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This book discusses harnessing the real power of cloud computing in
optimization problems, presenting state-of-the-art computing
paradigms, advances in applications, and challenges concerning both
the theories and applications of cloud computing in optimization
with a focus on diverse fields like the Internet of Things,
fog-assisted cloud computing, and big data. In real life, many
problems - ranging from social science to engineering sciences -
can be identified as complex optimization problems. Very often
these are intractable, and as a result researchers from industry as
well as the academic community are concentrating their efforts on
developing methods of addressing them. Further, the cloud computing
paradigm plays a vital role in many areas of interest, like
resource allocation, scheduling, energy management, virtualization,
and security, and these areas are intertwined with many
optimization problems. Using illustrations and figures, this book
offers students and researchers a clear overview of the concepts
and practices of cloud computing and its use in numerous complex
optimization problems.
Although recommendation systems have become a vital research area
in the fields of cognitive science, approximation theory,
information retrieval and management sciences, they still require
improvements to make recommendation methods more effective and
intelligent. Intelligent Techniques in Recommendation Systems:
Contextual Advancements and New Methods is a comprehensive
collection of research on the latest advancements of intelligence
techniques and their application to recommendation systems and how
this could improve this field of study.
Companies competing on a global scale must endeavor to launch new
initiatives, products, and services aimed to set them apart from
their competitors. Integrating technology and knowledge management
strategies into the product development process is one solution to
remaining relevant in a highly competitive marketplace. Product
Innovation through Knowledge Management and Social Media Strategies
is an authoritative reference source for the latest scholarly
research on the application of social networking platforms to
enhance knowledge sharing and innovative practice within
organizations. Highlighting pertinent theories and techniques for
improving communication and ensuring successful product
development, this book is ideally designed for corporate managers,
organizational leaders, researchers, and professionals interested
in the value of knowledge sharing and social media tools in modern
organizations.
The aim of this book is to understand the state-of-the-art
theoretical and practical advances of swarm intelligence. It
comprises seven contemporary relevant chapters. In chapter 1, a
review of Bacteria Foraging Optimization (BFO) techniques for both
single and multiple criterions problem is presented. A survey on
swarm intelligence for multiple and many objectives optimization is
presented in chapter 2 along with a topical study on EEG signal
analysis. Without compromising the extensive simulation study, a
comparative study of variants of MOPSO is provided in chapter 3.
Intractable problems like subset and job scheduling problems are
discussed in chapters 4 and 7 by different hybrid swarm
intelligence techniques. An attempt to study image enhancement by
ant colony optimization is made in chapter 5. Finally, chapter 7
covers the aspect of uncertainty in data by hybrid PSO.
The origin of agroforestry practices-growing trees and shrubs with
food and fruit crops and grasses is traditional and very old-but
the science of agroforestry is new. Years of experience and
experiments have shown that agroforestry as a land-use system is
capable of yielding both food and wood and at the same time helps
in conserving and rehabilitating the ecosystems. It has the
capability to increase the overall productivity of land, maintain
the nutrient balance in the soil, and above all, protect the
nature. In the recent years, agroforestry has been recommended as a
core subject in the curriculum of B. Sc. (Forestry) and B. Sc.
(Agriculture) courses of agricultural universities. This book has
been divided into ten chapters covering very comprehensive
information on all aspects of agroforestry including history,
concepts, systems classification, tree-crop interactions, planning
and management, diagnosis and design, policy and projects, and
propagation and management practices of multipurpose trees. This
book is co-published with NIPA. Taylor and Francis does not sell or
distribute its print and electronic editions in India, Pakistan,
Nepal, Bhutan, Bangladesh and Sri Lanka.
This edited book describes how newly emerging Artificial
Intelligence (AI) technologies will provide unprecedented
opportunities to penetrate technology and automation into
everything we do, and at the same time, provide a huge playing
field for businesses to develop newer models to capture market
share. It establishes a milestone in understanding global
transformational changes occurring in the manufacturing and
corporate world due to AI and tries to find powerful and
sophisticated solutions that will improve and streamline
operations. Reinventing Manufacturing and Business Processes
Through Artificial Intelligence will be of interest to students,
researchers, and professionals of the AI community as well as
interdisciplinary researchers.
To understand modern science, it is essential to recognize that
many of the most fundamental scientific principles are drawn from
the knowledge of ancient civilizations. Taking a global yet
comprehensive approach to this complex topic, A History of Science
in World Cultures uses a broad range of case studies and examples
to demonstrate that the scientific thought and method of the
present day is deeply rooted in a pluricultural past. Covering
ancient Egypt, Mesopotamia, India, Greece, China, Islam, and the
New World, this volume discusses the scope of scientific and
technological achievements in each civilization and how the
knowledge it developed came to impact the European Renaissance.
Themes covered include the influence these scientific cultures had
upon one another, the power of writing and its technologies,
visions of mathematical order in the universe and how it can be
represented, and what elements of the distant scientific past we
continue to depend upon today. Topics often left unexamined in
histories of science are treated in fascinating detail, such as the
chemistry of mummification and the Great Library in Alexandria in
Egypt, jewellery and urban planning of the Indus Valley, hydraulic
engineering and the compass in China, the sustainable agriculture
and dental surgery of the Mayas, and algebra and optics in Islam.
This book shows that scientific thought has never been confined to
any one era, culture, or geographic region. Clearly presented and
highly illustrated, A History of Science in World Cultures is the
perfect text for all students and others interested in the
development of science throughout history.
To understand modern science, it is essential to recognize that
many of the most fundamental scientific principles are drawn from
the knowledge of ancient civilizations. Taking a global yet
comprehensive approach to this complex topic, A History of Science
in World Cultures uses a broad range of case studies and examples
to demonstrate that the scientific thought and method of the
present day is deeply rooted in a pluricultural past. Covering
ancient Egypt, Mesopotamia, India, Greece, China, Islam, and the
New World, this volume discusses the scope of scientific and
technological achievements in each civilization and how the
knowledge it developed came to impact the European Renaissance.
Themes covered include the influence these scientific cultures had
upon one another, the power of writing and its technologies,
visions of mathematical order in the universe and how it can be
represented, and what elements of the distant scientific past we
continue to depend upon today. Topics often left unexamined in
histories of science are treated in fascinating detail, such as the
chemistry of mummification and the Great Library in Alexandria in
Egypt, jewellery and urban planning of the Indus Valley, hydraulic
engineering and the compass in China, the sustainable agriculture
and dental surgery of the Mayas, and algebra and optics in Islam.
This book shows that scientific thought has never been confined to
any one era, culture, or geographic region. Clearly presented and
highly illustrated, A History of Science in World Cultures is the
perfect text for all students and others interested in the
development of science throughout history.
Use ensemble learning techniques and models to improve your machine
learning results. Ensemble Learning for AI Developers starts you at
the beginning with an historical overview and explains key ensemble
techniques and why they are needed. You then will learn how to
change training data using bagging, bootstrap aggregating, random
forest models, and cross-validation methods. Authors Kumar and Jain
provide best practices to guide you in combining models and using
tools to boost performance of your machine learning projects. They
teach you how to effectively implement ensemble concepts such as
stacking and boosting and to utilize popular libraries such as
Keras, Scikit Learn, TensorFlow, PyTorch, and Microsoft LightGBM.
Tips are presented to apply ensemble learning in different data
science problems, including time series data, imaging data, and
NLP. Recent advances in ensemble learning are discussed. Sample
code is provided in the form of scripts and the IPython notebook.
What You Will Learn Understand the techniques and methods utilized
in ensemble learning Use bagging, stacking, and boosting to improve
performance of your machine learning projects by combining models
to decrease variance, improve predictions, and reduce bias Enhance
your machine learning architecture with ensemble learning Who This
Book Is For Data scientists and machine learning engineers keen on
exploring ensemble learning
This book discusses harnessing the real power of cloud computing in
optimization problems, presenting state-of-the-art computing
paradigms, advances in applications, and challenges concerning both
the theories and applications of cloud computing in optimization
with a focus on diverse fields like the Internet of Things,
fog-assisted cloud computing, and big data. In real life, many
problems - ranging from social science to engineering sciences -
can be identified as complex optimization problems. Very often
these are intractable, and as a result researchers from industry as
well as the academic community are concentrating their efforts on
developing methods of addressing them. Further, the cloud computing
paradigm plays a vital role in many areas of interest, like
resource allocation, scheduling, energy management, virtualization,
and security, and these areas are intertwined with many
optimization problems. Using illustrations and figures, this book
offers students and researchers a clear overview of the concepts
and practices of cloud computing and its use in numerous complex
optimization problems.
The aim of this book is to understand the state-of-the-art
theoretical and practical advances of swarm intelligence. It
comprises seven contemporary relevant chapters. In chapter 1, a
review of Bacteria Foraging Optimization (BFO) techniques for both
single and multiple criterions problem is presented. A survey on
swarm intelligence for multiple and many objectives optimization is
presented in chapter 2 along with a topical study on EEG signal
analysis. Without compromising the extensive simulation study, a
comparative study of variants of MOPSO is provided in chapter 3.
Intractable problems like subset and job scheduling problems are
discussed in chapters 4 and 7 by different hybrid swarm
intelligence techniques. An attempt to study image enhancement by
ant colony optimization is made in chapter 5. Finally, chapter 7
covers the aspect of uncertainty in data by hybrid
PSO.      Â
SUSTAINABLE PRODUCTION INNOVATIONS Presenting the latest
technologies and practices in this ever-changing field, this
groundbreaking new volume covers the gambit for providing solutions
and practical applications of smart and efficient energy systems.
The global and climate changes we are witnessing are primarily
driven by factors such as rising population, economic growth, and
industrialization. These changes have led to an increase in
atmospheric CO2, pollution, deforestation, water scarcity, and
hunger, among other pressing issues. To ensure a green and
sustainable future, it is crucial to harness renewable resources
for the production of fuels, chemicals, and materials. The book,
Sustainable Production Innovations, addresses several bioprocesses
that are integral to our daily lives, tackling important topics
such as biofuel production, energy and food security, and
wastewater management. The commercial interest in biotechnological
processes has grown significantly due to their ability to utilize
biocatalysts such as enzymes, bacteria, plant cells, or animal
cells in bioreactors for the production of medications, health
supplements, foods, biofuels, and chemicals. Switching to
bioproducts offers key benefits such as the sustainability of
third-generation biofuels, CO2 sequestration, effective waste
utilization, and meeting the increasing demand for clean water. The
book explores various procedures used in biomass biorefineries and
bioprocessing for the production of biofuels, biobased chemicals,
and bioproducts. It also delves into advancements in utilizing
oleaginous microorganisms for biofuels and nutraceuticals,
biological wastewater treatment, and microplastic detection
techniques in water. Additionally, the book covers topics such as
biolubricant technologies, bioprocessing of agricultural and forest
waste, biotechnological approaches in the cosmetic industry, and
large-scale applications of nanomaterials for water treatment.
Authored by experts from leading biotechnology research groups
around the world, the book comprises 13 chapters featuring the
latest research in each subject. It is a valuable resource for
scholars in chemical engineering, applied microbiology,
biotechnology, agricultural biotechnology, environmental
biotechnology, and related fields, offering new insights into the
sustainable use of renewable energy and biochemicals.
Professionals, including biochemical engineers, phycologists,
bioprocess engineers, chemical engineers, scientists, and
researchers in the water, food, pharmaceutical, and renewable
energy industries will find this book beneficial. Likewise,
students and faculty in the chemical engineering and energy
departments will gain valuable knowledge from its contents.
This book provides a comprehensive research on Ancient Indian
glass. The contributors include experienced archaeologists of South
Asian glass and archaeological chemists with expertise in the
chemical analysis of glass, besides, established ethnohistorians
and ethnoarchaeologists. It is comprised of five sections, and each
section discusses different aspects of glass study: the origin of
glass and its evolution, its scientific study and its care, ancient
glass in literature and glass ethnography, glass in South Asia and
the diffusion of glass in different parts of the world. The topic
covered by the different chapters ranges from the development of
faience, to the techniques developed for the manufacture of glass
beads, glass bangles or glass mirrors at different times in south
Asia, a major glass producing region and the regional distribution
of key artefacts both within India and outside the region, in
Africa, Europe or Southeast Asia. Some chapters also include
extended examples of the archaeometry of ancient glasses. It makes
an important contribution to archaeological, anthropological and
analytical aspects of glass in South Asia. As such, it represents
an invaluable resource for students through academic and industry
researchers working in archaeological sciences, ancient knowledge
system, pyrotechnology, historical archaeology, social archaeology
and student of anthropology and history with an interest in glass
and the archaeology of South Asia.
Advances in Cyanobacterial Biology presents the novel, practical,
and theoretical aspects of cyanobacteria, providing a better
understanding of basic and advanced biotechnological application in
the field of sustainable agriculture. Chapters have been designed
to deal with the different aspects of cyanobacteria including their
role in the evolution of life, cyanobacterial diversity and
classification, isolation, and characterization of cyanobacteria
through biochemical and molecular approaches, phylogeny and
biogeography of cyanobacteria, symbiosis, Cyanobacterial
photosynthesis, morphological and physiological adaptation to
abiotic stresses, stress-tolerant cyanobacterium, biological
nitrogen fixation. Other topics include circadian rhythms, genetics
and molecular biology of abiotic stress responses, application of
cyanobacteria and cyanobacterial mats in wastewater treatments, use
as a source of novel stress-responsive genes for development of
stress tolerance and as a source of biofuels, industrial
application, as biofertilizer, cyanobacterial blooms, use in
Nano-technology and nanomedicines as well as potential
applications. This book will be important for academics and
researchers working in cyanobacteria, cyanobacterial environmental
biology, cyanobacterial agriculture and cyanobacterial molecular
biologists.
To understand modern science as a coherent story, it is essential
to recognize the accomplishments of the ancient Hindus. They
invented our base-ten number system and zero that are now used
globally, carefully mapped the sky and assigned motion to the Earth
in their astronomy, developed a sophisticated system of medicine
with its mind-body approach known as Ayurveda, mastered
metallurgical methods of extraction and purification of metals,
including the so-called Damascus blade and the Iron Pillar of New
Delhi, and developed the science of self-improvement that is
popularly known as yoga. Their scientific contributions made impact
on noted scholars globally: Aristotle, Megasthenes, and Apollonius
of Tyana among the Greeks; Al-Biruni, Al-Khwarizmi, Ibn Labban, and
Al-Uqlidisi, Al-Ja?iz among the Islamic scholars; Fa-Hien, Hiuen
Tsang, and I-tsing among the Chinese; and Leonardo Fibbonacci, Pope
Sylvester II, Roger Bacon, Voltaire and Copernicus from Europe. In
the modern era, thinkers and scientists as diverse as Ralph Waldo
Emerson, Johann Wolfgang von Goethe, Johann Gottfried Herder, Carl
Jung, Max Muller, Robert Oppenheimer, Erwin Schroedinger, Arthur
Schopenhauer, and Henry David Thoreau have acknowledged their debt
to ancient Hindu achievements in science, technology, and
philosophy. The American Association for the Advancement of Science
(AAAS), one of the largest scientific organizations in the world,
in 2000, published a timeline of 100 most important scientific
finding in history to celebrate the new millennium. There were only
two mentions from the non-Western world: (1) invention of zero and
(2) the Hindu and Mayan skywatchers astronomical observations for
agricultural and religious purposes. Both findings involved the
works of the ancient Hindus. The Ancient Hindu Science is well
documented with remarkable objectivity, proper citations, and a
substantial bibliography. It highlights the achievements of this
remarkable civilization through painstaking research of historical
and scientific sources. The style of writing is lucid and elegant,
making the book easy to read. This book is the perfect text for all
students and others interested in the developments of science
throughout history and among the ancient Hindus, in particular.
Modern science and medicine would be unrecognizable, and far more
primitive, without the immense contribution of the ancient Hindus.
They invented everyday essentials such as our base-ten number
system and zero as a numeral. The ancient Hindus also developed a
sophisticated system of medicine with its mind-body approach known
as Ayurveda; detailed anatomical and surgical knowledge of the
human body, including cataract surgery and the so-called plastic
surgery; metallurgical methods of extraction and purification of
metals, including the so-called Damascus blade; knowledge of
various constellations and planetary motions that was good enough
to assign motion to the Earth; and the science of self-improvement
popularly known as yoga. Sciences of the Ancient Hindus covers
various topics in the natural sciences and systematically uses
Chinese, Egyptian, Greek, Roman, and Middle Eastern accounts
dealing with the ancient Hindus. The works of noted scholars,
Aristotle, Megasthenes, and Apollonius of Tyana among the Greeks;
Al-Biruni, Al-Khwarizmi, Ibn Labban, and Al-Uqlidisi among Islamic
scholars; Fa-Hien, Hiuen Tsang, and I-tsing among the Chinese;
Leonardo Fibbonacci, Pope Sylvester II, Roger Bacon, Voltaire and
Copernicus from Europe, provide the direct testimony of the immense
contributions of the ancient Hindus. In the modern era, thinkers
and scientists as diverse as Goethe, Emerson, Thoreau, Jung,
Oppenheimer, and Schrodinger, to name a few, have acknowledged
their debt to ancient Hindu achievements in science, technology,
and philosophy.
EEG Brain Signal Classification for Epileptic Seizure Disorder
Detection provides the knowledge necessary to classify EEG brain
signals to detect epileptic seizures using machine learning
techniques. Chapters present an overview of machine learning
techniques and the tools available, discuss previous studies,
present empirical studies on the performance of the NN and SVM
classifiers, discuss RBF neural networks trained with an improved
PSO algorithm for epilepsy identification, and cover ABC algorithm
optimized RBFNN for classification of EEG signal. Final chapter
present future developments in the field. This book is a valuable
source for bioinformaticians, medical doctors and other members of
the biomedical field who need the most recent and promising
automated techniques for EEG classification.
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