The Maneuverable Autonomous Drone with Sensing Technologies for Observing Rainfall
and Meteorology (MAD-STORM) is an in-house Internet of Things (IoT)-driven Unmanned …

In this study, the performance of the adaptive optics (AO) system was analyzed through a
numerical computer simulation implemented in MATLAB. Making a phase screen involved …

Deep learning techniques allow us to achieve image segmentation with excellent accuracy
and speed. However, challenges in several image classification areas, including medical …

The objective of this research is to optimize the eleventh iteration of You Only Look Once
(YOLOv11) by developing size-specific modified versions of the architecture. These …

Pedestrian detection is well known as one of the most important applications in computer
vision. However, reliable pedestrian detection is difficult due to a variety of factors, including …

With the growth of open areas comes an ever-increasing risk of fire. However, there is a
problem with the present approaches to fire detection, which rely on smoke sensors for wide …

Adaptive optics revolutionizes telescopic resolution but faces cost, complexity, and
calibration hurdles. Neural network adaptive optics (NNAO) offers promise by using neural …

A geographic information system (GIS) is a very effective management and analysis tool.
Geographic locations rely on data. The use of artificial neural networks (ANNs) for the …

Robot autonomy refers to the ability to carry out objectives by perceiving the environment
and deciding on the actions required without human interruption. Although autonomous …