Subhashree Sahu Video Full
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Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach
Author: Valentina Emilia Balas
language: en
Publisher: Academic Press
Release Date: 2019-09-24
Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches, create efficiencies and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Pharmaceutical manufacturing companies are no exception to this, as IoT has the potential to revolutionize aspects of the pharmaceutical manufacturing process, from drug discovery to manufacturing. Using clear, concise language and real world case studies, this book discusses systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety of topics presented offers readers multiple perspectives on a how to integrate the Internet of Things into pharmaceutical manufacturing. - Covers efficiency improvements of pharmaceutical manufacturing through IoT/Big Data approaches - Explores cutting-edge technologies through sensor enabled environment in the pharmaceutical industry - Discusses the systems level from both a human-factors point-of-view and the perspective of networking, databases, privacy and anti-spoofing
Wayward Son
THE HOTLY ANTICIPATED SEQUEL TO THE NO. 1 BESTSELLER CARRY ON Simon Snow is back and he's coming to America! The story is supposed to be over. Simon Snow did everything he was supposed to do. He beat the villain. He won the war. He even fell in love. Now comes the good part, right? Now comes the happily ever after... So why can’t Simon Snow get off the couch? What he needs, according to his best friend, is a change of scenery. He just needs to see himself in a new light. That’s how Simon and Penny and Baz end up in a vintage convertible, tearing across the American West. They find trouble, of course. (Dragons, vampires, skunk-headed things with shotguns.) And they get lost. They get so lost, they start to wonder whether they ever knew where they were headed in the first place. With Wayward Son, Rainbow Rowell has written a book for everyone who ever wondered what happened to the Chosen One after he saved the day. And a book for everyone who was ever more curious about the second kiss than the first. It’s another helping of sour cherry scones with an absolutely decadent amount of butter. Come on, Simon Snow. Your hero’s journey might be over – but your life has just begun.
Applied Intelligent Decision Making in Machine Learning
The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects. To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.