Background and objective Mechanistic-based Model simulations (MM) are an effective
approach commonly employed, for research and learning purposes, to better investigate …

Robotic manipulation of a wire by its ends requires rapid reasoning of its shape in real-time.
A recent development of an analytical model has shown that sensing of the force and torque …

lood disasters pose significant threats to communities around the world. In Malaysia, floods
are recurrent and severe natural disasters due to its geographical location. Focusing on the …

Contemporary neural networks frequently encounter the challenge of catastrophic forgetting,
wherein newly acquired learning can overwrite and erase previously learned information …

Abstract The contemporary Artificial Neural Networks (ANNs) often suffer from catastrophic
forgetting, where learned parameters are overwritten by new tasks. This paper presents a …

This paper presents a deep reinforcement learning model that efficiently learns a sequential
decision-making policy to play tic-tac-toe intelligently directly from a high-dimensional video …

Experiments with rodents in mazes demonstrate that, in addition to visual cues, spatial
localization and olfactory sense play a key role in orientation, foraging and eventually …

Experiments with rodents in mazes demonstrate that, in addition to visual cues, spatial
localization and olfactory sense play a key role in orientation, foraging and eventually …