An empirical study on anomaly detection using density-based and representative-based clustering algorithms
GS Fuhnwi, JO Agbaje, K Oshinubi… - Journal of the Nigerian …, 2023 - journal.nsps.org.ng
In data mining, and statistics, anomaly detection is the process of finding data patterns
(outcomes, values, or observations) that deviate from the rest of the other observations or …
(outcomes, values, or observations) that deviate from the rest of the other observations or …
A Deep Learning Approach to Predict Chronological Age
H Lahza, AA Alsheikhy, Y Said, T Shawly - Healthcare, 2023 - mdpi.com
Recently, researchers have turned their focus to predicting the age of people since
numerous applications depend on facial recognition approaches. In the medical field …
numerous applications depend on facial recognition approaches. In the medical field …
[PDF][PDF] Age Prediction from Facial Images Using Deep Learning Architecture
Predicting age and gender through images is a common computer vision problem with many
practical applications. However, this problem faces many difficulties because a person's age …
practical applications. However, this problem faces many difficulties because a person's age …