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crossrefApplied Sciences2025-01-27Cited by 0

Generation of Penetrometric Profile of the Soil Applying Machine Learning to Measure While Drilling Data from Deep Foundation Machinery

Eduardo Martínez García, Marcos García Alberti, Antonio Alfonso Arcos Álvarez

The study performed in this article aimed to reproduce the penetrometric profile of the soil from the perforation parameters of deep foundation and ground improvement. This could allow for more easily interpretable information on the soil strength during execution as well as validate the design hypotheses. To achieve this goal, a series of Machine Learning algorithms have been used and compared with traditionally applied analytical formulas. Dynamic time warping is used to measure the likeness of the results with the expected shape. The results show that the algorithms are capable of better fitting the penetrometric profiles of the soil. Tree ensemble methods stand out with the best results.

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crossrefApplied Sciences2023-09-27Cited by 5

Machine Learning and Deep Learning Based Model for the Detection of Rootkits Using Memory Analysis

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Rootkits are malicious programs designed to conceal their activities on compromised systems, making them challenging to detect using conventional methods. As the threat landscape continually evolves, rootkits pose a serious threat by stealthily concealing malicious activities, ma…

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crossrefApplied Sciences2024-01-15Cited by 9

Fast Rock Detection in Visually Contaminated Mining Environments Using Machine Learning and Deep Learning Techniques

Reinier Rodriguez-Guillen, John Kern, Claudio Urrea

Advances in machine learning algorithms have allowed object detection and classification to become booming areas. The detection of objects, such as rocks, in mining operations is affected by fog, snow, suspended particles, and high lighting. These environmental conditions can sto…

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crossrefApplied Sciences2023-11-29Cited by 3

Prediction of Acceleration Amplification Ratio of Rocking Foundations Using Machine Learning and Deep Learning Models

Sivapalan Gajan

Experimental results reveal that rocking shallow foundations reduce earthquake-induced force and flexural displacement demands transmitted to structures and can be used as an effective geotechnical seismic isolation mechanism. This paper presents data-driven predictive models for…

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crossrefApplied Sciences2024-08-19Cited by 13

Enhancing Agile Story Point Estimation: Integrating Deep Learning, Machine Learning, and Natural Language Processing with SBERT and Gradient Boosted Trees

Burcu Yalçıner, Kıvanç Dinçer, Adil Gürsel Karaçor, Mehmet Önder Efe

Advances in software engineering, particularly in Agile software development (ASD), demand innovative approaches to effort estimation due to the volatility in Agile environments. Recent trends have made the automation of story point (SP) estimation increasingly relevant, with sig…

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crossrefApplied Sciences2023-06-13Cited by 3

Arabic News Classification Based on the Country of Origin Using Machine Learning and Deep Learning Techniques

Nuha Zamzami, Hanen Himdi, Sahar F. Sabbeh

With the rise of Arabic news articles published daily, people are becoming increasingly concerned about following the news from reliable sources, especially regarding events that impact their country. To assess a news article’s significance to the user, it is essential to identif…

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