Devdiscourse

QR codes emerge as unlikely ally in the fight against card fraud

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
EurekAlert!

Multimodal learning-based prediction for nonalcoholic fatty liver disease

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Assembly Mag

Traditional Machine Learning for Practical Machine Vision: It’s Been There All Along

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
Wired

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...
IEEE

Analysis on Skin Disease Segmentation and Classification using Machine Learning and Deep Learning in Dermoscopic Images

Abstract: Skin diseases (SDs), particularly skin cancer, are leading causes of morbidity and mortality worldwide, with early detection being crucial for improving patient outcomes. Dermoscopy, a ...