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.