The Indian banks are rapidly integrating machine learning models into Financial Crime Compliance (FCC) operations amid rising ...
Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...
Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.
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It's easy to train your own image classification model with an ESP32, and I did it in five minutes
Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
Pantavanij Co., Ltd., Thailand's leading en d-to-end digital procurement platform provider, has announced a major mission to drive Thai businesses toward sustainable procurement. The company also ...
Abstract: While current unsupervised multiclass anomaly detection methods aim to build unified models for industrial applications, they face a critical dilemma between generalization capability and ...
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