Browsing by Subject "Machine Learning"
Now showing items 21-40 of 155
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(2017-07-21)Finite difference based reservoir simulation is commonly used to predict well rates in these reservoirs. Such detailed simulation requires an accurate knowledge of reservoir geology. Also, these reservoir simulations may ...
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This research aims to investigate the impact of various Neural Architectures (NAs) on the performance of machine learning models in the context of the deterministic game of Othello, with the goal of providing insights into ...
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(2015-08-05)Mass digitization of historical documents is a challenging problem for optical character recognition (OCR) tools. Issues include noisy backgrounds and faded text due to aging, border/marginal noise, bleed-through, skewing, ...
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(2020-11-17)Automatic Feature Engineering (AFE) aims to extract useful knowledge for interpretable predictions given data for the machine learning tasks of interest. Here, we develop AFE to extract dependency relationships that can ...
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(2022-03-22)Machine Learning (ML) has been rapidly progressing through the years due to its versatility to solve different problems. As a result, many machine learning frameworks have been created that are a collection of different ...
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(2022-12-10)Machine learning has succeeded in real-world applications from image classification, speech recognition, to beating human champion in Go games. To accelerate the development of different ap-plications, automated machine ...
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(2021-03-22)Recommender systems have been existing accompanying by web development, driving personalized experience for billions of users. They play a vital role in the information retrieval process, overcome the information overload ...
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(2018-08-06)It is both exciting and important to look for life beyond our planet. To find signs of life on distant planets, there is a need to search across the vast space that surrounds us and find planets outside our solar system, ...
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(2019-04-24)Brain imaging is an indispensable tool in neuroscience research. In many cases, research in this field involves capturing images of thin slices of animal brains using powerful high-resolution microscopes. The brain consists ...
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(2018-12-10)Bridge inspections are necessary to maintain the safety, health, and welfare of the public. All bridges in the United States are federally mandated to undergo routine evaluations to confirm their structural integrity ...
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(2022-06-21)Recommender systems are highly specialized to handle specific data and tasks. For example, Neural Collaborative Filtering [1] takes the implicit interaction between user and item IDs as the input data for the rating ...
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(2019-06-19)Record linkage which refers to the identification of the same entities across several databases in the absence of an unique identifier is a crucial step for data integration. In this research, we study the effectiveness ...
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Record linkage is used to identify and link the same entity from one or more databases when a unique identifier is absent. As the amount of data increases largely every day, machine learning has become effective in integrating ...
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As machine learning is applied to ever more ambitious tasks, higher performance is required to be able to train and evaluate neural nets in reasonable amounts of time. To this end, many hardware accelerators for machine ...
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(2022-07-19)To meet sales targets with finite resources, business-to-business (B2B) sellers need to prioritize promising sales opportunities from a large pipeline of possibilities. Extant evidence in theory and practice suggests that ...
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(2021-04-16)The objectives of the present study were first, to synthesize the literature pertaining to artificial intelligence (AI) and machine learning (ML) applications in orthodontics, second to evaluate the possibility of predicting ...
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(2023-04-25)Four stochastic inversion and optimization methods (MCMC, SA, PSO, and ACO) are investigated and compared by coupling with a novel mechanistic model for subsurface characterization to jointly estimate the subsurface ...
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(2023-06-07)Mechanical wave transmission through a material interacts with the propagation of mechanical discontinuity in the material. Machine learning can be used to monitor the propagation of embedded discontinuities by analyzing ...
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(2023-06-07)Mechanical wave transmission through a material interacts with the propagation of mechanical discontinuity in the material. Machine learning can be used to monitor the propagation of embedded discontinuities by analyzing ...
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(2020-04-23)The objective of this project is to create a methodology to find communities of similar events based on their context, which is represented by their subevents. The similarity is measured through a new metric we propose, ...