With the rapid development of remote sensing with small, lightweight unmanned aerial
vehicles (UAV), efficient and accurate crop spike counting, and yield estimation methods …

Determining the priority order for grasping stacked fruit clusters such as those of grape and
lychee is a challenging problem in robotic manipulation based on RGB-D images. Grasping …

Background Leishmaniasis is a vector-born neglected parasitic disease belonging to the
genus Leishmania. Out of the 30 Leishmania species, 21 species cause human infection …

This paper presents a deep learning-based approach to traffic sign detection. The proposed
approach utilizes state-of-the-art object detection models, such as SSD and RCNN, to detect …

With the increasing prevalence of surveillance systems, the need for an automated system
that detects the presence of intruders from the surveillance camera and send an alert …

Object detection and recognition are widely employed in a variety of computer vision
applications, and numerous techniques have been suggested in the literature. Object …

Grains are the edibles used at large scales in any country based on geographical location,
the weather of that place, and the availability of the grains. Wheat, Rice, and Maize are few …

Single shot multi-box detector is the quickest approach that employs a single layer of neural
network to recognize items from an image and video. The system employs numerous photos …

In today's world, a commonly used computer technology-object detection focuses on finding
items or examples of a specific class such as humans, vehicles, and animals in digital …

Researchers used visual methods rigorously to improve brain tumor detection in MRI or CT
scans, yet there remains a challenge to improve the detection accuracy. Further, the rise of …