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Epigenetics and Reproductive Health, a new volume in the
Translational Epigenetics series, provides a thorough overview and
discussion of epigenetics in reproduction and implications for
reproductive medicine. Twenty international researchers discuss
epigenetic mechanisms operating during the formation of male and
female gametes, fertilization and subsequent embryo and placental
development, particularly in mammals and transgenerational
epigenetic inheritance. This volume also addresses aberrant
epigenetic changes influencing male and female infertility,
pregnancy related disorders, and those potentially linked to
therapeutic manipulations and assisted reproductive technologies.
Emphasis is placed on identifying biomarkers for early detection of
aberrant epigenetic mechanisms. Later chapters examine the
possibility of correcting these epigenetic dysfunctions, as well as
current challenges and next steps in research, enabling new
translational discoveries and efforts towards developing
therapeutics.
This book includes high-quality papers presented at International
Conference on Scientific and Natural Computing (SNC 2021),
organized by Department of Applied Mathematics, Gautam Buddha
University, Greater Noida in collaboration with IIT Roorkee and
Technical University of Ostrava (VSB-TU) and technically sponsored
by Soft Computing Research Society of India, held online during 5 -
6 February 2021. The topics include self-organizing migrating
algorithm, genetic algorithms, swarm intelligence based techniques,
evolutionary computing, fuzzy computing, probabilistic computing,
genetic programming, particle swarm optimization, neuro computing,
hybrid methods, deep learning, including convolutional neural
networks, generative adversarial networks and auto-encoders,
bio-inspired systems, data mining, data visualization, intelligent
agents, engineering design optimization, multi-objective
optimization, fault diagnosis, decision support, robotics, signal
or image processing, system identification and modelling, systems
integration, time series prediction, virtual reality, vision or
pattern recognition, intelligent information retrieval, motion
control and power electronics, Internet of Everything (IoE),
control systems, and supply chain management.
This book includes high-quality papers presented at International
Conference on Scientific and Natural Computing (SNC 2021),
organized by Department of Applied Mathematics, Gautam Buddha
University, Greater Noida in collaboration with IIT Roorkee and
Technical University of Ostrava (VSB-TU) and technically sponsored
by Soft Computing Research Society of India, held online during 5 -
6 February 2021. The topics include self-organizing migrating
algorithm, genetic algorithms, swarm intelligence based techniques,
evolutionary computing, fuzzy computing, probabilistic computing,
genetic programming, particle swarm optimization, neuro computing,
hybrid methods, deep learning, including convolutional neural
networks, generative adversarial networks and auto-encoders,
bio-inspired systems, data mining, data visualization, intelligent
agents, engineering design optimization, multi-objective
optimization, fault diagnosis, decision support, robotics, signal
or image processing, system identification and modelling, systems
integration, time series prediction, virtual reality, vision or
pattern recognition, intelligent information retrieval, motion
control and power electronics, Internet of Everything (IoE),
control systems, and supply chain management.
This book gives a detailed information of various real-life
applications from various fields using nature inspired optimization
techniques. These techniques are proven to be efficient and robust
in many difficult problems in literature. The authors provide
detailed information about real-life problems and how various
nature inspired optimizations are applied to solve these problems.
The authors discuss techniques such as Biogeography Based
Optimization, Glow Swarm Optimization, Elephant herd Optimization
Algorithm, Cuckoo Search Algorithm, Ant Colony Optimization, and
Grey Wolf Optimization etc. These algorithms are applied to a wide
range of problems from the field of engineering, finance, medicinal
etc. As an important part of the Women in Science and Engineering
book series, the work highlights the contribution of women leaders
in nature inspired optimization, inspiring women and men, girls and
boys to enter and apply themselves to the field.
Optimization techniques have developed into a modern-day solution
for real-world problems in various industries. As a way to improve
performance and handle issues of uncertainty, optimization research
becomes a topic of special interest across disciplines. Problem
Solving and Uncertainty Modeling through Optimization and Soft
Computing Applications presents the latest research trends and
developments in the area of applied optimization methodologies and
soft computing techniques for solving complex problems. Taking a
multi-disciplinary approach, this critical publication is an
essential reference source for engineers, managers, researchers,
and post-graduate students.
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