Welcome to our book review site www.go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Machine Learning and Data Mining Approaches to Climate Science
This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.
Advanced Intelligent Computing in Bioinformatics
This two-volume set LNBI 14881-14882 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 6-volume set LNAI 14875-14880 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.
EEG Signal Processing and Feature Extraction
This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.
Artificial Intelligence for Smart Health: Learning, Simulation, and Optimization
With rapid developments in medical sensing and imaging, we now live in an era of data explosion in which large amounts of data are readily available and accessible in the clinical environment. The fast-growing biomedical and healthcare data provide unprecedented opportunities for data-driven scientific knowledge discovery and clinical decision support. However, it is widely acknowledged that biomedical and healthcare data contain high dimensions, large volumes, missing values, imbalanced classes, heterogeneous sources, multi-modalities, and measurement noises. These inherent features pose significant barriers to the translation of data into meaningful clinical actions. Thus, there arises an ...
Methodological and Analytic Frontiers in Lexical Research
The study of how words are represented and processed in the mind has served as a meeting ground for research in psychology, linguistics, and neuroscience. Right now, this domain of study is in the midst of astonishing developments. At the core of these developments are the methodological and analytic advancements that have enabled researchers to address new phenomena and to ask new questions. These new methodologies have also raised fundamental questions concerning the nature of words in the mind, the nature of language processing, and the ways in which data can be understood. This book provides a timely resource written by international leaders in methodological innovation. It offers fundam...
Advances in Nonlinear Geosciences
Advances in Nonlinear Geosciences is a set of contributions from the participants of “30 Years of Nonlinear Dynamics” held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new insights on fractals, multifractals and stochasticity, climate dynamics, extreme events, complexity, and causality, among other topics.
Python Recipes for Earth Sciences
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub.
Observing Writing
Observing writing: Insights from Keystroke Logging and Handwriting is a timely volume appearing twelve years after the Studies in Writing volume Computer Keystroke Logging and Writing (Sullivan & Lindgren, 2006). The 2006 volume provided the reader with a fundamental account of keystroke logging, a methodology in which a piece of software records every keystroke, cursor and mouse movement a writer undertakes during a writing session. This new volume highlights current theoretical and applied research questions in keystroke logging and handwriting research that observes writing. In this volume, contributors from a range of disciplines, including linguistics, psychology, neuroscience, modern languages, and education, present their research that considers the cognitive and socio-cultural complexities of writing texts in academic and professional settings.
Social Pluralism and Lithic Economy at Cerro Baúl, Peru
Excavations at the site of Cerro Baúl near Moquegua, Peru have shown that this community was predominantly Wari, but in the later Middle Horizon Epoch B the occupation included a significant contingent of Tumilaca residents. This study examines over 1,979 flaked lithic artefacts from contexts that represent both Wari and Tumilaca residents. The data reveal that economic differentiation was an important factor that determined material use, and economic differentiation also strongly characterized social interaction. Differences in local and exotic material use reflect participation in socially organized procurement networks of varying scale, and economic and mechanical considerations figured strongly in implement usage. Furthermore, the membership of economic social groups crosscut ethnic boundaries. These interpretations contribute to our understanding of the socio-economic dynamics between cultural groups and support the hypothesis that class-organized inter-ethnic interaction was a probable development of the dynamic contact between the Wari and Tiwanaku expansive states during the Middle Horizon.
