Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

144 results for “Severity”
Set a search alert
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 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 abstractMaternal and Fetal Outcome of COVID Positive Antenatal Women Treated With Tocilizumab in a Tertiary Care Center an Observational Cohort StudyJaimie T Jacob, S Lakshmi Vinodh, Aravind R et al.Tocilizumab, an IL-6 receptor inhibitor, halts the inflammatory stage of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. However, there is little information on Tocilizumab's effects on antenatal women and new born. This study aims to assess the effects of Tocilizumab in treating antenatal women with severe COVID infection. To assess and compare the maternal and fetal outcomes of COVID … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 14 Sep 2026 · 654 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Review ArticleOpen accessIn the abstractImpact of Poxvirus Infection on Crocodile Skin Quality: A Systematic ReviewPretty Rachuene, Khetho Ratshilumela Nemutandani, Joseph Thinawanga Mugwabana, Thobela Louis TyasiCrocodile poxvirus infection causes small superficial lesions covered by dark brownish crusts or scabs. This infection is of importance in crocodile farming due to its potential impact on the tanned hide. The objective of this study was to systematically review literature on the effect of poxvirus infection on crocodile skin quality. The study systematically used four search engines: Google Scholar, … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 2 · 11 Aug 2026 · 1,009 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanism of Mulberry's Effect on Intestinal Flora and MotilityHuizhen Zhao, Shijing Xie, Yuwen Li et al.Studies have indicated that mulberry consumption promotes intestinal motility and alleviates constipation, but the specific mechanism remains unclear. This study adopted a constipation mouse model to empirically analyze the effects of mulberry on intestinal motility, gut microbiota composition, and neurotransmitter levels, aiming to elucidate its mechanism of action. Key findings are as follows: 1) Compared with the model group, the … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 1,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite
Literature ReviewOpen accessIn the abstractPotential Therapies for Mitochondrial Diseases Caused by mtDNA MutationsAnastasia V. Poznyak, Nikolay A. Orekhov, Dmitry Felixovich Beloyartsev et al.Mitochondrial diseases, caused by mutations in mitochondrial DNA (mtDNA), present significant genetic and clinical complexities that challenge accurate diagnosis and treatment. This review examines the critical molecular mechanisms underlying these disorders, particularly the role of heteroplasmy, where mixtures of mutated and normal mtDNA influence disease severity, and the nuclear-mitochondrial DNA interactions that compound diagnostic and therapeutic challenges. The threshold effect, … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 15 Feb 2026 · 1,735 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite