[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 …

Deep dilated CNN based image denoising

R Chaurasiya, D Ganotra - International Journal of Information …, 2023 - Springer
Over the past few years various convolutional neural network (CNN) based approaches
have been applied in image denoising. Acknowledging the size of the receptive field in an …

Contrast enhancement with brightness preservation of low light images using a blending of CLAHE and BPDHE histogram equalization methods

SD Thepade, PM Pardhi - International Journal of Information Technology, 2022 - Springer
Insufficient illumination usually degrades the visual appearance of an image, this, in turn,
results in an unnatural look, washed-out effects, and unwanted artifacts. Image …

Fuzzy inference based decision making model to control the operational parameters of motion estimation algorithms

S Acharjee, S Sinha Chaudhuri - International Journal of Information …, 2023 - Springer
The benchmark algorithms for motion estimation, the most computationally expensive
process in versatile video coding are full search (FS) and test zone search (TZS). FS …

A self-adaptive exhaustive search optimization-based method for restoration of bridge defects images

E Mohammed Abdelkader, M Marzouk… - International Journal of …, 2020 - Springer
Existing bridges are aging and deteriorating. Furthermore, large number of bridges exist in
transportation networks meanwhile maintenance budgets are being squeezed. This state of …

[HTML][HTML] An improved adaptive spatial preprocessing method for remote sensing images

L Zheng, W Xu - Sensors, 2021 - mdpi.com
Since remote sensing images are one of the main sources for people to obtain required
information, the quality of the image becomes particularly important. Nevertheless, noise …

[PDF][PDF] Evaluation of spalling in bridges using machine vision method

EM Abdelkader, O Moselhi, M Marzouk… - ISARC. Proceedings of …, 2020 - researchgate.net
The growing number of bridges and their deteriorated conditions on one hand and the
budget squeeze for their repair and rehabilitation on the other call for automated detection of …

Enhancement Sushisen algorithms in images analysis technologies to increase computerized tomography images

P Senthil, M Suganya, I Baidari, SP Sajjan - International Journal of …, 2022 - Springer
Contrary to one of the major problems in computer tomography image analysis, Image
enhancement can be used to improve the clarity and quality of the picture or to provide …

[PDF][PDF] Enhancing skin cancer detection through an AI-powered framework by integrating African vulture optimization with GAN-based Bi-LSTM architecture

NVR Reddy, AA Deshmukh, VS Rao… - … Journal of Advanced …, 2023 - researchgate.net
One of the more prevalent and severe cancer kinds is thought to be skin cancer. The main
objective is to detect the melanoma in initial stage and save millions of lives. One of the most …

Hybrid Noise Reduction Filter Using the Gaining–Sharing Knowledge-Based Optimization and the Whale Optimization Algorithms

M Nabahat, FM Khiyabani, NJ Navmipour - SN Computer Science, 2024 - Springer
Noise reduction is one of the main challenges for researchers. Classical image de-noising
methods reduce the image noise but sometimes lose image quality and information, such as …