Kategoria BISAC: Computers >> Data Science - Data Analytics

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies.  These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potential polymers and accelerating the design process.  The authors begin with essential...

This book covers topics in 2 parts: 1) Review of FDA Guidance, 2) Novel Designs and Analyses. While covering basic principles of dose finding, this book details advancements made in drug development.

Finding the right dose(s) is one of the most important objectives in new drug development. In Phase I clinical development, one of the objectives is to escalate test doses from low to high. The low doses should be safe, then escalate up to the maximally tolerable dose (MTD). Phase Ⅱ clinical trials then lower test doses to the minimal efficacious dose (MinED). Dose range of a study...

This book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series...

The advent of artificial intelligence (AI) is associated with relevant changes in how we live today. AI has the potential to significantly enhance daily decision-making by providing tailored, data-dependent insights and aiding in intricate analysis. AI-based systems will be around us, helping and advising us in our everyday tasks. However, how well do these systems perform in their quest to "replace" the human brain?

A "meter," a procedure for comparing the outcomes obtained by artificial intelligence systems with those obtained by human systems, is necessary to address this issue....

The evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching...

This open access book examines a rapidly 'datafied' society, reminding us that it is crucial to know what data is about and where it originates. This insight has led to an embryonic stage of new theorizing, empirical research, and the formation of new technologies, standards, practices, and concepts to ensure the availability of adequate 'paradata' – data on the making and processing of data. This edited volume aims to provide a cross-disciplinary overview of perspectives on the concept and phenomenon of paradata and its implications for research and practice.