Results 31 to 40 of about 14,357 (268)
Method of automatic search for the structure and parameters of neural networks for solving information processing problems [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2023 Neural networks are actively used in solving various applied problems of data analysis, processing and generation. When using them, one of the difficult stages is the selection of the structure and parameters of neural networks (the number and types of ...
Obukhov, Artem D.
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CoRR, 2019 Proceedings of the 37th International Conference on Machine ...
Michael Moor +3 more
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UMYU Scientifica JournalAutoencoders have developed into neural search networks in recent years, and the majority of machine learning (ML) methods rely on the input properties to produce high-quality models.
Samuel Michael Ogbe +1 more
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Unsupervised Deep Learning for Structural Health Monitoring
Big Data and Cognitive Computing, 2023 In the last few decades, structural health monitoring has gained relevance in the context of civil engineering, and much effort has been made to automate the process of data acquisition and analysis through the use of data-driven methods.
Roberto Boccagna +4 more
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An Introduction to Autoencoders
CoRR, 2022 In this article, we will look at autoencoders. This article covers the mathematics and the fundamental concepts of autoencoders. We will discuss what they are, what the limitations are, the typical use cases, and we will look at some examples. We will start with a general introduction to autoencoders, and we will discuss the role of the activation ...
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Multiresolution convolutional autoencoders
Journal of Computational Physics, 2023 20 pages, 11 ...
Yuying Liu 0010 +3 more
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Digital Chemical EngineeringAutoencoder-based reduced-order machine learning models have been developed for modeling and predictive control of nonlinear chemical processes with high dimensionality such as discretization of reaction–diffusion processes.
Wallace Gian Yion Tan, Ming Xiao, Zhe Wu
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Feature Extraction from Building Submetering Networks Using Deep Learning
Sensors, 2020 The understanding of the nature and structure of energy use in large buildings is vital for defining novel energy and climate change strategies. The advances on metering technology and low-cost devices make it possible to form a submetering network ...
Antonio Morán +5 more
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SAFEPA: An Expandable Multi-Pose Facial Expressions Pain Assessment Method
Applied Sciences, 2023 Accurately assessing the intensity of pain from facial expressions captured in videos is crucial for effective pain management and critical for a wide range of healthcare applications.
Thoria Alghamdi, Gita Alaghband
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