CORTEXA
← Browse
crossrefApplied Sciences2023-12-29Cited by 5

Deep Learning and Machine Learning Applications in Biomedicine

Peiyi Yan, Yaojia Liu, Yuran Jia, Tianyi Zhao

The rise of omics research, spanning genomics, transcriptomics, proteomics, and epigenomics, has revolutionized our understanding of biological systems [...]

View free PDFSource page

Related papers

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…

View free PDFSource page
crossrefApplied Sciences2023-09-27Cited by 5

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

Basirah Noor, Sana Qadir

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…

View free PDFSource page
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…

View free PDFSource page
crossrefApplied Sciences2024-03-29Cited by 18

An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications

Anna Anzalone, Antonio Pagliaro, Antonio Tutone

Cloud cover assessment is crucial for meteorology, Earth observation, and environmental monitoring, providing valuable data for weather forecasting, climate modeling, and remote sensing activities. Depending on the specific purpose, identifying and accounting for pixels affected…

View free PDFSource page
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…

View free PDFSource page
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…

View free PDFSource page