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Spectroscopy and Machine Learning for Water Quality Analysis

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Advances in Machine Learning Applications in Software Engineering

provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts;

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Laser Spectroscopy for Sensing

Laser spectroscopy is a valuable tool for sensing and chemical analysis. Developments in lasers, detectors and mathematical analytical;

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Sampling and Isotope Analysis of Agricultural Pollutants in Water

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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Recent Developments in Machine Learning and Data Analytics

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;

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Water Quality Concepts, Sampling, and Analyses

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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Water Quality Concepts, Sampling, and Analyses

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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Infrared Spectroscopy for Food Quality Analysis and Control

analysis and control.Infrared Spectroscopy for Food Quality Analysis and Control reflects this rapid technology development. The book;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to;

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Applied Machine Learning for Smart Data Analysis

unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;

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Fluorescence Fluctuation Spectroscopy (FFS), Part A

cumulant analysis, Pulsed Interleaved Excitation, and raster image correlation spectroscopy and number and brightness analysis. Continues;

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Horizons in Earth Science Research. Volume 11

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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A Primer on Machine Learning Applications in Civil Engineering

engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water;

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Water Quality Management

Considering the significance of water quality for drinking, irrigation and industry, availability of accurate and sufficient water quality;

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Water and Wastewater Examination Manual

This new manual is an indispensable working lab guide and reference for water/wastewater quality analysis. Based on procedures from;

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Scala Data Analysis Cookbook

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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Spectroscopy

, 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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Pharmaceutical and Medical Applications of Near-Infrared Spectroscopy

of pharmaceutical manufacturing and drug quality has helped position NIR spectroscopy as an effective tool for pharmaceutical testing. Pharmaceutical and;

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Pharmaceutical and Medical Applications of Near-Infrared Spectroscopy

of pharmaceutical manufacturing and drug quality has helped position NIR spectroscopy as an effective tool for pharmaceutical testing. Pharmaceutical and;

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Machine Learning with the Elastic Stack

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

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification;

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Python Machine Learning

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning;

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Document Processing Using Machine Learning

* Machine learning algorithms for document analysis * Extreme learning machines and their applications * Mathematical foundation for Web text;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Machine Learning Methods in the Environmental Sciences

circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and;

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Machine Learning for Planetary Science

enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and;

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Environmental Remote Sensing and Systems Analysis

systematic coverage of water quality monitoring, air quality monitoring, and monitoring of land use patterns and degradation. Chapters elaborate on;

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