Application of Machine Learning for Online Reputation Systems
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-020-1275-7
Abstract: Users on the Internet usually require venues to provide better purchasing recommendations. This can be provided by a reputation system that processes ratings to provide recommendations. The rating aggregation process is a main part of… read more here.
Keywords: reputation; rating aggregation; reputation systems; application machine ... See more keywords
Application of machine learning methods to ambulatory circadian monitoring (ACM) for the discrimination of sleep and circadian disorders
Sign Up to like & getrecommendations! Published in 2017 at "Sleep Medicine"
DOI: 10.1016/j.sleep.2017.11.822
Abstract: Citation: Rodriguez-Morilla B, Estivill E, Estivill-Domènech C, Albares J, Segarra F, Correa A, Campos M, Rol MA and Madrid JA (2019) Application of Machine Learning Methods to Ambulatory Circadian Monitoring (ACM) for Discriminating Sleep and… read more here.
Keywords: machine learning; application machine; ambulatory circadian; learning methods ... See more keywords
Application of Machine Learning in Spatial Proteomics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01161
Abstract: Spatial proteomics is an interdisciplinary field that investigates the localization and dynamics of proteins, and it has gained extensive attention in recent years, especially the subcellular proteomics. Numerous evidence indicate that the subcellular localization of… read more here.
Keywords: spatial proteomics; machine learning; application machine; proteomic data ... See more keywords
The Application of Machine Learning in Doping Detection
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.4c01234
Abstract: Detecting doping agents in sports poses a significant challenge due to the continuous emergence of new prohibited substances and methods. Traditional detection methods primarily rely on targeted analysis, which is often labor-intensive and is susceptible… read more here.
Keywords: detection; learning doping; machine learning; doping detection ... See more keywords
Application of Machine Learning in Hydraulic Fracturing: A Review
Sign Up to like & getrecommendations! Published in 2025 at "ACS Omega"
DOI: 10.1021/acsomega.4c11342
Abstract: Hydraulic fracturing is a widely used technology to increase oil and gas production, and accurate prediction of the postpressure production capacity of hydraulic fracturing is the key to the efficient development of oil and gas… read more here.
Keywords: production; application machine; hydraulic fracturing; machine learning ... See more keywords
Application of Machine Learning to Classification of Volcanic Deformation in Routinely-Generated InSAR data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Geophysical Research"
DOI: 10.1029/2018jb015911
Abstract: Recent improvements in the frequency, type, and availability of satellite images mean it is now feasible to routinely study volcanoes in remote and inaccessible regions, including those with no ground-based monitoring. In particular, Interferometric Synthetic… read more here.
Keywords: volcanic deformation; machine learning; application machine; deformation ... See more keywords
Application of machine learning in the diagnosis of axial spondyloarthritis
Sign Up to like & getrecommendations! Published in 2019 at "Current Opinion in Rheumatology"
DOI: 10.1097/bor.0000000000000612
Abstract: Purpose of review In this review article, we describe the development and application of machine-learning models in the field of rheumatology to improve the detection and diagnosis rates of underdiagnosed rheumatologic conditions, such as ankylosing… read more here.
Keywords: diagnosis; machine; ankylosing spondylitis; rheumatology ... See more keywords
Application of machine learning in higher education to predict students’ performance, learning engagement and self-efficacy: a systematic literature review
Sign Up to like & getrecommendations! Published in 2025 at "Asian Education and Development Studies"
DOI: 10.1108/aeds-08-2024-0166
Abstract: PurposeIn recent years, studies have shown that machine learning significantly improves student performance and retention and reduces the risk of student dropout and withdrawal. However, there is a lack of empirical research reviews focusing on… read more here.
Keywords: education; self efficacy; review; machine learning ... See more keywords
Application of Machine Learning for Radiowave Propagation Modeling Below 6 GHz
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3526329
Abstract: This paper presents the application of supervised learning and use of fully connected neural network (FCNN) for the development of a path specific propagation model for frequencies below 6 GHz. The model has been trained… read more here.
Keywords: propagation; learning radiowave; machine learning; radiowave propagation ... See more keywords
Application of Machine Learning to Evaluate Insulator Surface Erosion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2956300
Abstract: This article proposes a new automated inspection system that can estimate erosion in silicone rubber (SIR) samples using a computer vision-based method. In this work, we used SIR samples that were damaged under laboratory conditions.… read more here.
Keywords: sir samples; learning evaluate; erosion; application machine ... See more keywords
Application of machine-learning methods in forest ecology: recent progress and future challenges
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Reviews"
DOI: 10.1139/er-2018-0034
Abstract: Machine learning, an important branch of artificial intelligence, is increasingly being applied in sciences such as forest ecology. Here, we review and discuss three commonly used methods of machine learning (ML) including decision-tree learning, artificial… read more here.
Keywords: machine learning; application machine; future; forest ecology ... See more keywords