Tag: Machine learning

Researchers have developed FedHybrid-ViT, a privacy-preserving framework that fuses convolutional and transformer models within federated learning to detect deepfakes across ...

Researchers at the University of Sydney have combined path signatures from rough path theory with directed graph spectral modeling to ...

Researchers have developed miRDrug, a machine-learning platform that integrates three biological databases to map the shared genes linking microRNAs, drugs ...

Researchers have built an AI framework that forecasts demand for individual live-streaming shopping sessions and uses reinforcement learning to automatically ...

Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...

A new JACC: Advances study shows the Family Heart Foundation's FIND Lp(a) machine learning model identifies cardiovascular disease patients more ...

A five-season study shows that GNSS distance data from ordinary baling machinery can predict how many bales remain in a ...

A benchmarking study in BMC Infectious Diseases shows that data balancing, feature selection, and hyperparameter tuning make machine learning models ...

Researchers have combined deep reinforcement learning with evolutionary computation to create an algorithm that adaptively selects genetic operators and transfers ...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...