An update scheme of the state probability vector of actions is critical for learning automata
(LA). The most popular is the pursuit scheme that pursues the estimated optimal action and …

A learning automaton (LA) is a powerful tool for reinforcement learning. Its action probability
vector plays two roles: 1) deciding when it converges, ie, total computing budget it has used …

Considering that the classical Hough transform for circle detection has poor real-time
performance because of massive computation and memory consumption caused by …

Abstract RONNA G 4 (RONNA) is a robotic neuronavigation system based on articulated
robotic arms and is intended for minimal invasive stereotactic procedures such as biopsies …

Hough Transform has been widely used for straight line detection in low-definition and still
images, but it suffers from execution time and resource requirements. Field Programmable …

Abstract In Metaheuristic Algorithms (MA), balancing exploration and exploitation is a widely
recognized challenge and an ongoing research issue within the MA community. Apart from …

Learning automata (LA), a powerful tool for reinforcement learning in the field of machine
learning, could explore its optimal state by continuously interacting with an external …

Enhancing the contrast of images, known as ICE, plays a pivotal role in various applications
of image processing and computer vision. Its primary aim is to enhance the visual quality of …

This paper investigates the development of geopolymer foam boards, using perlite wastes
as raw material. This type of lightweight materials combines the geopolymerization …

In this paper, a new automated approach for the extraction of aboveground circular storage
structures from near-nadir very high resolution satellite imagery is proposed. The approach …