A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

The approach achieves high accuracy in panicle detection and canopy reconstruction, paving the way for more efficient breeding and crop management under diverse environmental conditions. Sorghum ...

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

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...