503 hasil untuk machine learning
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Integrating Data Science and Earth Science
This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in…
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Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
The quality and performance of components is largely determined by the execution of the manufacturing processes involved. The process result depends -- in addition to the initial state of the component and the process -- on the course of the process. In many manufacturing processes, the course of…
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Bridging the Gap Between AI and Reality
…safe autonomous vehicles; statistical model checking; verification and learning for assured autonomy; verification for neuro-symbolic artificial intelligence.
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Future Trends in Education Post COVID-19
…utilization in improving the quality of education, teaching and learning. It discusses the transformation of the curriculum, such as course design and delivery, assessment, and instructional methodologies that focus on employment readiness for the ever-evolving job market. Contributions include a…
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Uses of Artificial Intelligence in STEM Education
In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and…
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Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease
In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that…
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Proceedings of the 7th International Conference on Knowledge Innovation and Invention, Volume 1
…& electronic engineering, automation engineering, big data computation, machine learning, and other engineering related fields. This proceedings volume enables interdisciplinary collaboration of science and engineering technologists in the academic and industrial fields, as well as networking…
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Perceptron
…the Perceptron. The Perceptron was the first widely publicized and used machine learning device and the origin of much contemporary neural network technology. Rosenblatt was a psychologist, a computer engineer, a musician, an amateur astronomer, a sailor, and a poet. The Perceptron was born from an…
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Chapter Multi-Aspectual Knowledge Elicitation for Procurement Optimization in a Warehouse Company
…domain experts. This framework inherently facilitates the development of machine-learning models capable of optimizing business processes, thereby diminishing reliance on experts. The framework's application within a food warehouse company is showcased, specifically targeting the enhancement of the…
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From Raw to Big Data in Endurance Running
Body-worn sensors, so-called wearables, are getting more and more popular in the sports domain. Wearables offer real-time feedback to athletes on technique and performance, while researchers can generate insights into the biomechanics and sports physiology of the athletes in real-world sports…
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Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry
Industry 4.0 has emerged as the perfect scenario for boosting the application of novel artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process…
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From Data to Intelligence
Dieses Buch präsentiert und erläutert die wesentlichen Voraussetzungen für das Verständnis, die Anwendung, die Erforschung und die Weiterentwicklung der Werkzeuge, die derzeit unter den Begriffen Maschinelles Lernen (ML) und Künstliche Intelligenz (KI) diskutiert werden. Es versteht sich als…
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Brain Computations and Connectivity
…and psychiatry, or from the area of computational science including machine learning and artificial intelligence, or from areas such as theoretical physics.
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Artificial Intelligence and Intelligent Matter
…were not (easily) solvable before. Very notable examples are the use of machine learning to obtain energy functionals in density functional theory or the design of novel materials. On the other hand, researchers nowadays try to make the nanosystems themselves intelligent. This idea, sometimes…
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Deep Fusion of Camera and LIDAR
Fusing camera and LIDAR data in autonomous driving poses challenges such as accurate calibration, differing data representations, and extensive training data requirements. This dissertation addresses these by three contributions: a deep neural network for LIDAR-to-camera calibration, two depth…
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Smart Industry - Better Management
The ebook edition of this title is Open Access and freely available to read online. Smart industry requires better management. As industrial and production systems are future-proofed, becoming smart and interconnected through use of new manufacturing and product technologies, work is advancing on…
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Computational Physiology
…(Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8).
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Use of Accessible Information to Improve Industrial Security Testing
Industrial systems face increasing threats, particularly through network-connected Operational Technology (OT) components such as controllers and actuators. These components rely on standard internet protocols, making strong security essential. However, existing blackbox testing tools, crucial for…
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Bildverarbeitung in der Automation
In diesem Open-Access-Tagungsband sind die besten Beiträge des 9. Jahreskolloquiums "Bildverarbeitung in der Automation" (BVAu 2024) enthalten. Das Kolloquium fand am 05. November 2024 auf dem Innovation Campus Lemgo statt. Die vorgestellten neuesten Forschungsergebnisse auf den Gebieten der…
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Advanced Analytics and Artificial Intelligence Applications
…unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think…