Results 111 to 120 of about 1,179 (139)

Minimum data requirements and automated preprocessing for reliable EEG biomarkers in Rett syndrome. [PDF]

Front Neurol
Oh Y, Campbell K, Shults J, Saby J, Marsh ED.   +4 more
europepmc   +1 more source

Surrogate modeling based on computational fluid dynamics for predicting the capsizing moment in a coupled shiplift system. [PDF]

PLoS One
Tang T, Yang J, Hu Z, You J, Zhang Y, Shi D.   +5 more
europepmc   +1 more source

Outliers and anomalies in training and testing datasets for AI-powered morphometry-evidence from CT scans of the spleen. [PDF]

Front Artif Intell
Vasilev Y, Pamova A, Bobrovskaya T, Vladzimirskyy A, Omelyanskaya O, Astapenko E, Kruchinkin A, Vladimir N, Arzamasov K.   +8 more
europepmc   +1 more source

EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm. [PDF]

PLoS One
Kumar S, Varshney S, Jain U, Johri P, Almazyad AS, Mohamed AW, Hosseinzadeh M, Shokouhifar M.   +7 more
europepmc   +1 more source

Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability. [PDF]

Front Artif Intell
Jarmakovica A.
europepmc   +1 more source

The Signal in the Extreme: A Systematic Outlier Framework Identifies Discrete Immunometabolic Subtypes in Human and Cellular Models. [PDF]

Med Sci (Basel)
Garcia-Coste JJ, Aguayo-Cerón KA, Espinosa-Raya J, García-Rivero AA, López-Leyva C, Gutiérrez-Rojas RA, Vargas-De-León C, Romero-Nava R.   +7 more
europepmc   +1 more source

DNA methylation biomarkers-based pan-cancer classifier: predictive modeling for cancer classification. [PDF]

Genome Med
Bińkowski J, Wojdacz TK.
europepmc   +1 more source

Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques. [PDF]

Sci Rep
Padma Priya N, Mohanbabu G.
europepmc   +1 more source

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Online process monitoring scheme for fault detection based on Independent Component Analysis (ICA) and Local Outlier Factor (LOF)

The 40th International Conference on Computers & Indutrial Engineering, 2010
Process monitoring in manufacturing field such as chemistry and pharmacy is valuable to reduce the risk of the accidents and to improve the efficiency of the process. Due to the increased size and complicated technology of the modern plants, computer-aided process monitoring has been introduced.
KwangSup Shin, Sukho Kang
exaly   +2 more sources

Improving Detection Efficiency: Optimizing Block Size in the Local Outlier Factor (LOF) Algorithm

Lecture Notes in Computer Science, 2023
Agnieszka Nowak-Brzezińska, Czesław Horyń   +1 more
exaly   +3 more sources