Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
MoSPI's new GDP series will adopt double deflation and include updated data sources for enhanced economic analysis.
Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Stanford Medicine researchers published a report on a new model, dubbed SleepFM, that tackles the links between sleep patterns and overall health.
Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.
Caldwell police call license plate readers "another tool" as they expand surveillance, but residents raise privacy and ...
Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results