Learning Methods – alle Bücher und LPs, Seite 7 online kaufen

Cem Ünsalan, Eren Atmaca, Berkan Höke
Embedded Machine Learning with Microcontrollers

This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods imp…

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Cem Ünsalan, Eren Atmaca, Berkan Höke
Embedded Machine Learning with Microcontrollers

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning metho…

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Julia Hartung
Machine Learning for Camera-Based Monitoring of Laser Welding Processes

The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, an…

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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Dong-Seong Kim, Hoa Tran-Dang
Cooperative and Distributed Intelligent Computation in Fog Computing

This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed comput…

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Matthias Schonlau
Applied Statistical Learning

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical lea…

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Nada R. Sanders, R. Dan Reid
Operations Management

Operations Management: An Integrated Approach, 8th edition, provides a solid foundation of the subject with clear, guided instructions and a balance between quantitative and qualitative concepts, thus pro…

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Giorgos Tsironis
Artificial Intelligence and Complex Dynamical Systems

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods. Artificial intelligence (AI) has affected the foundations of scientific d…

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Automation 2024: Advances in Automation, Robotics and Measurement Techniques

This book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal…

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Cyber-Physical Systems Engineering and Control

This book is devoted to the study of engineering and control technologies for the cyber-physical systems development. This book defines the approaches in the engineering leverage the exploitation of artif…

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Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Bla¿ ¿Krlj
From Unimodal to Multimodal Machine Learning

With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made signif…

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Big Data Analytics and Knowledge Discovery

Lecture Notes in Computer Science - Band 14912

This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024. The 16 f…

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Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinform…

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Modeling and Optimization of Signals Using Machine Learning Techniques

Explore the power of machine learning to revolutionize signal processing and optimization with cutting-edge techniques and practical insights in this outstanding new volume from Scrivener Publishing. Mode…

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AI for Brain Lesion Detection and Trauma Video Action Recognition

Lecture Notes in Computer Science - Band 14567

This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during …

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Frank C. Park, Kyu Min Park
Collision Detection for Robot Manipulators: Methods and Algorithms

This book provides a concise survey and description of recent collision detection methods for robot manipulators. Beginning with a review of robot kinodynamic models and preliminaries on basic statistical…

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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Emerging Challenges in Intelligent Management Information Systems

This book contains the second volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial In…

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