This report presents an overview of how machine learning is rapidly advancing clinical
translational imaging in ways that will aid in the early detection, prediction, and treatment of …

The exponential growth in data generated by satellites, radars, sensors, and analysis and
reanalysis from model outputs for the hydrological domain requires efficient real-time data …

The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses
to enable new insights into the workings of the brain. Reconstructing and analyzing the …

We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a
non-invasive neuromodulation technique for treating various brain disorders and mental …

This paper presents a processed phytoplankton dataset from Lake Zerendi and other
Kokshetau Upland lakes, Kazakhstan. The study aimed to develop an automated method for …

NEANIAS is a research and innovation action project funded by the European Union under
the Horizon 2020 program. The project addresses the challenge of prototy** novel …

Reinforcement Learning (RL) is crucial in decision optimization, but its inherent complexity
often presents challenges in interpretation and communication. Building upon AutoDOViz …

A rare and valuable Palaeolithic wooden point, presumably belonging to a hunting weapon,
was found in the Ljubljanica River in Slovenia in 2008. In order to prevent complete decay …

Recent advances in time series research have created a significant demand for better time
series visualization techniques, especially for large-scale datasets that contain millions of …

Except for critical basic implementations seen in historical records, the abundance of similar
frameworks, platforms, and apps available may be deceptive. Striking a balance between …