reference book for teachers, graduate students, and undergraduates in colleges and universities of civil engineering, transportation, water conservancy and hydropower, mining, geology, etc., and also as a reference for technicians in related engineering fields.

Electronic Systems and Intelligent Computing
Electronic Systems and Intelligent Computing

Author: Pradeep Kumar Mallick

Publisher: Springer Nature

Published: 2020-09-22

Total Pages: 1126

ISBN-13: 9811570310

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This book presents selected, high-quality research papers from the International Conference on Electronic Systems and Intelligent Computing (ESIC 2020), held at NIT Yupia, Arunachal Pradesh, India, on 2 – 4 March 2020. Discussing the latest challenges and solutions in the field of smart computing, cyber-physical systems and intelligent technologies, it includes papers based on original theoretical, practical and experimental simulations, developments, applications, measurements, and testing. The applications and solutions featured provide valuable reference material for future product development.

Life System Modeling and Simulation
Life System Modeling and Simulation

Author: Minrui Fei

Publisher: Springer Science & Business Media

Published: 2007-08-30

Total Pages: 580

ISBN-13: 3540747702

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This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes modeling and simulation of societies and collective behavior, computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering, computational intelligence in bioinformatics and biometrics, and brain stimulation.

Alternative Data and Artificial Intelligence Techniques
Alternative Data and Artificial Intelligence Techniques

Author: Qingquan Tony Zhang

Publisher: Springer Nature

Published: 2022-10-31

Total Pages: 340

ISBN-13: 3031116127

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This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation.

Modeling, Computing and Data Handling Methodologies for Maritime Transportation
Modeling, Computing and Data Handling Methodologies for Maritime Transportation

Author: Charalampos Konstantopoulos

Publisher: Springer

Published: 2017-09-04

Total Pages: 222

ISBN-13: 3319618016

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This book is one of very few in the maritime literature that solely focus on the latest developments in information technology (IT) methodologies in this field. It provides the reader with a concise overview of how IT can truly improve the efficacy of operations in the maritime industry. It consists of seven chapters that address a range of topics related to the synergy between Computer Science and Maritime Science. Specifically, Chapters 1 and 2 explore two important problems in maritime logistics pertaining to quayside operational planning, while Chapters 3 and 4 focus on maritime routing methodologies. Chapters 5 and 6 present decision-making support systems for safe shipping and port security. Last, Chapter 7 presents simulation methodologies for modeling maritime traffic. The intended readership of the book spans both an academic audience and professionals in the areas of Operational Research, Transportation Science, and Maritime Science interested in applying IT methodologies in their areas of expertise.