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