2.035 hasil untuk machine learning
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Foundations and Advances of Machine Learning in Official Statistics
This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cross-cutting issues. Machine learning has become an integral part of official statistics over the…
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Applications of Modeling and Machine Learning in Additive Manufacturing
This Special Issue reprint includes thirteen articles on the applications of modeling and machine learning for the novel design of additively manufactured products, additive manufacturing processes, alloy design, tailoring microstructures, customized mechanical and chemical properties, improved…
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Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing
This Special Issue presents recent progress in applying machine learning and deep learning techniques to healthcare data analysis and clinical decision support. Modern healthcare systems generate extensive and diverse data sources, including physiological signals, medical imaging, electronic health…
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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing II
This publication elucidates the application of advanced technologies, including machine learning and deep learning, rooted in artificial intelligence, to the realm of remote sensing. It delineates the methodology employed to address prevailing challenges associated with the processing of images and…
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Advances in Machine Learning and Mathematical Modeling for Optimization Problems
Machine learning and deep learning have made tremendous progress over the last decade and have become the de facto standard across a wide range of image, video, text, and sound processing domains, from object recognition to image generation. Recently, deep learning and deep reinforcement learning…
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Recent Applications of Machine Learning in Natural Language Processing (NLP)
The digital age has seen a significant transformation with the integration of machine learning into natural language processing (NLP). This shift highlights the growing importance of data-driven decisions and human-like interfaces. This Special Issue explores the latest applications of machine…
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Machine-Learning-Assisted Intelligent Processing and Optimization of Complex Systems
This reprint contains 15 articles from the Special Issue of the MDPI journal Processes on "Machine Learning-Assisted Intelligent Processing and Optimization of Complex Systems". These articles focus on the most recent developments in intelligent optimization methods and their applications in…
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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management.
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Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
…disease causes from conventional cohort-common disease causes. Currently, machine learning plays an important role in biological and biomedical research, especially in the analysis of big ‘omics data. However, in contrast to traditional big social data, ‘omics datasets are currently always…
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Machine Learning for Camera-Based Monitoring of Laser Welding Processes
…and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
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Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
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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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for…
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Application of Machine Learning and Optimization Methods in Engineering Mathematics
The articles published in this Special Issue collectively demonstrate the significant impact of mathematical modeling, machine learning, and optimization techniques in solving complex engineering problems. They cover a broad spectrum of applications, from manufacturing process control and electric…
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11: Bias in machine learning as a multi-dimensional problem
Nowadays, when talking about Artificial Intelligence (AI), we mostly refer to methods of Machine Learning (ML). Whereas these technologies have a huge potential, there are also risks and limitations, including the reflection of societal biases. This chapter discusses the term bias from different…
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Chapter Machine learning for sustainable land management: A focus on Italy
Soil salinization poses a multifaceted challenge demanding a comprehensive approach combining environmental science, machine learning, geography, and socio- economic analysis. Our study integrates these disciplines to unravel the complexities of soil salinization and devise effective mitigation…
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Chapter Citizen science and machine learning forecasting Ostreopsis cf ovata blooms
…a citizens’ observatory engaged with public research centres to apply a machine learning approach and develop a predictive modelling tool able to forecast O. ovata blooms. We applied the Quantile Regression Forest to draw up two models named Model4Cities and Citizens’Model. Model4Cities was trained…
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Predicting Inequality of Opportunity and Poverty in India Using Machine Learning
This open-access book combines traditional economic methods with newer machine learning techniques such as regression trees and random forests to analyse data and provide an in-depth analysis of inequality of opportunity and poverty in India. Using data from national surveys and unique sources like…
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Novel Applications of Optical Sensors and Machine Learning in Agricultural Monitoring
…fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This…
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Entropy in Real-World Datasets and Its Impact on Machine Learning
The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel…
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Recent Advances and Applications of Machine Learning in Metal Forming Processes
Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics…
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