Arabic Sign Language Recognition System: Using an Image-Based hand Gesture Detection Method to help Deaf and Dump Children to Engage in Education [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2023 Hand gestures help individuals communicate in daily life. Sign languages, however, employ hand motions extensively. People with hearing impairments use sign language.
Amr Mohmed Soliman +2 more
doaj +1 more source
Automated Pattern Recognition and Defect Inspection System
2009 Fifth International Conference on Image and Graphics, 2009 Packaging appearance is extremely important in cigarette manufacturing. Typically, there are two types of cigarette packaging defects: (1) cigarette laying defects such as incorrect cigarette numbers and irregular layout; (2) tin paper handle defects such as folded paper handles.
Yue Cui 0003 +4 more
openaire +2 more sources
KurdFace Morph Dataset Creation Using OpenCV
Science Journal of University of Zakho, 2022 Automated facial recognition is rapidly being used to reliably identify the identities of individuals for a variety of applications, from automated border control to unlocking mobile phones.
Arezu Rezgar Hussein +1 more
doaj +1 more source
An automated pattern recognition system for classifying indirect immunofluorescence images for HEp-2 cells and specimens [PDF]
, 2016 Immunofluorescence antinuclear antibody tests are important for diagnosis and management of autoimmune conditions; a key step that would benefit from reliable automation is the recognition of subcellular patterns suggestive of different diseases.
Akbar, Shazia +6 more
core +1 more source
Frontiers in Artificial Intelligence, 2022 Food samples are routinely screened for food-contaminating beetles (i.e., pantry beetles) due to their adverse impact on the economy, environment, public health and safety.
Halil Bisgin +12 more
doaj +1 more source
Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens [PDF]
Research Ideas and Outcomes, 2020 Acoustic pattern recognition methods introduce new perspectives for species identification, biodiversity monitoring and data validation in citizen science but are rarely evaluated in real world scenarios. In this case study we analysed the performance of
Marcel Stehle +3 more
doaj +3 more sources
AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), 2023 13 pages, Accepted at The 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023), Melbourne, Australia, May 14th-20th ...
S. M. Hasan Mansur 0001 +3 more
openaire +2 more sources
Automatic Reading of ANCA-Slides: Evaluation of the AKLIDES System
Clinical and Developmental Immunology, 2012 The ANCA consensus prescribes screening by indirect immunofluorescence on neutrophils. We evaluated the first automated ANCA-pattern recognition system. C-ANCA and P-ANCA samples were selected from patients with ANCA-associated vasculitis (AAV).
Jan Damoiseaux +4 more
doaj +1 more source
CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition
IEEE Access, 2019 Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie +3 more
doaj +1 more source
Automated phenotype pattern recognition of zebrafish for high-throughput screening [PDF]
Bioengineered, 2016 Over the last years, the zebrafish (Danio rerio) has become a key model organism in genetic and chemical screenings. A growing number of experiments and an expanding interest in zebrafish research makes it increasingly essential to automatize the distribution of embryos and larvae into standard microtiter plates or other sample holders for screening ...
Schutera, Mark +7 more
openaire +4 more sources