Timely and reliable mapping of individual date palm trees is essential for their monitoring,
health and risk assessment, pest control, and sustainable management of the date palm …

Abstract Autonomous Vehicles (CAVs) are currently seen as a viable alternative to
traditional vehicles. However, CAVs will face serious cyber threats because many …

Disease diagnosis using the medical image is a very technical and tedious process. Small
abnormalities in multiple medical images could be noticed by medical specialists but deep …

Real-time human pose estimation (HPE) using convolutional neural networks (CNN) is
critical for enabling machines to better understand human beings based on images and …

Traffic sign recognition is a crucial method by which autonomous driving systems acquire
road information, and is predominantly based on deep neural networks (DNNs). However …

Foundation models play an increasingly pivotal role in the field of deep neural networks.
Given that deep neural networks are widely used in real-world systems and are generally …

Conveyor belt misalignment is an operational and maintenance issue for many belt
conveyor systems and can result in significant downtime and equipment failure. This article …

Communication is often necessary for robot teams to collaborate and complete a
decentralized task. Multi-agent reinforcement learning (MARL) systems allow agents to learn …

One of the main problems faced by visually impaired individuals is the inability or difficulty to
identify objects. A visually impaired person usually wears glasses that help to enlarge or …

Object detectors have established their dominance in several safety-critical systems.
Meanwhile, there are an increasing number of research proving they are prone to carefully …