Anomaly Detection at Scale: Machine Learning Approaches for Enterprise Data Monitoring
In the era of technology advancements, online operations businesses accumulate vast volumes of data. More data than even large teams...
Approaches
Identification of biomarkers associated with M1 macrophages in the ST-segment elevation myocardial infarction through bioinformatics and machine learning approaches
Inhomogeneity of DEGs in STEMI samplesWe confirmed the successful standardization of the GSE59867 dataset using the normalizeBetweenArrays function, as evidenced...
Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China | BMC Pregnancy and Childbirth
Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et...
A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias
Data descriptionThe study utilized GPS data collected between January 1 and January 10, 2024, with a 5-minute sampling interval and...
Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
In intrusion detection, machine learning methods have proven to be rather requisite in the mainstays of all approaches. Some of...
Predicting the time to get back to work using statistical models and machine learning approaches | BMC Medical Research Methodology
ParticipantsThe Inspiring Families programme ( was a partnership between the Department of Work and Pensions and Serco International PLC. It...
