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This new two-volume addresses a number of state-of-the-art
developments and unsolved open issues in the field of computational
intelligence. Volume 1 focuses on data science and artificial
intelligence. It highlights the use of predictive analytics of data
from various application domains to find timely solutions to
various problems. The book focuses on the research developments,
limitations, and management of real-time problems using
computational intelligence by identifying applicable approaches in
order to enhance, automate, and develop effective solutions. The
volume introduces empirical research, prospects of theoretical
research, and applications in data science and artificial
intelligence. The chapters present diverse application of computer
intelligence and machine learning in security, healthcare and
medicine, agriculture, traffic science/smart cities, and language
and text conversion. Volume 2 demonstrates empirical, theoretical,
and application perspectives on smart technologies, computational
intelligence in network technologies, and computational
intelligence in software engineering, identifying the advantages
and limitations of each. The chapters on smart technologies address
their application in such areas as communication services,
healthcare and assistive technology, urban waste management,
vehicle pollution and accident detection, and more. The
technologies encompass the use of machine learning, blockchain, fog
computing, satellite communication technology, ant colony
optimization algorithms, etc. Together, these two volumes offer new
research on presented by young and dynamic researchers and experts
from industry and academia, sharing a plethora of new and emerging
technologies that support their effective operations in
computational intelligence in information systems. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems’ (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
The new book presents a valuable selection of new and
state-of-the-art technological advancements in various application
areas using the concepts of AI and machine learning, highlighting
the use of predictive analytics of data from various application
domains to find timely solutions to various problems. The book
focuses on the research developments, limitations, and management
of real-time problems using computational intelligence by
identifying applicable approaches in order to enhance, automate,
and develop effective solutions. The volume introduces empirical
research, prospects of theoretical research, and applications in
data science and artificial intelligence. The various novel
approaches include applications in healthcare, natural language
processing, and smart cities. As such, the book is divided into
sections that address: Computational Intelligence in Image
Processing Computational Intelligence in Healthcare Techniques for
Natural Language Processing Computational Intelligence in Smart
Cities The very diverse range of topics include AI and machine
learning applications for In security: For using digital image
processing for image fusion (face recognition, feature extraction,
object detection as well tracking, moving object identification),
for person re-identification for security purposes. In healthcare
and medicine: For diagnosis and prediction of breast cancer, other
cancers, diabetes, heart disease; for predicting susceptibility to
COVID-19; for prediction of mood and anxiety disorders. In
agriculture: For prediction of crop profit; for prediction of
cropping patterns and recommendation for crop cultivation. In
traffic science/smart cities: For understanding road scene images,
for detection of traffic signs, for devising a fog-based
intelligent traffic phase timing regulation system In
language/speech/text: For automatic text summarization, for
document indexing for unstructured data, for speech/accent
recognition, for sound separation, for American Sign Language
interpretation for nonsigners, for emotional recognition and
analysis through speech, body postures with facial expressions, and
other body movements (to improve the performance of virtual
personal assistants / emotion recognition using speech, body
postures with facial expressions and other body movements. This
volume offers valuable information for researchers working in
interdisciplinary or multidisciplinary areas of healthcare, image
analysis, natural language processing, and smart cities. This
includes academicians, people in industry, and students with
engineering background with research interest in these areas. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
This new volume presents a selection of state-of-the-art
technological advancements in various application areas of IoT,
network technologies, and software engineering that address
unsolved open issues in the field of computational intelligence.
The volume focuses on empirical, theoretical, and application
perspectives on smart technologies, computational intelligence in
network technologies, and computational intelligence in software
engineering, identifying the advantages and limitations of each.
The chapters on smart technologies address their application in
such areas as communication services, healthcare and assistive
technology, urban waste management, vehicle pollution and accident
detection, and more. The technologies encompass the use of machine
learning, blockchain, fog computing, etc. The volume goes on to
discuss computational intelligence in network technologies. These
include comparisons of cryptography mechanisms, internet privacy
protection, satellite communication technology, ant colony
optimization algorithms, etc. The topics on computational
intelligence in software engineering include security optimization
via software-defined networking (SDN), education-based interactive
automated agent, data warehouse requirement engineering, and more.
The research contributions presented here by young and dynamic
researchers and experts from industry and academia share a host of
emerging technologies that support their effective operations in
computational intelligence in information systems. These
peer-review chapters were selected from the International
Conference on Computational Intelligence in Analytics and
Information Systems (CIAIS- 2021), held in April 2021 at Manav
Rachna University, India.
Software Security: Concepts & Practices is designed as a
textbook and explores fundamental security theories that govern
common software security technical issues. It focuses on the
practical programming materials that will teach readers how to
implement security solutions using the most popular software
packages. It's not limited to any specific cybersecurity subtopics
and the chapters touch upon a wide range of cybersecurity domains,
ranging from malware to biometrics and more. Features The book
presents the implementation of a unique socio-technical solution
for real-time cybersecurity awareness. It provides comprehensible
knowledge about security, risk, protection, estimation, knowledge
and governance. Various emerging standards, models, metrics,
continuous updates and tools are described to understand security
principals and mitigation mechanism for higher security. The book
also explores common vulnerabilities plaguing today's web
applications. The book is aimed primarily at advanced
undergraduates and graduates studying computer science, artificial
intelligence and information technology. Researchers and
professionals will also find this book useful.
Covers detailed state-of-the-art of specific chemiresistive sensing
materials Presents novel nano-material platforms and concepts for
resistive gas sensing Reviews pertinent aspects of smart sensors
and IoT sensing Explains nanotechnology enabled experimental
findings, and future directions of smart gas sensing technology
Explores implication of latest advancements such as IoT in Gas
sensors, and nanogenerators
This new volume introduces various VLSI (very-large-scale
integration) architecture for DSP filters, speech filters, and
image filters, detailing their key applications and discussing
different aspects and technologies used in VLSI design, models and
architectures, and more. The volume explores the major challenges
with the aim to develop real-time hardware architecture designs
that are compact and accurate. Knowledge of VLSI is necessary for
understanding today’s contemporary hardware prospects of
engineering. It is the process of creating an integrated circuit by
combining millions of MOS transistors onto a single chip that is
needed for handheld portable battery-operated devices that require
efficient, errorless, and low-power arithmetic operation. VLSI
plays a most important role in the performance of digital systems,
digital signal processing (DSP), image processing applications,
hardware security, quantum computing, etc. Especially in DSP
systems, the algorithms of VLSI have a number of interesting
characteristics that can be exploited in the design of the
arithmetic circuits so that they can be implemented more
efï¬ciently in terms of computation time, chip area, and power
consumption. This volume, VLSI Architecture for Signal, Speech, and
Image Processing, provides useful research in the field of computer
arithmetic and can be applied for various arithmetic circuits, for
their digital implementation schemes, and for performance
considerations. It covers how computer arithmetic contributes to
the era of quantum computing, hardware security, image processing,
biomedical engineering, artificial intelligence, neural networks,
and stochastic computing. Prepared by leading researchers in the
field of computer arithmetic architecture, the state-of-the-art
information presented here helps to provide a comprehensive
understanding of VLSI for students, faculty, and researchers in
computer science, computer engineering, and electrical and
electronics engineering. It may be used as a textbook for courses
on VLSI as well as a reference book.
Nanomaterials for Environmental Applications offers a comprehensive
review of the latest advances in nanomaterials-based technologies
for the treatment of emerging contaminants in wastewater. It
describes the latest developments in the synthesis protocols,
including the synthesis of different kinds of nanostructure
materials using various physical and chemical methods. Features
Discusses the synthesis and characterization of important
nanomaterials such as carbon nanostructures, metal and metal oxide
nanostructures, polymer nanostructures, and smart 1D--3D
nanomaterials Presents the latest techniques used in the
characterization of nanomaterials Covers environmental applications
including the remediation of pollutants in wastewater and water
purification and disinfection Examines the sources, fate,
transport, and ecotoxicology of nanomaterials in the environment.
Aimed at researchers and industry professionals, this work will be
of interest to chemical, environmental, and materials engineers
concerned with the application of advanced materials for
environmental and water remediation. Mohamed Abou El-Fetouh Barakat
is a Professor of Environmental Sciences at both King Abdulaziz
University (KAU)- Saudi Arabia, and Central Metallurgical R&D
Institute (CMRDI)- Egypt. He is highly qualified in the fields of
industrial waste management and pollution control as well as
catalysis and nanotechnology. His experience includes academic
research works in Japan, Germany, the United States and Saudi
Arabia, as well as initiating and leading industrial research
projects in Egypt jointly with the United States. Rajeev Kumar is
an Associate Professor in the Environmental Science Department,
King Abdulaziz University, Jeddah, Saudi Arabia. His research
activities are in the areas of wastewater treatment and materials
science. He studies the adsorption and photocatalytic properties of
nanomaterials for the removal of contaminants from wastewater.
Encyclopedic in breadth, yet practical and concise, Medical
Biostatistics, Fourth Edition focuses on the statistical aspects
ofmedicine with a medical perspective, showing the utility of
biostatistics as a tool to manage many medical uncertainties. This
edition includes more topics in order to fill gaps in the previous
edition. Various topics have been enlarged and modified as per the
new understanding of the subject.
This book provides the detail information about nanoparticles,
their types, characterization techniques such as TEM, FESEM, AFM,
XRD etc. nanogenotoxicity, metal and metal oxide nanoparticle's
toxicity, physical and chemical characterization of nanomaterials,
entry routes, cell-nano interaction studies, possible impacts to
the human kind, and on the methods of evaluating the toxicity. It
puts together comprehensive and up-to-date information about
sustainable approaches in making an eco-friendly environment using
advanced nanotechnologies. It educated readers about the new
frontiers and scope of employing various state-of-art
nano-technologies to clean-up and save our environment. This book
will be of interest to teachers, researchers, environmental
biotechnologists, capacity builders and policymakers. Also the book
serves as additional reading material for undergraduate and
graduate students of agriculture, environmental sciences,
environmental engineering and biotechnology.
Wireless network security research is multidisciplinary in nature,
including data analysis, economics, mathematics, forensics,
information technology, and computer science. This text covers
cutting-edge research in computational intelligence systems from
diverse fields on the complex subject of wireless communication
security. It discusses important topics including computational
intelligence in wireless network and communications, artificial
intelligence and wireless communication security, security risk
scenarios in communications, security/resilience metrics and their
measurements, data analytics of cyber-crimes, modeling of wireless
communication security risks, advances in cyber threats and
computer crimes, adaptive and learning techniques for secure
estimation and control, decision support systems, fault tolerance
and diagnosis, cloud forensics and information systems, and
intelligent information retrieval. The book: Discusses
computational algorithms for system modeling and optimization in
security perspective Focuses on error prediction and fault
diagnosis through intelligent information retrieval via wireless
technologies Explores a group of practical research problems where
security experts can help develop new data-driven methodologies
Covers application on artificial intelligence and wireless
communication security risk perspective The text is primarily
written for senior undergraduate, graduate students, and
researchers in the fields of electrical engineering, electronics
and communication engineering, and computer engineering. The text
comprehensively discusses wide range of wireless communication
techniques with emerging computational intelligent trends, to help
readers understand the role of wireless technologies in
applications touching various spheres of human life with the help
of hesitant fuzzy sets based computational modeling. It will be a
valuable resource for senior undergraduate, graduate students, and
researchers in the fields of electrical engineering, electronics
and communication engineering, and computer engineering.
This book provides the detail information about nanoparticles,
their types, characterization techniques such as TEM, FESEM, AFM,
XRD etc. nanogenotoxicity, metal and metal oxide nanoparticle's
toxicity, physical and chemical characterization of nanomaterials,
entry routes, cell-nano interaction studies, possible impacts to
the human kind, and on the methods of evaluating the toxicity. It
puts together comprehensive and up-to-date information about
sustainable approaches in making an eco-friendly environment using
advanced nanotechnologies. It educated readers about the new
frontiers and scope of employing various state-of-art
nano-technologies to clean-up and save our environment. This book
will be of interest to teachers, researchers, environmental
biotechnologists, capacity builders and policymakers. Also the book
serves as additional reading material for undergraduate and
graduate students of agriculture, environmental sciences,
environmental engineering and biotechnology.
Software evolution is a time-consuming and costly process due to
its complex architecture. Software designers need to produce
software that is effective as well as durable. Durability and
effectiveness of software are the foremost priorities and
challenges for developers. This book comprises real-life case
studies of durability issues and their solutions that bring to
light loopholes and show how to fix them, to enhance durability.
Existing literature on software durability tells us that the first
step is to recognise the problem. It gives information about
durability, risk, estimation, knowledge, and governance based on
five main characteristics: dependability, trustworthiness,
usability, security, and human trust. The book serves as a complete
package to get acquainted with assurance and risk management from a
software durability perspective. It enhances our understanding of
the concept of durability, its multi-dimensional approach, threats
and their types, risk, mitigation techniques, and suggestive
measures. The book reviews the emerging trends in the software
development process in the context of durability concepts such as
automated code reviews, coding standards, and software durability
standards and their testing, cost management solutions, low-code or
no-code solutions, and durability assurance.
This book presents a comprehensive overview of the nanocrystalline
Al based alloys as prepared using high-energy ball milling (HEBM).
It discusses the influence of HEBM parameters on grain refinement
and examines methods for the consolidation of nanocrystalline Al
powders; further, it reviews the effects of various processing
parameters on the final microstructure and the impact of
microstructure on corrosion and mechanical properties. The book
also provides guidelines for choosing appropriate HEBM parameters
for the production of nanocrystalline Al powders and methods for
consolidating them in net-shaped components. Future challenges and
possible applications of high-energy ball milled Al alloys are also
discussed. The book is intended for researchers and professionals
interested in aluminium alloy development, manufacturing
technologies, light metals and nanocrystalline metallic materials.
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Contemporary Computing - Second International Conference, IC3 2009, Noida, India, August 17-19, 2009. Proceedings (Paperback, 2009 ed.)
Sanjay Ranka, Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sandeep Gupta, …
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R3,080
Discovery Miles 30 800
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Ships in 10 - 15 working days
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Welcome to the Second International Conference on Contemporary
Computing, which was held in Noida (outskirts of New Delhi), India.
Computing is an exciting and evolving area. This conference, which
was jointly organized by the Jaypee Institute of Information
Technology University, Noida, India and the University of Florida,
Gainesville, USA, focused on topics that are of contemporary
interest to computer and computational scientists and engineers.
The conference had an exciting technical program of 61 papers
submitted by - searchers and practitioners from academia, industry
and government to advance the algorithmic, systems, applications,
and educational aspects of contemporary comp- ing. These papers
were selected from 213 submissions (with an overall acceptance rate
of around 29%). The technical program was put together by a
distinguished int- national Program Committee. The Program
Committee was led by the following Track Chairs and Special Session
Chairs: Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sumeet
Dua, Ananth Grama, Sandeep Gupta, Rajeev Kumar and Vir Phoha. I
would like to thank the Program Committee, the Track Chairs and
Special Session Chairs for their tremendous effort. I would like to
thank the General Chairs, Sartaj Sahni and Sanjay Goel for giving
me the opportunity to lead the technical program. Sanjay Ranka
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Distributed Computing - IWDC 2005 - 7th International Workshop, Kharagpur, India, December 27-30, 2005, Proceedings (Paperback, 2005 ed.)
Ajit Pal, Ajay D. Kshemkalyani, Rajeev Kumar, Arobinda Gupta
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R3,056
Discovery Miles 30 560
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Ships in 10 - 15 working days
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We also thank all the members of the Organizing Committee, Arobinda
Gupta, AjitPal, ShamikSural, IndranilSengupta, AbhijitDas,
DipankarSarkar, Jayanta Mukhopadhyay, Pallab Dasgupta, Debasish
Samanta, Soumya Ghosh, Arijit Bishnu, Pabitra Mitra, and Sudeshna
Sarkar, for their e?orts. We are grateful to the Indian Institute
of Technology Kharagpur, and in particular to Prof. S.C. De Sarkar,
Head, School of Information Technology and Deputy - rector,
IITKharagpur, forextendingthelogisticsupporttotheconference.Prof.
DeSarkarisalsoamemberoftheSteeringCommitteeofIWDC.Lastbutnotthe
least, we also thank Prof. Sukumar Ghosh, who is heading the IWDC
Steering Committee, for his guidance and his continuous support and
advice. No academic meeting can achieve its desired end without the
contributions of the authors, reviewers, and the participants. We
extend our heartfelt thanks to all of them for making the event a
success. We sincerely hope that this event will be a valuable
addition to the Distributed Computing research endeavor. December
2005 Anupam Basu Michel Raynal Program Chairs' Message On behalf of
the Program Committee of the 7th International Workshop on
Distributed Computing (IWDC) 2005, it is our great pleasure to
welcome all of you to Kharagpur, India. Our goal has been to put
together a rich technical program, including high-quality technical
papers and state-of-the-art tutorials and invited talks. The
conference received 253 submissions in response to the call for
paper
This book is intended to provide a compilation of the
state-of-the-art numerical methods for nonlinear fluid-structure
interaction using the moving boundary Lagrangian-Eulerian
formulation. Single and two-phase viscous incompressible fluid
flows are considered with the increasing complexity of structures
ranging from rigid-body, linear elastic and nonlinear large
deformation to fully-coupled flexible multibody system. This book
is unique with regard to computational modeling of such complex
fluid-structure interaction problems at high Reynolds numbers,
whereby various coupling techniques are introduced and
systematically discussed. The techniques are demonstrated for
large-scale practical problems in aerospace and marine/offshore
engineering. This book also provides a comprehensive understanding
of underlying unsteady physics and coupled mechanical aspects of
the fluid-structure interaction from a computational point of view.
Using the body-fitted and moving mesh formulations, the physical
insights associated with structure-to-fluid mass ratios (i.e.,
added mass effects), Reynolds number, large structural deformation,
free surface, and other interacting physical fields are covered.
The book includes the basic tools necessary to build the concepts
required for modeling such coupled fluid-structure interaction
problems, thus exposing the reader to advanced topics of
multiphysics and multiscale phenomena.
Emerging Techniques for Treatment of Toxic Metals from Wastewater
explores the different physical and chemical methods that can be
used to remove toxins from wastewater, including adsorption,
solvent extraction, ion exchange, precipitation, filtration and
photocatalytic degradation. Bringing together contributions from
leading experts in the field, the book covers each of the different
techniques in detail, combining emergent research outcomes with
fundamental theoretical concepts to provide a clear appraisal of
the different techniques available, along with their applications.
It is an essential recourse for researchers, industrialists and
students concerned with the remediation of toxic metals from water
and wastewater.
This book is intended to provide a compilation of the
state-of-the-art numerical methods for nonlinear fluid-structure
interaction using the moving boundary Lagrangian-Eulerian
formulation. Single and two-phase viscous incompressible fluid
flows are considered with the increasing complexity of structures
ranging from rigid-body, linear elastic and nonlinear large
deformation to fully-coupled flexible multibody system. This book
is unique with regard to computational modeling of such complex
fluid-structure interaction problems at high Reynolds numbers,
whereby various coupling techniques are introduced and
systematically discussed. The techniques are demonstrated for
large-scale practical problems in aerospace and marine/offshore
engineering. This book also provides a comprehensive understanding
of underlying unsteady physics and coupled mechanical aspects of
the fluid-structure interaction from a computational point of view.
Using the body-fitted and moving mesh formulations, the physical
insights associated with structure-to-fluid mass ratios (i.e.,
added mass effects), Reynolds number, large structural deformation,
free surface, and other interacting physical fields are covered.
The book includes the basic tools necessary to build the concepts
required for modeling such coupled fluid-structure interaction
problems, thus exposing the reader to advanced topics of
multiphysics and multiscale phenomena.
There are various factors that influence the quality and quantity
of agricultural products; among them, weather conditions play the
most significant role in agriculture. More reliable weather
forecasting enables farmers to make important planting and
harvesting decisions that can enhance agricultural yield. Thus,
there is a dire need to combine all available modern technologies
and agricultural science for economic and environmentally
sustainable crop production. In this direction, artificial
intelligence (AI) serves as a budding solution in the domain of
agriculture practices. Artificial Intelligence Tools and
Technologies for Smart Farming and Agriculture Practices discusses
various tools and technologies that can be used in smart farming
and agriculture practice and explores the role of different
emerging technologies like the internet of things, big data,
machine learning, deep learning, and AI from agricultural
prospects. Covering key topics such as farming, pests, soil, and
weeds, this premier reference source is ideal for
environmentalists, farmers, agriculturalists, industry
professionals, researchers, academicians, scholars, practitioners,
instructors, and students.
Image Processing for Automated Diagnosis of Cardiac Diseases
highlights current and emerging technologies for the automated
diagnosis of cardiac diseases. It presents concepts and practical
algorithms, including techniques for the automated diagnosis of
organs in motion using image processing. This book is suitable for
biomedical engineering researchers, engineers and scientists in
research and development, and clinicians who want to learn more
about and develop advanced concepts in image processing to overcome
the challenges of automated diagnosis of heart disease.
Emerging technologies have become both crucibles and showrooms for
the practical application of artificial intelligence, the internet
of things, and cloud computing, and for integrating big data into
everyday life. Is the digital world optimized and sustainable using
intelligence systems, machine learning, and cyber security methods?
This complex concoction of challenges requires new thinking of the
synergistic utilization of intelligence systems, machine learning,
deep learning and blockchain methods, data-driven decision-making
with automation infrastructure, autonomous transportation, and
connected buildings. Effective AI, Blockchain, and E-Governance
Applications for Knowledge Discovery and Management provides a
global perspective on current and future trends concerning the
integration of intelligent systems with cybersecurity applications,
including recent advances and challenges related to the concerns of
security and privacy issues in deep learning with an emphasis on
the current state-of-the-art methods, methodologies and
implementation, attacks, and countermeasures. The book also
discusses the challenges that need to be addressed for implementing
DL-based security mechanisms that should have the capability of
collecting or distributing data across several applications. Topics
covered include skill development and tools for intelligence
systems, deep learning, machine learning, blockchain, IoT, cloud
computing, data ethics, and infrastructure. It is ideal for
independent researchers, research scholars, scientists, libraries,
industry experts, academic students, business associations,
communication and marketing agencies, entrepreneurs, and all
potential audiences with a specific interest in these topics.
Microelectromechanical systems (MEMS) device applications are
common in many areas. Micromirror arrays are used as video
projectors; microsensors find their application for measuring
acceleration, temperature, and pressure; and they can also be used
in the medical field for measuring blood pressure. Microfluidics
have also been widely employed in life sciences applications, such
as drug development and administration, point-of-care devices, and
more. To use these technologies to their fullest extent, further
research is needed. Advances in MEMS and Microfluidic Systems
explores the emerging research and advances in MEMS devices and
microfluidic systems applications. It features in-depth chapters on
microfluidic device design and fabrication as well as on the
aspects of devices/systems, characterization, and comparative
research findings. Covering topics such as biosensors,
lab-on-a-chip, and microfluidic technology, this premier reference
source is an indispensable resource for engineers, health
professionals, students and educators of higher education,
librarians, researchers, and academicians.
Distributed Energy Resources in Microgrids: Integration, Challenges
and Optimization unifies classically unconnected aspects of
microgrids by considering them alongside economic analysis and
stability testing. In addition, the book presents well-founded
mathematical analyses on how to technically and economically
optimize microgrids via distributed energy resource integration.
Researchers and engineers in the power and energy sector will find
this information useful for combined scientific and economical
approaches to microgrid integration. Specific sections cover
microgrid performance, including key technical elements, such as
control design, stability analysis, power quality, reliability and
resiliency in microgrid operation.
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