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Showcases the state-of-the-art research in the area of AI with
specific consideration to engineering, management and safety of
civil construction. Offers detailed insights towards applying AI
into design, construction and maintenance of infrastructure
Leverages the various sub-disciplines of AI to arrive at modern,
smart, and safe infrastructure as well as achieve a synergy between
users/commuters and such structures. Covers practical case studies
of primary interest to students, researchers, engineers, social
scientists and government officials.
This book examines whether a global consensus is emerging on
climate change and human mobility and presents evidence of a
slow-moving but dynamic, step-by-step process of international
policy development on climate-related mobility. Naser reviews the
range of solutions offered to address climate-related mobility
problems, such as extending the 1951 UN Refugee Convention,
adopting an additional protocol to the UNFCCC or creating a new
international treaty to support those facing climate-related
migration and displacement problems. He examines the accumulating
stock of international policies and initiatives relevant to
climate-related mobility using a framework of six policy areas:
human rights, refugees, climate change, disaster risk reduction,
migration,and sustainable development. He uses this framework to
define and summarise the main UN actions and milestones on
climate-related mobility. Despite the difficult context affecting
the global community of worsening climate change impacts and human
rights under threat, Naser asserts that the foundations of global
consensus on climate-related mobility have been built, particularly
in the last decade. This book will be of great relevance to
students, scholars and policy-makers with an interest in the
increasing interface between climate change and human mobility
policy issues.
This book examines whether a global consensus is emerging on
climate change and human mobility and presents evidence of a
slow-moving but dynamic, step-by-step process of international
policy development on climate-related mobility. Naser reviews the
range of solutions offered to address climate-related mobility
problems, such as extending the 1951 UN Refugee Convention,
adopting an additional protocol to the UNFCCC or creating a new
international treaty to support those facing climate-related
migration and displacement problems. He examines the accumulating
stock of international policies and initiatives relevant to
climate-related mobility using a framework of six policy areas:
human rights, refugees, climate change, disaster risk reduction,
migration,and sustainable development. He uses this framework to
define and summarise the main UN actions and milestones on
climate-related mobility. Despite the difficult context affecting
the global community of worsening climate change impacts and human
rights under threat, Naser asserts that the foundations of global
consensus on climate-related mobility have been built, particularly
in the last decade. This book will be of great relevance to
students, scholars and policy-makers with an interest in the
increasing interface between climate change and human mobility
policy issues.
Accessible and practical framework for machine learning
applications and solutions for civil and environmental engineers
This textbook introduces engineers and engineering students to the
applications of artificial intelligence (AI), machine learning
(ML), and machine intelligence (MI) in relation to civil and
environmental engineering projects and problems, presenting
state-of-the-art methodologies and techniques to develop and
implement algorithms in the engineering domain. Through real-world
projects like analysis and design of structural members, optimizing
concrete mixtures for site applications, examining concrete
cracking via computer vision, evaluating the response of bridges to
hazards, and predicating water quality and energy expenditure in
buildings, this textbook offers readers in-depth case studies with
solved problems that are commonly faced by civil and environmental
engineers. The approaches presented range from simplified to
advanced methods, incorporating coding-based and coding-free
techniques. Professional engineers and engineering students will
find value in the step-by-step examples that are accompanied by
sample databases and codes for readers to practice with. Written by
a highly qualified professional with significant experience in the
field, Machine Learning includes valuable information on: The
current state of machine learning and causality in civil and
environmental engineering as viewed through a scientometrics
analysis, plus a historical perspective Supervised vs. unsupervised
learning for regression, classification, and clustering problems
Explainable and causal methods for practical engineering problems
Database development, outlining how an engineer can effectively
collect and verify appropriate data to be used in machine
intelligence analysis A framework for machine learning adoption and
application, covering key questions commonly faced by practitioners
This textbook is a must-have reference for undergraduate/graduate
students to learn concepts on the use of machine learning, for
scientists/researchers to learn how to integrate machine learning
into civil and environmental engineering, and for
design/engineering professionals as a reference guide for
undertaking MI design, simulation, and optimization for
infrastructure.
The past few years have demonstrated how civil infrastructure
continues to experience an unprecedented scale of extreme loading
conditions (i.e. hurricanes, wildfires and earthquakes). Despite
recent advancements in various civil engineering disciplines,
specific to the analysis, design and assessment of structures, it
is unfortunate that it is common nowadays to witness large scale
damage in buildings, bridges and other infrastructure. The
analysis, design and assessment of infrastructure comprises of a
multitude of dimensions spanning a highly complex paradigm across
material sciences, structural engineering, construction and
planning among others. While traditional methods fall short of
adequately accounting for such complexity, fortunately,
computational intelligence presents novel solutions that can
effectively tackle growing demands of intense extreme events and
modern designs of infrastructure – especially in this era where
infrastructure is reaching new heights and serving larger
populations with high social awareness and expectations.
Computational Intelligence for Analysis, Design and Assessment of
Civil Infrastructure highlights the growing trend of fostering the
use of CI to realize contemporary, smart and safe infrastructure.
This is an emerging area that has not fully matured yet and hence
the book will draw considerable interest and attention. In a sense,
the book presents results of innovative efforts supplemented with
case studies from leading researchers that can be used as
benchmarks to carryout future experiments and/or facilitate
development of future experiments and advanced numerical models.
The book is written with the intention to serve as a guide for a
wide audience including senior postgraduate students, academic and
industrial researchers, materials scientists and practicing
engineers working in civil, structural and mechanical engineering.
This handbook aims at modernizing the current state of civil
engineering and firefighting, especially in this era where
infrastructures are reaching new heights, serving diverse
populations, and being challenged by unique threats. Its aim is to
set the stage toward realizing contemporary, smart, and resilient
infrastructure. The Handbook of Cognitive and Autonomous
Systems for Fire Resilient Infrastructures draws convergence
between civil engineering and firefighting to the modern realm of
interdisciplinary sciences (i.e., artificial intelligence, IoT,
robotics, sensing, and human psychology). As such, this work aims
to revolutionize the current philosophy of design for one of the
most notorious extreme events:Â fire. Unlike other
publications, which are narrowed to one specific research area,
this handbook cultivates a paradigm in which critical aspects of
structural design, technology, and human behavior are studied and
examined through chapters written by leaders in their fields. This
handbook can also serve as a textbook for graduate and senior
undergraduate students in Civil, Mechanical, and Fire Protection
engineering programs as well as for students in Architectural and
social science disciplines. Students, engineers, academics,
professionals, scientists, firefighters, and government officials
involved in national and international societies such as the
American Society of Civil Engineers (ASCE), Society of Fire
Protection Engineers (SFPE), National Fire Protection Association
(NFPA), and Institute of Electrical and Electronics Engineers
(IEEE), among others, will benefit from this handbook.
This handbook aims at modernizing the current state of civil
engineering and firefighting, especially in this era where
infrastructures are reaching new heights, serving diverse
populations, and being challenged by unique threats. Its aim is to
set the stage toward realizing contemporary, smart, and resilient
infrastructure. The Handbook of Cognitive and Autonomous Systems
for Fire Resilient Infrastructures draws convergence between civil
engineering and firefighting to the modern realm of
interdisciplinary sciences (i.e., artificial intelligence, IoT,
robotics, sensing, and human psychology). As such, this work aims
to revolutionize the current philosophy of design for one of the
most notorious extreme events: fire. Unlike other publications,
which are narrowed to one specific research area, this handbook
cultivates a paradigm in which critical aspects of structural
design, technology, and human behavior are studied and examined
through chapters written by leaders in their fields. This handbook
can also serve as a textbook for graduate and senior undergraduate
students in Civil, Mechanical, and Fire Protection engineering
programs as well as for students in Architectural and social
science disciplines. Students, engineers, academics, professionals,
scientists, firefighters, and government officials involved in
national and international societies such as the American Society
of Civil Engineers (ASCE), Society of Fire Protection Engineers
(SFPE), National Fire Protection Association (NFPA), and Institute
of Electrical and Electronics Engineers (IEEE), among others, will
benefit from this handbook.
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