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  • Introducción al Machine Learning con MATLAB

    El Machine Learning representa una herramienta importante para la exploración y la extracción de conocimiento. Su principal objetivo es construir modelos que permitan describir posibles patrones estructurales en la información a partir de los datos, con el objetivo de tomar decisiones o hacer predicciones. En la última década, el número de usuarios de Machine Learning ha crecido de forma ... En savoir plus

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  • Is This The Front?

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    "Is This the Front?" from "The Last Rus' Princess" series is a captivating tale of love, survival, and hope set in war-torn Ukraine, masterfully blending historical events with vivid characters to deliver an emotionally resonant and unforgettable reading experience.The historical novel is set amidst the turmoil of World War II and Nazi German-occupied Ukraine. The story follows Maria, a former ... En savoir plus

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  • Image Processing with Python

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    Collections series Engineering (R0)
    This book provides a comprehensive material tailored for students and professionals studying image processing. Designed to support both theoretical learning and practical implementation, the book covers a broad spectrum of essential topics in the field. These include foundational concepts such as pixel-level operations and geometric transformations, as well as advanced techniques like spatial ... En savoir plus

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  • Agent-Based Models with MATLAB

    Agent-Based Models with MATLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MATLAB software code as a means of inspiring readers to apply agent-based models to solve a diverse range of problems. It comes with a large amount of software code that accompanies the main text ... En savoir plus

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  • Optimization in Industrial Engineering

    From Classical Methods to Modern Metaheuristics with MATLAB Applications

    Collections series Synthesis Collection of Technology (R0)
    This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a unique balance by thoroughly discussing the underlying concepts and theories, equipping the reader with the knowledge needed to develop their own programs for solving complex optimization problems in ... En savoir plus

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  • Machine Learning and Metaheuristic Computation

    Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approachesFew areas of technology have greater potential to revolutionize the globe than artificial intelligence. Two key areas of artificial intelligence, machine learning and metaheuristic computation, have an enormous range of individual and combined applications in computer science and ... En savoir plus

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  • DC Motors

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    This textbook provides readers with the knowledge and practical skills necessary to understand, design, and construct their own functional DC motors using 3D printing technology. The authors provide a clear and accessible introduction to the fundamental concepts of DC motors, explaining how they work, their different types, and their applications in a way that is easy for readers with limited ... En savoir plus

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  • Image Processing and Machine Learning, Volume 1

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    Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and ... En savoir plus

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  • Image Processing and Machine Learning, Volume 2

    Advanced Topics in Image Analysis and Machine Learning

    Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and ... En savoir plus

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  • Computational Methods with MATLAB®

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    This textbook provides readers a comprehensive introduction to numerical methods, using MATLAB®. The authors discuss the theory and application of the most often used numerical methods, using MATLAB as a computational tool. The book is designed to be accessible to readers of varying backgrounds, so the presentation focuses more on the description, implementation, and application of the methods and ... En savoir plus

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  • Metaheuristic Computation with MATLAB®

    Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies.Book Features:Provides a unified view of the most popular metaheuristic methods currently in useIncludes the necessary concepts ... En savoir plus

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  • Optimization Strategies: A Decade of Metaheuristic Algorithm Development

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    This book is to explore the development of metaheuristic algorithms over the past decade, focusing on key advancements in their components and structural features, which have driven progress in search techniques. This analysis aims to provide readers with a thorough understanding of the fundamental aspects of these methods, which are essential for their practical application. To offer a broad ... En savoir plus

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