A real-time cnn-based lightweight mobile masked face recognition system
Due to the global spread of the Covid-19 virus and its variants, new needs and problems
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
have emerged during the pandemic that deeply affects our lives. Wearing masks as the most …
Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study
F Al-Areqi, MZ Konyar - Biomedical Signal Processing and Control, 2022 - Elsevier
Rapid diagnosis of the Covid-19 disease is the best way to prevent infection. In this paper, it
is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and …
is proposed to use machine learning methods to aid diagnoses quickly Covid-19 and …
Screening of COVID-19 based on GLCM features from CT images using machine learning classifiers
AB Godbin, SG Jasmine - SN Computer Science, 2022 - Springer
In healthcare, the decision-making process is crucial, including COVID-19 prevention
methods should include fast diagnostic methods. Computed tomography (CT) is used to …
methods should include fast diagnostic methods. Computed tomography (CT) is used to …
Tire defect detection model using machine learning
Visual inspection of defective tires after manufacturing is critical for saving human lives since
defective tires may explode and cause many accidents. Automated tire defect detection is …
defective tires may explode and cause many accidents. Automated tire defect detection is …
Explainable attention-based fused convolutional neural network (XAFCNN) for tire defect detection: an industrial case study
Ensuring tire quality is crucial in the manufacturing industry, particularly for race cars, where
defective tires present a significant safety risk. Visual inspection for defects in tires is crucial; …
defective tires present a significant safety risk. Visual inspection for defects in tires is crucial; …
A novel hybrid approach to masked face recognition using robust PCA and GOA optimizer
ME Taha, T Mostafa, A El-Rahman… - Scientific Journal for …, 2023 - sjdfs.journals.ekb.eg
This paper presents a novel method for recognizing faces with masks. The proposed method
integrates deep learning-based mask detection, landmark and oval face detection, and …
integrates deep learning-based mask detection, landmark and oval face detection, and …
COVID19 yayılımını azaltmak için yüz maskesinin evrişimsel sinir ağı modelleri ile tespiti
A Daşgın - 2023 - acikerisim.aksaray.edu.tr
Son yıllarda hayatımızın gerçeği olan ve tüm dünya için pandemi haline gelen Covid-19'un
gerekli tedbirlere sıkı şekilde uyulmadığı takdirde bulaşma oranı artmakta hatta varyantları …
gerekli tedbirlere sıkı şekilde uyulmadığı takdirde bulaşma oranı artmakta hatta varyantları …
Development of a neural network model for recognizing red palm weevil insects based on image processing
The red palm weevil (RPW) is an invasive pest insect that attacks palm trees and threatens
their existence. Accordingly, RPW causes significant and massive economic losses during …
their existence. Accordingly, RPW causes significant and massive economic losses during …
Detection of air bubbles from tire shearography images
The air bubbles defects in tires are one of the reasons that cause a tire explosion, which may
endanger human life. Currently, the factories depend significantly on experienced operators …
endanger human life. Currently, the factories depend significantly on experienced operators …