[HTML][HTML] A new adaptive synergetic control design for single link robot arm actuated by pneumatic muscles

AJ Humaidi, IK Ibraheem, AT Azar, ME Sadiq - Entropy, 2020 - mdpi.com
This paper suggests a new control design based on the concept of Synergetic Control theory
for controlling a one-link robot arm actuated by Pneumatic artificial muscles (PAMs) in …

Leveraging healthcare system with nature-inspired computing techniques: an overview and future perspective

MF Siddiqui, A Alam, R Kalmatov, A Mouna… - Nature-Inspired …, 2022 - Springer
Nature-inspired computing (NIC) computer optimization algorithms are an emerging
approach that relies on the principles and inspiration of the biological development of nature …

[HTML][HTML] A transfer learning approach on the optimization of edge detectors for medical images using particle swarm optimization

D Dumitru, L Dioșan, A Andreica, Z Bálint - Entropy, 2021 - mdpi.com
Edge detection is a fundamental image analysis task, as it provides insight on the content of
an image. There are weaknesses in some of the edge detectors developed until now, such …

Information entropy augmented high density crowd counting network

Y Hao, L Wang, Y Liu, J Fan - International Journal on Semantic …, 2022 - igi-global.com
The research proposes an innovated structure of the density map-based crowd counting
network augmented by information entropy. The network comprises of a front-end network to …

Nutzung des Gesundheitssystems mit naturinspirierten Computertechniken: Ein Überblick und zukünftige Perspektiven

MF Siddiqui, A Alam, R Kalmatov, A Mouna… - Von der Natur inspirierte …, 2024 - Springer
Naturinspirierte Rechenverfahren (NIC) für computergestützte Optimierungsalgorithmen
sind ein aufkommender Ansatz, der auf den Prinzipien und der Inspiration der biologischen …

Automatic initialization for active contour models based on particle swarm optimization and application to medical images

MU Hassan, N Badshah, S Zahir - J. Math. Comput. Sci., 2020 - scik.org
The active contour models (ACMs) are one of the most widely used techniques in image
segmentation, localization and object tracking. Although there are several existing updated …