As the NHS grapples with unprecedented demand, workforce pressures and growing elective backlogs, agentic automation is ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Gene expression is the generation of a functional gene product from the information encoded by a gene, through the processes of transcription and translation. Gene products are often proteins, however ...

Gene implication methods (GIMs) are crucial tools for analyzing genome-wide association studies, but are often ambiguous. We present the LocusCompare2 platform to incorporate six popular GIMs and ...

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...