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provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts;
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Laser spectroscopy is a valuable tool for sensing and chemical analysis. Developments in lasers, detectors and mathematical analytical;
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of nutrients or contaminants is essential to improve agricultural practices. To ensure the quality of stable isotope analysis, appropriate sampling and;
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This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;
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As water quality becomes a leading concern for people and ecosystems worldwide, it must be properly assessed in order to protect water;
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As water quality becomes a leading concern for people and ecosystems worldwide, it must be properly assessed in order to protect water;
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analysis and control.Infrared Spectroscopy for Food Quality Analysis and Control reflects this rapid technology development. The book;
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learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to;
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unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;
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cumulant analysis, Pulsed Interleaved Excitation, and raster image correlation spectroscopy and number and brightness analysis. Continues;
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learning model-predictions applied with open source GIS for the entire Antarctic ocean: a first meta-analysis and synthesis from 53 charismatic;
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engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water;
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Considering the significance of water quality for drinking, irrigation and industry, availability of accurate and sufficient water quality;
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This new manual is an indispensable working lab guide and reference for water/wastewater quality analysis. Based on procedures from;
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recipes for Scala machine learning * Recipes for every stage of the data analysis process, from reading and collecting data to distributed;
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, instrumental analysis, and biochemistry, as well as courses focused solely on spectroscopy. It is also a valuable resource for practitioners working;
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of pharmaceutical manufacturing and drug quality has helped position NIR spectroscopy as an effective tool for pharmaceutical testing. Pharmaceutical and;
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of pharmaceutical manufacturing and drug quality has helped position NIR spectroscopy as an effective tool for pharmaceutical testing. Pharmaceutical and;
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Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights;
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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification;
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Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;
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* Machine learning algorithms for document analysis * Extreme learning machines and their applications * Mathematical foundation for Web text;
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circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;
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circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;
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enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and;
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systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on;
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