Introduction With increasing use of robotic surgical adjuncts, artificial intelligence and
augmented reality in neurosurgery, the automated analysis of digital images and videos …

Object detection models have been experiencing significant improvements over the years
due to advancements in deep learning techniques, increased availability of large-scale …

In recent years, optical camera communication (OCC) has garnered attention as a research
focus. OCC uses optical light to transmit data by scattering the light in various directions …

Object detection in remotely sensed satellite pictures is fundamental in many fields such as
biophysical, and environmental monitoring. While deep learning algorithms are constantly …

Artificial intelligence has experienced significant growth in recent decades. As a result,
several architectures have been developed for object detection, classification, and …

In the environment of smart examination rooms, it is important to quickly and accurately
detect abnormal behavior (human standing) for the construction of a smart campus. Based …

This paper presents current methods used for orchard yield estimation, and a new method
for adapting these methods regarding orchard yield estimation for kiwifruit. We discuss …

The paper presents a novel framework for automatic classification and detection of
waterborne vessels, tailored explicitly to integrate with low-cost, low-power off-the-shelf …

Weed infestation presents a formidable obstacle to cotton farming, resulting in diminished
yields and escalated operational expenditures. Recent advancements in Deep Learning …

As face recognition technology continues to play a pivotal role in various domains, selecting
an optimal software solution becomes imperative. This paper thoroughly analyzes face …