Because fraud cases are rare, this project focuses on imbalanced classification and evaluates models with precision, recall, F1-score, specificity, AUC, and MCC rather than accuracy alone.

About This project aims to identify fraudulent credit card transactions using Machine Learning techniques in Python. Financial fraud costs billions of dollars annually, making real-time detection ...

We build a Gin Config controlled PyTorch pipeline where the training code stays fixed and the experiment variables move into .gin files. We construct a nonlinear spiral binary classification task and ...

Explore the latest news and expert commentary on Application Security, brought to you by the editors of Dark Reading ...

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Vadzo's Falcon-544CRS is a 5MP color USB camera built on the Onsemi AR0544 HyperLux sensor with a 1/4.2" optical format and 1.4 µm BSI pixel pitch, delivering embedded HDR c ...

Researchers have a responsibility to search for consensus on this crucial issue, both for future generations and the future of our planet.

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New York paused new hyperscale data center permits for up to one year while it studies grid, water, ratepayer, and community impacts. If you can only read one tech story a day, this is it. We use ...

Do that influencer's follower counts really exist? The numbers you see on your timeline, like '3.8 million followers' or '42 million monthly reach.' They are proudly displayed in marketing materials, ...