Results 31 to 40 of about 59,289 (169)
Mathematics, 2021 Music is a type of time-series data. As the size of the data increases, it is a challenge to build robust music genre classification systems from massive amounts of music data.
Lvyang Qiu, Shuyu Li, Yunsick Sung
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Journal of Applied Science and EngineeringBecause the traditional methods are used to analyze human motion behavior, there are large errors and serious over-fitting phenomenon, so a novel tennis motion recognition based on Bayesian optimization and transformer model is proposed in this paper ...
Shaowei Shi, Kun Huang
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Applied Sciences, 2023 Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
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Applied SciencesElectrocardiographic signals (ECG) are ubiquitous, which justifies the research of their optimal storage and transmission. However, proposals for non-uniform signal sampling must take into account the priority of diagnostic data accuracy and record ...
Pratixita Bhattacharjee +1 more
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GIT: A Transformer-Based Deep Learning Model for Geoacoustic Inversion
Journal of Marine Science and Engineering, 2023 Geoacoustic inversion is a challenging task in marine research due to the complex environment and acoustic propagation mechanisms. With the rapid development of deep learning, various designs of neural networks have been proposed to solve this issue with
Sheng Feng +3 more
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Ontology-Based Model Transformation [PDF]
, 2006 Today, model-driven development is getting more sophisticated and is used for modeling enterprises and developing application systems. To develop more and more complex systems efficiently, the trend is to intelligent infrastructure services. Since current interoperability solutions operate essentially at a syntactical level, technologies have to be ...
Bauer, Bernhard (Prof.), Roser, Stephan
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Climatic and seismic data-driven deep learning model for earthquake magnitude prediction
Frontiers in Earth Science, 2023 The effects of global warming are felt not only in the Earth’s climate but also in the geology of the planet. Modest variations in stress and pore-fluid pressure brought on by temperature variations, precipitation, air pressure, and snow coverage are ...
Bikash Sadhukhan +4 more
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Applied SciencesStrain measurements are vital in engineering trials, testing, and scientific research. In the process of signal acquisition, baseline drift has a significant impact on the accuracy and validity of data.
Yusen Wang +4 more
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Pattern-Based Model-to-Model Transformation [PDF]
, 2008 The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-87405-8_29 Proceedings of 4th International Conference, ICGT 2008, Leicester, United Kingdom, September 7-13, 2008 We present a new, high-level approach for the specification of model-to-model transformations based on declarative patterns.
Lara, Juan de, Guerra, Esther
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A cancer diagnosis transformer model based on medical IoT data for clinical measurements in predictive care systems [PDF]
BioImpactsIntroduction: In recent years, advancements in information and communication technology (ICT) and the internet of things (IoT) have revolutionized the healthcare industry, enabling the collection, analysis, and utilization of medical data to improved ...
Panpan Li, Yan Lv, Haiyan Shang
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