2.035 hasil untuk machine learning
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Soft Computing and Machine Learning in Dam Engineering
“Soft Computing and Machine Learning in Dam Engineering” is a comprehensive, edited Special Issue that explores the latest advances in the application of soft computing and machine learning techniques to dam engineering. This reprint covers a range of topics, including dam design, construction…
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Azure Machine Learning Studio ile Makine Öğrenmesi Uygulamaları
With the increasing data volume today, various methods and techniques are needed to make data-based decisions. Machine learning, which is a subset of artificial intelligence and has been frequently used for this purpose in recent years, has achieved great success in a wide variety of fields…
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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing
This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These…
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Energy Efficiency and Robustness of Advanced Machine Learning Architectures
Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing…
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Chapter Machine Learning-Based Construction Planning and Forecasting Model
Construction planning and scheduling are crucial aspects of project management that require a lot of time and resources to manage effectively. Machine learning and artificial intelligence techniques have shown great potential in improving construction planning and scheduling by providing more…
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Statistical Data Modeling and Machine Learning with Applications II
The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and…
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New Insights in Machine Learning and Deep Neural Networks
In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation…
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Cyclic motion analysis using inertial sensors and machine learning
…cyclic motion using inertial sensors and subsequently analyse them using machine learning techniques. A lack of realistic and annotated data currently limits the development and application of algorithms for inertial sensors under non-laboratory conditions. This is due to the effort required to…
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Artificial Intelligence and Machine Learning Based Methods and Applications
The chapters of this reprint cover a wide range of topics related to the theoretical aspects of artificial intelligence (AI) and machine learning (ML), as well as their practical applications. The theoretical aspects presented in this reprint are related to model compression, interpretable AI…
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Machine Learning Modeling for Spatial-Temporal Prediction of Geohazard
Geohazards, such as landslides, rock avalanches, debris flow, ground fissures, and ground subsidence, pose a significant threat to people’s lives and property. Recently, machine learning (ML) has become the predominant approach in geohazard modeling, offering advantages such as an excellent…
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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial…
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Machine Learning Methods with Noisy, Incomplete or Small Datasets
In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice…
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Document-Image Related Visual Sensors and Machine Learning Techniques
…concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image…
Juga tersedia di: DOAB
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Feature Papers for Land Innovations – Data and Machine Learning
The Special Issue “Feature Papers for Land Innovations—Data and Machine Learning” makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other data related to land. In particular, this…
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Machine Learning and Data Mining Applications in Power Systems
This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient…
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Algorithms and Applications of Machine Learning Techniques for Healthcare
…while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as the capability of a machine to imitate “intelligent” human behavior. This capacity is being widely applied in many areas of our lives such as…
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Machine Learning, IoT and Artificial Intelligence for Sustainable Development
Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves…
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Computer Vision and Machine Learning for Intelligent Sensing Systems
The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational…
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High Accuracy Detection of Mobile Malware Using Machine Learning
…tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art…
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