[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

Comparison of deep-learning-based segmentation models: Using top view person images

I Ahmed, M Ahmad, FA Khan, M Asif - IEEE Access, 2020 - ieeexplore.ieee.org
Image segmentation is considered as a key research topic in the area of computer vision. It
is pivotal in a broad range of real-life applications. Recently, the emergence of deep …

Skin Cancer Image Segmentation Based on Midpoint Analysis Approach

U Saghir, SK Singh, M Hasan - Journal of Imaging Informatics in Medicine, 2024 - Springer
Skin cancer affects people of all ages and is a common disease. The death toll from skin
cancer rises with a late diagnosis. An automated mechanism for early-stage skin cancer …

Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster

C Capitán-Agudo, B Pontes, P Gómez-Gálvez… - Applied Sciences, 2021 - mdpi.com
Analysing biological images coming from the microscope is challenging; not only is it
complex to acquire the images, but also the three-dimensional shapes found on them. Thus …

[引用][C] An automated detection and classification of plant diseases from the leaves using image processing and machine learning techniques: A state-of-the-art review

SK SANJU, DRBL VELAMMAL - Annals of the Romanian Society for Cell Biology, 2021

[DOC][DOC] Smartphone-based shade analysis using hemispherical fisheye imaging for local solar energy potential

J Andersson - 2020 - lup.lub.lu.se
In the emerging trend of smartphone use and a rising demand for solar photovoltaic (PV)
power worldwide, this master thesis project explores the potential to utilize commercially …