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Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Unlike some other reproductions of classic texts (1) We have not
used OCR(Optical Character Recognition), as this leads to bad
quality books with introduced typos. (2) In books where there are
images such as portraits, maps, sketches etc We have endeavoured to
keep the quality of these images, so they represent accurately the
original artefact. Although occasionally there may be certain
imperfections with these old texts, we feel they deserve to be made
available for future generations to enjoy.
Focusing on paid work that blurs traditional legal boundaries and
the challenge this poses to traditional forms of labour regulation,
this collection of original case studies illustrates the wide range
of different forms of regulation designed to provide decent work.
The original case studies cover a diversity of workers from across
developed and developing countries, the formal and informal
economies and public and private work spaces. Each deals with the
failings of traditional labour law, and several explore the
capacity of different forms of regulatory techniques, such as
commercial law, corporate codes of conduct, or supply chain
regulation, to protect workers.
This book gravitates on the prominent theories and recent
developments of swarm intelligence methods, and their application
in both synthetic and real-world optimization problems. The special
interest will be placed in those algorithmic variants where
biological processes observed in nature have underpinned the core
operators underlying their search mechanisms. In other words, the
book centers its attention on swarm intelligence and
nature-inspired methods for efficient optimization and problem
solving. The content of this book unleashes a great opportunity for
researchers, lecturers and practitioners interested in swarm
intelligence, optimization problems and artificial intelligence.
This book reviews the latest developments in nature-inspired
computation, with a focus on the cross-disciplinary applications in
data mining and machine learning. Data mining, machine learning and
nature-inspired computation are current hot research topics due to
their importance in both theory and practical applications.
Adopting an application-focused approach, each chapter introduces a
specific topic, with detailed descriptions of relevant algorithms,
extensive literature reviews and implementation details. Covering
topics such as nature-inspired algorithms, swarm intelligence,
classification, clustering, feature selection, cybersecurity,
learning algorithms over cloud, extreme learning machines, object
categorization, particle swarm optimization, flower pollination and
firefly algorithms, and neural networks, it also presents case
studies and applications, including classifications of
crisis-related tweets, extraction of named entities in the Tamil
language, performance-based prediction of diseases, and healthcare
services. This book is both a valuable a reference resource and a
practical guide for students, researchers and professionals in
computer science, data and management sciences, artificial
intelligence and machine learning.
This book gathers selected high-quality papers presented at the
International Conference on Machine Learning and Computational
Intelligence (ICMLCI-2019), jointly organized by Kunming University
of Science and Technology and the Interscience Research Network,
Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually
all aspects of intelligent systems, soft computing and machine
learning, the topics covered include: prediction; data mining;
information retrieval; game playing; robotics; learning methods;
pattern visualization; automated knowledge acquisition; fuzzy,
stochastic and probabilistic computing; neural computing; big data;
social networks and applications of soft computing in various
areas.
This book reviews the state-of-the-art developments in
nature-inspired algorithms and their applications in various
disciplines, ranging from feature selection and engineering design
optimization to scheduling and vehicle routing. It introduces each
algorithm and its implementation with case studies as well as
extensive literature reviews, and also includes self-contained
chapters featuring theoretical analyses, such as convergence
analysis and no-free-lunch theorems so as to provide insights into
the current nature-inspired optimization algorithms. Topics include
ant colony optimization, the bat algorithm, B-spline curve fitting,
cuckoo search, feature selection, economic load dispatch, the
firefly algorithm, the flower pollination algorithm, knapsack
problem, octonian and quaternion representations, particle swarm
optimization, scheduling, wireless networks, vehicle routing with
time windows, and maximally different alternatives. This timely
book serves as a practical guide and reference resource for
students, researchers and professionals.
In the face of globalization s massive social and economic
transformations and the resulting persistent inequality, activists,
labor organizers, and advocacy NGOs are seeking and creating change
beyond the confines of formal state politics and across national
borders. Given the breadth of local issues activists face, the ways
they define the problem and seek redress vary widely. This book
provides a unique perspective on these efforts, gathering into one
volume concrete examples of the implementation of different
strategies for social change that highlight the challenges
involved. This provides useful lessons for those involved in social
change, as well as for those studying it. Contributors to the
volume are scholars and practitioners around the world, and they
draw on strong connections with people working in the field to
improve working conditions and environmental standards of global
production systems. This allows readers to develop a more
comprehensive and grounded understanding of strategies for social
change. This book maintains a strong balance between breadth and
specificity. It provides an overview of the themes of social
change, which contextualizes and draws common threads from the
chapters grounded in specific geographic locations and political
spaces of change. The chapters analyze environmental and social
problems and the varying degrees of success activists have had in
regulating industries, containing environmental hazards, and/or
harnessing aspects of an industry for positive social and economic
change. Contributors draw upon different ways of creating change,
which include corporate social responsibility schemes, fair trade
regimes, and community radio. By providing insight into the
potential and limitations of actions taken at different levels, the
book encourages a critical perspective on efforts for social
change, grounded in an understanding of how conditions around the
world can affect these activities. For discussion questions for
each chapter, see: http: //www.bluestockinginstitute.org/#
lessons/ct5n"
This book discusses the intelligent optimization and control of
complex metallurgical processes, including intelligent optimization
and control of raw-material proportioning processes, coking
process, and reheating furnaces; intelligent control of thermal
state parameters in sintering processes; and intelligent decoupling
control of gas collection and mixing-and-pressurization processes.
The intelligent control and optimization methods presented were
originally applied to complex metallurgical processes by the
authors, and their effectiveness and their advantages have been
theoretically proven and demonstrated practically. This book offers
an up-to-date overview of this active research area, and provides
readers with state-of-the-art methods for the control of complex
metallurgical processes.
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