Analysis of Natural Features
Author:
Publisher:
Published: 1982
Total Pages: 92
ISBN-13:
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Formal Analysis for Natural Language Processing: A Handbook
Author: Zhiwei Feng
Publisher: Springer Nature
Published: 2023-05-09
Total Pages: 802
ISBN-13: 9811651728
DOWNLOAD EBOOKThe field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.
Recent Advances in Natural Products Analysis
Author: Seyed Mohammad Nabavi
Publisher: Elsevier
Published: 2020-03-07
Total Pages: 880
ISBN-13: 0128175192
DOWNLOAD EBOOKRecent Advances in Natural Products Analysis is a thorough guide to the latest analytical methods used for identifying and studying bioactive phytochemicals and other natural products. Chemical compounds, such as flavonoids, alkaloids, carotenoids and saponins are examined, highlighting the many techniques for studying their properties. Each chapter is devoted to a compound category, beginning with the underlying chemical properties of the main components followed by techniques of extraction, purification and fractionation, and then techniques of identification and quantification. Biological activities, possible interactions, levels found in plants, the effects of processing, and current and potential industrial applications are also included. - Focuses on the latest analytical techniques used for studying phytochemical and other biological compounds - Authored and edited by the top worldwide experts in their field - Discusses the current and potential applications and predicts future trends of each compound group
U.S. Health in International Perspective
Author: National Research Council
Publisher: National Academies Press
Published: 2013-04-12
Total Pages: 421
ISBN-13: 0309264146
DOWNLOAD EBOOKThe United States is among the wealthiest nations in the world, but it is far from the healthiest. Although life expectancy and survival rates in the United States have improved dramatically over the past century, Americans live shorter lives and experience more injuries and illnesses than people in other high-income countries. The U.S. health disadvantage cannot be attributed solely to the adverse health status of racial or ethnic minorities or poor people: even highly advantaged Americans are in worse health than their counterparts in other, "peer" countries. In light of the new and growing evidence about the U.S. health disadvantage, the National Institutes of Health asked the National Research Council (NRC) and the Institute of Medicine (IOM) to convene a panel of experts to study the issue. The Panel on Understanding Cross-National Health Differences Among High-Income Countries examined whether the U.S. health disadvantage exists across the life span, considered potential explanations, and assessed the larger implications of the findings. U.S. Health in International Perspective presents detailed evidence on the issue, explores the possible explanations for the shorter and less healthy lives of Americans than those of people in comparable countries, and recommends actions by both government and nongovernment agencies and organizations to address the U.S. health disadvantage.
Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-Based Methods,volume III
Author: Faming Huang
Publisher: Frontiers Media SA
Published: 2024-09-12
Total Pages: 243
ISBN-13: 2832554237
DOWNLOAD EBOOKThis Research Topic is Volume III of a series. The previous volume can be found here: Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods - Volume II and Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods Natural and engineering disasters, which include landslides, rock fall, rainstorm, dam failure, floods, earthquakes, road and building disasters and wildfires, appear as results of the progressive or extreme evolution of climatic, tectonic and geomorphological processes and human engineering activities. It is significant to explore the failure mechanism and carry out spatial modeling of these engineering and natural disasters due to their serious harm to the safety of people's lives and property. The data-based methods, including advanced and successful remote sensing, geographic information systems, machine learning and numerical simulation techniques methods, are promising tools to analyze these complex disasters. Machine Learning models such as neurofuzzy logic, decision tree, artificial neural network, deep learning and evolutionary algorithms are characterized by their abilities to produce knowledge and discover hidden and unknown patterns and trends from large databases, whereas remote sensing and Geographic Information Systems appear as significant technology equipped with tools for data manipulation and advanced mathematical modeling. What is more, the numerical simulation can also be acknowledged as advanced technologies for discovering hidden failure mechanism of disasters. The main objective of this Research Topic is to provide a scientific forum for advancing the successful implementation of Machine Learning (ML) and numerical simulation techniques in operation rules, failure mechanism, spatial and time series prediction, susceptibility mapping, hazard assessment, vulnerability modeling, risk assessment and early warning of complex natural and engineering disasters.
Applications of Computer-aided Text Analysis in Natural Resources
Author: David N. Bengston
Publisher:
Published: 2000
Total Pages: 68
ISBN-13:
DOWNLOAD EBOOKNatural Time Analysis: The New View of Time
Author: Panayiotis Varotsos
Publisher: Springer Science & Business Media
Published: 2011-08-14
Total Pages: 463
ISBN-13: 3642164498
DOWNLOAD EBOOKThis book deals with the theory and the applications of a new time domain, termed natural time domain, that has been forwarded by the authors almost a decade ago (P.A. Varotsos, N.V. Sarlis and E.S. Skordas, Practica of Athens Academy 76, 294-321, 2001; Physical Review E 66, 011902, 2002). In particular, it has been found that novel dynamical features hidden behind time series in complex systems can emerge upon analyzing them in this new time domain, which conforms to the desire to reduce uncertainty and extract signal information as much as possible. The analysis in natural time enables the study of the dynamical evolution of a complex system and identifies when the system enters a critical stage. Hence, natural time plays a key role in predicting impending catastrophic events in general. Relevant examples of data analysis in this new time domain have been published during the last decade in a large variety of fields, e.g., Earth Sciences, Biology and Physics. The book explains in detail a series of such examples including the identification of the sudden cardiac death risk in Cardiology, the recognition of electric signals that precede earthquakes, the determination of the time of an impending major mainshock in Seismology, and the analysis of the avalanches of the penetration of magnetic flux into thin films of type II superconductors in Condensed Matter Physics. In general, this book is concerned with the time-series analysis of signals emitted from complex systems by means of the new time domain and provides advanced students and research workers in diverse fields with a sound grounding in the fundamentals of current research work on detecting (long-range) correlations in complex time series. Furthermore, the modern techniques of Statistical Physics in time series analysis, for example Hurst analysis, the detrended fluctuation analysis, the wavelet transform etc., are presented along with their advantages when natural time domain is employed.
Social and Gender Analysis in Natural Resource Management
Author: Ronnie Vernooy
Publisher: IDRC
Published: 2006
Total Pages: 251
ISBN-13: 155250218X
DOWNLOAD EBOOKDocuments and reflects on the steps that researchers are taking to implement social and gender analysis, including questions of class, caste, and ethnicity, into their everyday work. Combines both learning experiences and scientific results, representing academic and nonacademic sectors, a variety of research organizations, and a number of natural resource management questions, including biodiversity conservation, crop and livestock improvement, and sustainable grassland development. The learning studies, from China, India, Mongolia, Nepal, and Viet Nam, illustrate challenges, opportunities, successes, and disappointments, and highlight the different methods used and adapted in the diverse contexts of South and Southeast Asia. Concludes with a comparative analysis of the learning studies, which highlights common issues and challenges.
Applied Factor Analysis in the Natural Sciences
Author: Richard A. Reyment
Publisher: Cambridge University Press
Published: 1996-09-28
Total Pages: 388
ISBN-13: 9780521575560
DOWNLOAD EBOOKThis graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory.
