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

The deep learning field has been dominated by “large models” requiring massive computational resources and energy, leading to unsustainable environmental and economic challenges. To address this, ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without ...

(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 ...

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

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