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Computational and Machine Learning Tools for Archaeological Site Modeling

. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book;

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Machine Learning and Systems Engineering

, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and;

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Computational Trust Models and Machine Learning

Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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Predictive Modelling for Energy Management and Power Systems Engineering

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large;

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Mathematical Modeling and Computational Tools

This book features original research papers presented at the International Conference on Computational and Applied Mathematics, held at the;

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Machine Learning in Finance

computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for;

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Machine Learning in Finance

computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for;

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Lecture Notes in Computational Intelligence and Decision Making

, machine learning and decision-making. The international scientific conference Intellectual Systems of Decision-Making and Problems;

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Intelligent Computing Theories and Application

Discovery; Applications of Machine Learning Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis; Biomedical Image;

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Computational Sciences and Artificial Intelligence in Industry

from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and;

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Accelerated Path to Cures

, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the;

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Accelerated Path to Cures

, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the;

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Bioinformatics and Biomedical Engineering

behavior monitoring, analysis and understanding; pattern recognition and machine learning in the -omics sciences; and resources for;

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Computational Science - ICCS 2020

Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling;

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Computational Science - ICCS 2020

; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science;

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Computational Science - ICCS 2020

Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling;

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Computational Science - ICCS 2020

Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling;

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Computational Science - ICCS 2020

; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science;

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Water Engineering Modeling and Mathematic Tools

Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about;

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Computational Science ICCS 2021

of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations;

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Immunoinformatics of Cancers

integrated.This book provides readers with practical computational knowledge and techniques, including programming, and machine learning;

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Handbook of Computational Social Science - Vol 1 & Vol 2

important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the;

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Computational Science ICCS 2021

of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations;

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Computational Science - ICCS 2020

; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science;

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Advances in Computational Intelligence

forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface;

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