Discovering the building blocks of atomic systems using machine learning: application to grain boundaries
Abstract Machine learning has proven to be a valuable tool to approximate functions in high-
dimensional spaces. Unfortunately, analysis of these models to extract the relevant physics …
dimensional spaces. Unfortunately, analysis of these models to extract the relevant physics …
Exploring the effect of balanced and imbalanced multi-class distribution data and sampling techniques on fruit-tree crop classification using different machine learning …
Y Chabalala, E Adam, KA Ali - Geomatics, 2023 - mdpi.com
Fruit-tree crops generate food and income for local households and contribute to South
Africa's gross domestic product. Timely and accurate phenotyping of fruit-tree crops is …
Africa's gross domestic product. Timely and accurate phenotyping of fruit-tree crops is …
Detection of Credit Card Fraud with Machine Learning Methods and Resampling Techniques
MBS Rahmatullah, ALS Hanani, AM Naim… - … (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
Financial institutions in the form of banks provide facilities in the form of credit cards, but with
the development of technology, fraud on credit card transactions is still common, so a system …
the development of technology, fraud on credit card transactions is still common, so a system …
Machine Learning Powered Serverless Fraud Detection
C Chostak - 2020 - search.proquest.com
There is an increasing concern about fraud in all market sectors. Although there is a great
fuzz about fraud and fraud detection, just a small fraction of it was fully incorporated into real …
fuzz about fraud and fraud detection, just a small fraction of it was fully incorporated into real …