[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 …

[HTML][HTML] Applications of machine vision in pharmaceutical technology: A review

DL Galata, LA Meszaros, N Kallai-Szabo… - European Journal of …, 2021 - Elsevier
The goal of this paper is to give an introduction to analysis of images acquired by a digital
camera with visible illumination and to review its applications as a Process Analytical …

[HTML][HTML] Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh

MMH Seyam, MR Haque, MM Rahman - Case Studies in Chemical and …, 2023 - Elsevier
LULC is vital to investigate land use patterns and helping forecast future sustainable land
management. The study area is a freshly emerging and quickly industrialized area in …

An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image

SA Suha, MN Islam - Scientific Reports, 2022 - nature.com
Polycystic ovary syndrome (PCOS) is the most prevalent endocrinological abnormality and
one of the primary causes of anovulatory infertility in women globally. The detection of …

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation

A Lou, S Guan, M Loew - Medical Imaging 2021: Image …, 2021 - spiedigitallibrary.org
Recently, deep learning has become much more popular in computer vision applications.
The Convolutional Neural Network (CNN) has brought a breakthrough in image …

Deep machine learning for oral cancer: from precise diagnosis to precision medicine

RO Alabi, A Almangush, M Elmusrati… - Frontiers in Oral …, 2022 - frontiersin.org
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …

Text extraction using OCR: a systematic review

R Mittal, A Garg - 2020 second international conference on …, 2020 - ieeexplore.ieee.org
In the digital era, almost everything is automated, and information is stored and
communicated in digital forms. However, there are several situations where the data is not …

Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match

S Das, T Mahmud, D Islam, M Begum… - Computational …, 2023 - Wiley Online Library
Automation in every part of life has become a frequent situation because of the rapid
advancement of technology, mostly driven by AI technology, and has helped facilitate …

[PDF][PDF] Implementation of RGB and grayscale images in plant leaves disease detection–comparative study

K Padmavathi, K Thangadurai - Indian Journal of Science and …, 2016 - academia.edu
Abstract Background/Objectives: Digital image processing is used various fields for
analyzing different applications such as medical sciences, biological sciences. Various …

Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives

X Liu, M Pedersen, R Wang - Digital Signal Processing, 2022 - Elsevier
Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …