Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

This module supports different input data types and it uses the coerceToUint8Array utility function from @alessiofrittoli/crypto-buffer to convert it to a Uint8Array ...

Kajson is a powerful drop-in replacement for Python's standard json module that automatically handles complex object serialization, including Pydantic v2 models, datetime objects, and custom types.

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Abstract: Effective disaster management and response require accurate and timely mapping of floodwater extent. Optical images facilitate easier flood identification, but their limitation with cloud ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Attention-based decoder models were used to generate libraries of novel inhibitors for ...