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22 results for “Masks”
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Research ArticleOpen accessEvery word in the titleStudy of Surface Morphology and Effectiveness of Common Nasopharyngeal Masks: A Case of Kathmandu, NepalPrasidha Raj Neupane, Iswor Bajracharya, Sunil Babu KhatryFacemasks are widely used worldwide to prevent inhaling airborneparticles and viruses, especially after the outbreak of COVID-19. To assess theeffectiveness of various facemasks against PM10 and PM2.5,experiments with a mannequin head were conducted at 10 and 55 LPM airflowrates. A total of 38 masks, including 26 CMs, 7 SMs, and 5 N95 masks, weretested against PM10 and PM2.5 at 55 … …American Journal of Environmental Sciences, Vol. 19, Issue 3 · 7 Dec 2023 · 5,821 accessesView PDFCite
Review ArticleOpen accessIn the keywordsUnveiling the Investigation and Comfort Research in Various Scenarios of Mask Protection Equipment against Respiratory TransmissionXin ZhangPersonal Protective Equipment (PPE) is essential to protect medical staff (HCW) from highly infectious diseases such as COVID-19 and masks are indeed important functional small effective defensive equipment in safeguarding the public from infection. However, the thermal comfort, fit, and difficulty breathing when wearing a mask can affect its use and improve filtration efficiency. In addition, there is a lack … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 25 Mar 2024 · 4,772 accessesView PDFCite
Review ArticleOpen accessIn the keywordsChallenges in Healthcare Waste Management of the UN 2030 Agenda in the COVID-19 EraGabriella Marfe, Stefania Perna, Arturo HermannToday, the COVID-19 pandemic has caused a remarkable and sudden increase in global demand for Personal Protective Equipment (PPE), such as masks, gloves, gowns. The growing biomedical and municipal streams of potentially infectious waste is a new challenge for every country since an inadequate waste management might have serious public health consequences and significant impact on the environment. In this … …American Journal of Environmental Sciences, Vol. 18, Issue 1 · 7 Mar 2022 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDigital High-Pass Filters with Milder High-Pass Effect on Digital ImagesIssa A. Al-ShakhrahImage filtering consists of modifying the original image by logically "reimaging" it with a mathematical imaging device in which spatial response can be controlled by the user. Image filtering is performed by a mathematical operation called convolution, which is simply the successive replacement of each point in the original image by a new value produced by a weighted combination of … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 11 Jun 2015 · 7,950 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Method for Edge Detection Using 2 Dimensional Gamma DistributionAli El-ZaartProblem statement: Edge detection is an important field in image processing. Edges characterize object boundaries and are therefore useful for segmentation, registration, feature extraction, and identification of objects in a scene. Approach: This study presented a novel method for edge detection using 2D Gamma distribution. Edge detection is traditionally implemented by convolving the image with masks. These masks are constructed … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 372 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified U-Net With VGG11-BN Encoder and Frost Filter Based Pre-Processing for Copy Move Forgery LocalizationAshutosh Pandey, Niranjan Lal, Ashish Kumar ChakravertiCopy-move forgery is a widely used forgery method in digital image forensics, which involves copying and pasting a part of an image into another part of the image to hide or duplicate the visual information. This makes it difficult to detect such manipulations, particularly when the regions are subjected to geometric and photometric transformations. A Frost Filter-Enhanced Encoder-Decoder U-Net is … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 457 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of X-Ray Images Using Convolutional Neural Network and Automatic Hyper-Parameter Selection to Detect Tuberculosis (TB)Biswaranjan Debata, Rojalina Priyadarshini, Sudhir Kumar Mohapatra, Tarikwa Tesfa BedaneTuberculosis (TB) is a major public health issue in India, contributing significantly to the global burden of respiratory diseases. This study introduces a Convolutional Neural Network (CNN)--based model for the early and cost-effective detection of TB using chest X-ray images. The proposed model, featuring 13 layers and automated hyperparameter selection, classifies images as infected or not infected. It is evaluated … …Journal of Computer Science, Vol. 21, Issue 2 · 21 Jan 2025 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Detection of Mask-Wearing Mistakes by Deep LearningChahinez Mérièm BentaouzaThis study focuses on the detection of wearing mask errors after machine learning by a Multi-Layer Perceptron Mixer (MLP Mixer) applied to protect masks from COVID-19. To combat the spread of the COVID-19 pandemic, facemasks have become an essential accessory, so it's necessary to identify individuals who follow this health protection. In this case, the most successful face-detection method Viola-Jones … …Journal of Computer Science, Vol. 20, Issue 7 · 25 Apr 2024 · 5,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Transfer Learning Approach for Student Attendance System During the COVID-19 PandemicSlimane Ennajar, Walid BouarifiMarking students' attendance has been a challenge during the COVID-19 pandemic. It is a time-consuming task due to the abnormally high number of students present during a learning session; many studies have been proposed to improve the system. However, there are still issues with each of these systems; we have employed deep transfer learning techniques using six pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 6,010 accessesView PDFCite