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This book comprises select papers from the International Conference
on Artificial Intelligence and Sustainable Engineering (AISE 2020).
The volume focuses on the recent advancements in artificial
intelligence and addresses how it is useful in achieving truly
sustainable solutions. The key strands of this book include
artificial intelligence in healthcare, IoT for modern life,
security and surveillance, big data analytics, machine learning and
computing, communication technologies, gesture technology, virtual
intelligence, and audio & speech processing. The book addresses
sustainability challenges in various computing techniques and
opportunities for sustainable engineering based on AI and
supporting tools such as engineering design for sustainable
development using IoT/AI, smart cities: waste minimization,
remanufacturing, reuse and recycling technologies using IoT/AI,
industry 4.0, intelligent and smart grid systems, energy
conservation using technology, green engineering/technology,
robotic process automation (RPA) and water and air quality
management. This book can be a valuable resource for academicians,
researchers, and professionals working in AI and its applications.
This book comprises select papers from the International Conference
on Artificial Intelligence and Sustainable Engineering (AISE 2020).
The volume focuses on the recent advancements in artificial
intelligence and addresses how it is useful in achieving truly
sustainable solutions. The key strands of this book include
artificial intelligence in healthcare, IoT for modern life,
security and surveillance, big data analytics, machine learning and
computing, communication technologies, gesture technology, virtual
intelligence, and audio & speech processing. The book addresses
sustainability challenges in various computing techniques and
opportunities for sustainable engineering based on AI and
supporting tools such as engineering design for sustainable
development using IoT/AI, smart cities: waste minimization,
remanufacturing, reuse and recycling technologies using IoT/AI,
industry 4.0, intelligent and smart grid systems, energy
conservation using technology, green engineering/technology,
robotic process automation (RPA) and water and air quality
management. This book can be a valuable resource for academicians,
researchers, and professionals working in AI and its applications.
The re-entry of foreign-based businesses into Cuba will require
a complete overhaul of Cuba's laws and legal institutions. It will
also require enactment of major new legislation there, designed to
enable and facilitate modern business transactions. Travieso-Diaz
identifies these necessary legal, political, and economic changes,
integrating legal and economic concepts in a way that
businesspeople can understand and use in determining when it will
be safe for them to reestablish business ties with Cuba. An
important, readable resource for corporate management and their
academic colleagues specializing in international business, trade,
and investment.
Using a practical, results-oriented approach, Travieso-Diaz
organizes his book into three parts. In Part One, he discusses the
specific political and economic changes that must occur and how
U.S. policy must be modified to permit resumption of commerce
between the two countries. Part Two covers the main legal concerns
of a foreign business entity seeking to invest in Cuba, such as the
resolution of property confiscation claims by U.S. and Cuban
nationals, the enactment of a suitable foreign investment law, and
the development of a program for the privatization of state-owned
enterprises. Part Three surveys other legal issues important to
foreign investors and to others who prefer trade with Cuba, rather
than investment in it. Travieso-Diaz also provides checklists of
changes that must occur in each area he covers--trade, investment,
privatization--to provide business decisionmakers with a way of
determining when it makes sense to enter the Cuban market. He also
identifies the laws that the Cuban government must enact, and the
most favorable form they should take, to encourage full
participation from other nations.
This book comprises select papers from the International Conference
on Artificial Intelligence and Sustainable Engineering (AISE 2020).
The volume focuses on the recent advancements in artificial
intelligence and addresses how it is useful in achieving truly
sustainable solutions. The key strands of this book include
artificial intelligence in healthcare, IoT for modern life,
security and surveillance, big data analytics, machine learning and
computing, communication technologies, gesture technology, virtual
intelligence, and audio & speech processing. The book addresses
sustainability challenges in various computing techniques and
opportunities for sustainable engineering based on AI and
supporting tools such as engineering design for sustainable
development using IoT/AI, smart cities: waste minimization,
remanufacturing, reuse and recycling technologies using IoT/AI,
industry 4.0, intelligent and smart grid systems, energy
conservation using technology, green engineering/technology,
robotic process automation (RPA) and water and air quality
management. This book can be a valuable resource for academicians,
researchers, and professionals working in AI and its applications.
This book features a collection of high-quality, peer-reviewed
papers presented at the Fourth International Conference on
Intelligent Computing and Communication (ICICC 2020) organized by
the Department of Computer Science and Engineering and the
Department of Computer Science and Technology, Dayananda Sagar
University, Bengaluru, India, on 18-20 September 2020. The book is
organized in two volumes and discusses advanced and
multi-disciplinary research regarding the design of smart computing
and informatics. It focuses on innovation paradigms in system
knowledge, intelligence and sustainability that can be applied to
provide practical solutions to a number of problems in society, the
environment and industry. Further, the book also addresses the
deployment of emerging computational and knowledge transfer
approaches, optimizing solutions in various disciplines of science,
technology and health care.
This book features a collection of high-quality, peer-reviewed
papers presented at the Fourth International Conference on
Intelligent Computing and Communication (ICICC 2020) organized by
the Department of Computer Science and Engineering and the
Department of Computer Science and Technology, Dayananda Sagar
University, Bengaluru, India, on 18-20 September 2020. The book is
organized in two volumes and discusses advanced and
multi-disciplinary research regarding the design of smart computing
and informatics. It focuses on innovation paradigms in system
knowledge, intelligence and sustainability that can be applied to
provide practical solutions to a number of problems in society, the
environment and industry. Further, the book also addresses the
deployment of emerging computational and knowledge transfer
approaches, optimizing solutions in various disciplines of science,
technology and health care.
This book presents recent advancements in Industry 4.0 and
addresses how these can be useful in achieving sustainable
solutions in Society 5.0. The book also serves as a reference for
developing sustainable engineering solutions to various
socio-economic and techno-commercial issues. The book is
meticulously structured into two sections: Section I sheds light on
fundamentals, nitty-gritties, and principles of technological
innovations and advancement in artificial intelligence, cloud
computing, industrial Internet of Things (IIOT), and Society 5.0,
whereas Section II covers viable engineering solutions developments
for revamping Industry 4.0 to Society 5.0. Overall, the authors aim
to show how technological advancements can be used to address
social issues and improve society.
This book constitutes the proceedings of the 5th International
Conference on Nonlinear Speech Processing, NoLISP 2011, held in Las
Palmas de Gran Canaria, Spain, in November 2011. The purpose of the
workshop is to present and discuss new ideas, techniques and
results related to alternative approaches in speech processing that
may depart from the main stream. The 33 papers presented together
with 2 keynote talks were carefully reviewed and selected for
inclusion in this book. The topics of NOLISP 2011 were non-linear
approximation and estimation; non-linear oscillators and
predictors; higher-order statistics; independent component
analysis; nearest neighbors; neural networks; decision trees;
non-parametric models; dynamics of non-linear systems; fractal
methods; chaos modeling; and non-linear differential equations.
The proceeding presents best selected papers presented at 5th
International Conference on Smart Computing and Informatics (SCI
2021), held at Department of Computer Science and Engineering,
Vasvi College of Engineering, Hyderabad, Telangana, India, during
17 - 18 September 2021. It presents advanced and multi-disciplinary
research towards the design of smart computing and informatics. The
theme is on a broader front focuses on various innovation paradigms
in system knowledge, intelligence and sustainability that may be
applied to provide realistic solutions to varied problems in
society, environment and industries. The scope is also extended
towards the deployment of emerging computational and knowledge
transfer approaches, optimizing solutions in various disciplines of
science, technology and healthcare. The work is published in two
volumes.
This book outlines the recent advancements in the field of
artificial intelligence (AI) and addresses how useful it is in
achieving truly sustainable solutions. The book also serves as a
useful reference literature in developing sustainable engineering
solutions to various social and techno-commercial issues of global
significance. This book is organized into two sections: section 1
is focused on fundamentals and principles of AI to lay the
groundwork for the second section. Section 2 explores the
sustainable engineering solutions development using AI, which
addresses challenges in various computing techniques and
opportunities in engineering design for sustainable development
using IoT/AI and smart cities. Applications include waste
minimization, re-manufacturing, reuse and recycling technologies
using IoT/AI, Industry 4.0, intelligent and smart grid systems,
energy conservation using technology, and robotic process
automation (RPA). The book is ideal for the engineers, researchers
and students interested in how AI can aid in sustainable
development applications.
This book comprises select papers from the International Conference
on Artificial Intelligence and Sustainable Engineering (AISE 2020).
The volume focuses on the recent advancements in artificial
intelligence and addresses how it is useful in achieving truly
sustainable solutions. The key strands of this book include
artificial intelligence in healthcare, IoT for modern life,
security and surveillance, big data analytics, machine learning and
computing, communication technologies, gesture technology, virtual
intelligence, and audio & speech processing. The book addresses
sustainability challenges in various computing techniques and
opportunities for sustainable engineering based on AI and
supporting tools such as engineering design for sustainable
development using IoT/AI, smart cities: waste minimization,
remanufacturing, reuse and recycling technologies using IoT/AI,
industry 4.0, intelligent and smart grid systems, energy
conservation using technology, green engineering/technology,
robotic process automation (RPA) and water and air quality
management. This book can be a valuable resource for academicians,
researchers, and professionals working in AI and its applications.
The proceeding presents best selected papers presented at
5th International Conference on Smart Computing and
Informatics (SCI 2021), held at Department of Computer Science and
Engineering, Vasvi College of Engineering, Hyderabad, Telangana,
India, during 17 – 18 September 2021. It presents advanced and
multi-disciplinary research towards the design of smart computing
and informatics. The theme is on a broader front focuses on various
innovation paradigms in system knowledge, intelligence and
sustainability that may be applied to provide realistic solutions
to varied problems in society, environment and industries. The
scope is also extended towards the deployment of emerging
computational and knowledge transfer approaches, optimizing
solutions in various disciplines of science, technology and
healthcare. The work is published in two volumes.
This book outlines the recent advancements in the field of
artificial intelligence (AI) and addresses how useful it is in
achieving truly sustainable solutions. The book also serves as a
useful reference literature in developing sustainable engineering
solutions to various social and techno-commercial issues of global
significance. This book is organized into two sections: section 1
is focused on fundamentals and principles of AI to lay the
groundwork for the second section. Section 2 explores the
sustainable engineering solutions development using AI, which
addresses challenges in various computing techniques and
opportunities in engineering design for sustainable development
using IoT/AI and smart cities. Applications include waste
minimization, re-manufacturing, reuse and recycling technologies
using IoT/AI, Industry 4.0, intelligent and smart grid systems,
energy conservation using technology, and robotic process
automation (RPA). The book is ideal for the engineers, researchers
and students interested in how AI can aid in sustainable
development applications.
As the Latino population continues to rise in the United States and
the number of Latino children entering the public schools
increases, it is vital to consider the opportunities and the
challenges they face learning a second language. This book analyzes
the impact of the policies of the No Child Left Behind Act (2001)
on the teaching and learning of 10 Latino English language learners
(ELL) in an urban high school in Virginia. Learning a second
language is a daunting task for immigrants transitioning to a new
language and environment. Using ethnographic methodology, the
researcher examined the interconnectedness of the federal policy
(NCLB) with the pedagogy employed by faculty to support a learning
climate for English language learners. Pedagogy that was built on
respect, cultural identity, and critical thinking skills helped
learners become actively engaged. The practices of caring teachers
enabled them to serve as advocates, helped forge relationships of
respect and trust, and encouraged students to succeed academically.
The students' voices said it themselves, "Qu nos d una chanza "
Give us a chance ]
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