2,035 results for machine learning
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
…have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine…
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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a…
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Hybrid Data Processing by Combining Machine Learning, Expert, Safety and Security
The goal of this Special Issue is to promote hybrid data processing by combining machine learning with experts’ input, data safety, and security. AI technology and machine learning technology are developing rapidly. Data contain important information that can advance human knowledge and enhance AI…
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Health and Public Health Applications for Decision Support Using Machine Learning
"Health and Public Health Applications for Decision Support Using Machine Learning" is a reprint that explores the intersection of machine learning and health sciences. It presents a collection of research and innovations showcasing how data-driven algorithms can transform patient care, disease…
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Development of a modular Knowledge-Discovery Framework based on Machine Learning
In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of…
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR
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Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of…
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Mathematical Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications
…to represent all the variables that characterize the process. Conversely, Machine Learning methods require a large amount of data to find solutions, remaining detached from the problem that generated them and trying to infer the behavior of the object, material or process to be examined from…
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Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for…
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Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
…been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application…
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Book Chapter
Chapter 5: Using machine learning and deep learning for traffic congestion prediction: a review
…congestion forecasting. This chapter reviews the latest developments in machine learning and deep learning methodologies for traffic congestion prediction in a systematic way, covering literature over the last decade. The main findings are structured based on different AI methodologies, datasets…
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Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
This Special Issue is a book composed by collecting documents published through peer review on the research of various advanced technologies related to applications and theories of signal processing for multimedia systems using ML or advanced methods. Multimedia signals include image, video, audio…
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Application of Big Data Mining, Machine Learning and Artificial Intelligence in Ore Deposits
With the advent of the era of big data AI, scientific research has moved into its fourth research paradigm: data-intensive science. Big data and machine learning have brought the study of ore deposits onto the artificial intelligence research stage. Big data mining, machine learning, and artificial…
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Chapter AI and Machine Learning to extend Meteo-Marine Station Observations into the Future
…and decision-making processes. This study explores the application of Machine Learning (ML) techniques to predict hourly values of air temperature, wind speed, atmospheric pressure, and humidity for the next 24 hours. We evaluate three ML models: Long Short-Term Memory Network (LSTM), Random Forest…
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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from…
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Machine Learning im Logistikmanagement – Entwicklung eines Gestaltungsansatzes zum Einsatz von ML-Anwendungen in logistischen Entscheidungsprozessen
As a subfield of artificial intelligence, machine learning (ML) represents a key technology of the 21st century. Using the mathematical-statistical methods, technical systems can be developed that independently discover empirical patterns on the basis of data and thus adapt their behavior to solve…
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Artificial Intelligence (AI) and Machine Learning (ML) in Medical Imaging Informatics towards Diagnostic Decision Making
In recent years, AI/ML tools have become more prevalent in the fields of medical imaging and imaging informatics, where systems are already outperforming physicians in a range of domains, such as in the classification of retinal fundus images in ophthalmology, chest X-rays in radiology, and skin…
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Chapter Il machine learning in ambito medico sanitario: il riconoscimento delle immagini e degli spazi
The here collected contributions relating to the 46th International Conference of the Representation Disciplines Teachers, organized jointly by Sapienza University of Rome, Roma Tre University, and San Raffaele Roma University, aim to offer the scientific community a reflection on the theoretical…
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Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
…assessment for preprocessing, feature extraction, and drift corrections. Machine learning is employed to devise robust prediction strategies for hardness. Its implementation in an industry pilot demonstrates the economic benefits of the framework.
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Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems
…between the optical carrier and the transmitted radio frequency signal. Machine learning algorithms have become a powerful tool to perform monitoring and to identify and mitigate distortions introduced in both the electrical and optical domains. Clustering-based demodulation assisted with Voronoi…
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