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Computational Mathematics, Algorithms, and Data Processing

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Introduction to Computational Mathematics

, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book;

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International e-Conference on Computer Science (IeCCS 2005)

and to attract original research papers. This volume in the Lecture Series on Computer and Computational Sciences contains the extended;

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Computational Molecular Biology

Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational;

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Computational Molecular Biology

Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational;

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Algorithms For Image Processing And Computer Vision

processing computational aids. It s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists;

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Introduction To Computational Mathematics

models, to nonlinear curve-fitting and swarm optimization. Especially suitable for undergraduates and graduates in computational mathematics;

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and;

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String Processing and Information Retrieval

selected from 59 submissions. They cover topics such as: data compression; information retrieval; string algorithms; algorithms; computational;

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Computational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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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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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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Advances in Computational Algorithms and Data Analysis

Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data;

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications;

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Algorithms and Discrete Applied Mathematics

geometry; graph theory; combinatorics and algorithms; graph algorithms; and computational complexity.;

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Natural Language Processing and Computational Linguistics

now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational;

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Computational Learning Approaches to Data Analytics in Biomedical Applications

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis;

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Advanced Applications of Computational Mathematics

of computational and applied mathematics. The book includes research methodology, techniques, applications, and algorithms. The book will be very useful to;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Big Data

fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational;

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Proceedings of International Conference on Data Science and Applications

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at;

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Combinatorial Algorithms

of 69 submissions. The papers focus on topics such as Algorithms and Data Structures, Combinatorial Enumeration, Combinatorial Optimization;

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Intelligent Computing Theories and Application

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Intelligent Computing Theories and Application

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Intelligent Computing Methodologies

signal processing and image processing; information security, knowledge discovery, and data mining; systems biology and intelligent computing;

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Algorithms and Discrete Applied Mathematics

, discrete geometry, and computational complexity.;

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