MobileNetv2 Neural Network Model for Human Recognition and Identification in the Working Area of a Collaborative Robot

D Gurin, V Yevsieiev, S Maksymova… - … Journal of Science and …, 2024 - mjstjournal.com
The article considers the software implementation of the MobileNetV2 neural network model
for human recognition and identification in the working area of a collaborative robot. A …

Effect of Frame Processing Frequency on Object Identification Using MobileNetV2 Neural Network for a Mobile Robot

D Gurin, V Yevsieiev, S Maksymova… - … Journal of Science …, 2024 - mjstjournal.com
This article is devoted to the analysis of the relationship between frame processing
frequency, identification speed, recognition accuracy and system resources. The article …

Active Contours Method Implementation for Objects Selection in the Mobile Robot's Workspace

V Yevsieiev, S Maksymova, N Starodubtsev… - 2024 - openarchive.nure.ua
Анотація This article is a study on the implementation of the active contours method using
mathematical descriptions to identify objects in the work area of a mobile robot. The …

Object Recognition and Tracking Method in the Mobile Robot's Workspace in Real Time

V Yevsieiev, A Abu-Jassar, S Maksymova - 2024 - openarchive.nure.ua
Анотація This article presents an object recognition and tracking method in the mobile
robot's workspace in real time. The main approach is to use a color mask, for which a …

Aquila-particle swarm based cooperative search optimizer with superpixel techniques for epithelial layer segmentation

B Sasmal, A Das, KG Dhal, S Ray - Applied Soft Computing, 2023 - Elsevier
The segmentation of epithelial layers from oral histopathology images plays a crucial role for
early detection of oral cancer disease. As a result, more accurate segmentation of this layer …

A new smoke segmentation method based on improved adaptive density peak clustering

Z Ma, Y Cao, L Song, F Hao, J Zhao - Applied Sciences, 2023 - mdpi.com
Smoke image segmentation plays a vital role in the accuracy of target extraction. In order to
improve the performance of the traditional fire image segmentation algorithm, a new smoke …

Image Processing Techniques as a Tool for the Analysis of Liver Diseases

BS Uchqun o'g'li, V Lyubchenko, V Lyashenko - 2023 - openarchive.nure.ua
Анотація Identification of diseases and their successful treatment is largely determined by
early diagnosis. This allows you to both prevent the development of the disease and get rid …

Contrast as a Method of Image Processing in Increasing Diagnostic Efficiency When Studying Liver Fatty Tissue Levels

A Abu-Jassar, Y Al-Sharo, S Boboyorov… - … on Electrical, Energy …, 2023 - ieeexplore.ieee.org
The paper addresses several challenges associated with analyzing digital medical images,
focusing on identifying and assessing fatty liver tissue levels. The methodology enhances …

Heterogeneous pbest-guided comprehensive learning particle swarm optimization

X Meng, H Li - Applied Soft Computing, 2024 - Elsevier
The balance between exploration and exploitation in the particle swarm optimization (PSO)
algorithm is often discussed but has not been well solved. To further improve the capabilities …

Pre-processing of digital images to improve the efficiency of liver fat analysis

BS Uchqun o'g'li, V Lyubchenko, V Lyashenko - 2023 - openarchive.nure.ua
Анотація Research based on digital image analysis is widely used in medical diagnostics.
This allows you to study the problem in detail and possibly without surgical intervention. We …