A hybrid framework combining graph diffusion convolution with GraphSAGE improves inductive link prediction across diverse ...

Researchers developed a multi-stream graph convolutional network and dataset to classify 13 martial arts categories on edge ...

Understanding how each individual leaf, stem, and bud grows and changes over time is essential for breeding better crops, but ...

Road networks are often monitored by only a limited number of sensors, leaving many segments unobserved. Researchers from the Technical University of ...

Emotion recognition plays an important role in understanding human cognition and behavior, and has potential applications in brain-computer interfaces and mental health monitoring.

Emotion recognition plays an important role in understanding human cognition and behavior, and has potential applications in brain-computer interfaces ...

Accurate atmospheric temperature and humidity profiles are essential for weather prediction and climate simulation, yet ...

Atmospheric temperature and humidity profiles are key variables linking observations, models, and forecasts. They are used in ...

Pigments in open-air rock art are often in heavily deteriorated superimposition sequences, limiting visualisation using standard photographic approaches. Hyperspectral imaging (HSI) is emerging as a ...

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

In the theoretical study of proton-nucleus collisions, the colliding projectiles can be described as streams of color charges ...