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The book titled "Applications of Computational Intelligence
Techniques in Communications" is a one-stop platform for the
researchers, academicians, and people from industry to get a
thorough understanding of the latest research in the field of
communication engineering. Over the past decade, a manyfold
increase in the use of computational intelligence techniques has
been identified for obtaining the most optimal and timely solution
to a problem. The various aspects covering the significant
contribution of numerous computational intelligence techniques have
been discussed in detail in this book. Today’s era of machine
learning and Internet of Things (IoT) is demanding as high as
possible data rate which has resulted into tremendous increased
speed of communication. To match-up the pace, the computational
intelligence is posing to be the most efficient and favourite tool.
The book aims to cover the current technological advancements in
the field of communication engineering and give a detailed prospect
of computational intelligence to its readers. This book will be a
great support to the people working in the field of IoT, machine
learning, healthcare, optimization, filter design, 5G and beyond,
signal processing etc. The chapters included here will expose its
audience to various newly introduced and advanced computational
intelligence techniques applicable in communication domain. The
readers will be exposed multiple interdisciplinary areas of
research in communication and will get the motivation to work in
collaboration with other professionals from both the academia and
industry.
A study was conducted to test the hypothesis that synchronizing the
follicular wave emergence by hormonal and non hormonal methods and
delaying the exposure of follicles to LH would increase the
ovulation rate and embryo recovery in Bos indicus cattle. A total
of 94.83% cows responded to superovulation treatment without any
significant difference between groups. Compact morula comprised the
highest number (63.22 - 79.41%) in all the treatment groups.
Overall data revealed that 25.45%, 40.00% & 34.54% of cows
flushed were poor, average and good embryo donors respectively. As
the CL number increased, the mean number of total ova/embryos
increased progressively and significantly within the groups
consequent to increase in ovulation number from 2-10 and >10
respectively. The number of calving had no significant (P>0.05)
effect on superovulatory responses. Pregnancy rate with transfer of
fresh embryos (52.94%) was significantly influenced by transfer
site and transfer quality. The ovulation rate and embryo recovery
were negatively correlated to concentrations of P4 on day 0 but
positively correlated to concentrations of P4 on day 3 and day 7/8.
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