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

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 ...

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 ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

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

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

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

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

WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...