Agriculture is a vital sector in develo** nations such as India, and the use of autonomous
vehicles and Internet of Things (IoT) technology has the potential to revolutionize farming …

Numerous accidents and fatalities occur every year across the world as a result of the
reckless driving of drivers and the ever-increasing number of vehicles on the road. Due to …

This study suggests a convolutional neural network (CNN) and histogram oriented gradients
(HOG)-based automatic detection and classification system for mango disease. Early …

Fast and accurate obstacle avoidance is crucial to drone safety. Yet existing on-board
sensor modules such as frame cameras and radars are ill-suited for doing so due to their …

Global road traffic injuries represent a significant safety challenge, with the highest fatality
rates worldwide stemming from a combination of drivers' reckless behavior and the ever …

Path planning of a mobile robot is a budding field of research and a significant problem to
solve in robot navigation. It is widely used for examination, mainly involving static and …

Conventional mobile robots employ LIDAR for indoor global positioning and navigation, thus
having strict requirements for the ground environment. Under the complicated ground …

Autonomous vehicles rely on object detection for safety, and various algorithms have been
developed to improve speed and precision. This paper ranks 44 object detection algorithms …

Advanced driving assistance systems include some features such as changing lanes,
avoiding obstacles and moving in cruise mode. Creating the perception of the environment …

Nowadays, the applications of robotic process automation (RPA) seem to be a feasible
solution for augmenting the efficiency of banking firms. To get away from the traditional …