A new classifier called CABLE-kNN caches local neighborhood evidence during training and neutralizes class priors, beating ordinary kNN on imbalanced binary datasets while accelerating prediction by ...
Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice ...
Python-powered cell analysis for highly multiplexed imaging data in QuPath. Warning: This is a continuation of my work integrating other people's software into Qupath, like with Caleb's CytoMap and ...
Machine learning is a subset of artificial intelligence that gives systems the ability to learn and optimize processes without having to be consistently programmed ...
FastAPI provides a quick way to build a backend service with Python. With a few decorators, you can turn your Python function into an API application. It is widely used by many companies including ...
Abstract: In this work designs and implements an intelligent AI-powered plant disease detection and classification system through Convolutional Neural Network. This study builds on a key limitation in ...
Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...
Explore NVIDIA's free AI courses available in 2025, all completable in under eight hours. Learn to build RAG Agents for large language models, enhancing productivity through informed user interactions ...
This study aimed to construct a machine learning model using clinical variables and ultrasound radiomics features for the prediction of the benign or malignant nature of pancreatic tumors. 242 ...
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