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272 results for “Co-Occurrence”
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Research ArticleOpen accessIn the keywordsEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Review ArticleOpen accessIn the keywordsRainwater Harvesting and Treatment Systems in South America: A Bibliometric Analysis (2000-2021)Eli Morales Rojas, Manuel E. Reátegui-Inga, Reiner Reátegui Inga et al.The objective of this study was to review the main rainwater harvesting and treatment systems through a bibliometric analysis from 2000-2021. A bibliometric analysis was used in the R program and VOS viewer, the query involved titles, abstracts, and keywords during the last 20 years (2000-2021). The results indicate that from 2013 onwards, interest in this topic increased. 13% of … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 13 Sep 2022 · 7,193 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPalmprint Recognition using Feature Level FusionR. Gayathri, P. RamamoorthyProblem statement: Palmprint based biometric method has gained high impact over the other biometric methods due to its ease of acquisition, reliability and high client acceptance. Multiple feature extraction from image gives higher accuracy of the authentication system. Approach: This study presents the palmprint based identification methodology which uses the Gabor wavelet entropy to extract multiple features existing on the … …Journal of Computer Science, Vol. 8, Issue 7 · 19 May 2012 · 6,982 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHow does a Culture of Learning Impact on Student Behaviour?Fransa WeeksProblem statement: Despite the need for a culture of learning in South African schools, research reveal that it is not generally encountered. Research also indicates the manifestation of student behavior problems constraining effective learning. Approach: This research study was directed at determining if a link existed between behavior problems and a lack of a culture of learning. The research approach … …Journal of Social Sciences, Vol. 8, Issue 3 · 30 Mar 2012 · 8,464 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptic Neuropathy: Characteristic Pathology for Identifying Drugs with Potential to Cause Mitochondrial ToxicityConnor Dyer, Katlyn Droke, Ugne Zekonyte, Mariana RoscaDeleterious effects on mitochondria are known to be frequently caused by prescription drugs, however, there is no standard and specific testing by pharmaceutical companies on these effects on mitochondria during drug development. The objective of this study is to determine if cases of optic neuropathy are related to drug-induced mitochondrial toxicity in a way that could be used to predict … …American Journal of Pharmacology and Toxicology, Vol. 18, Issue 1 · 19 Jan 2024 · 8,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrequencies of the C1236T, G2677T/A, and C3435T Polymorphisms of the MDR1 Gene and their Haplotypes in UzbekistanS. B. Nurmatova, A. A. Abdurakhimov, O. S. Charishnikova et al.P-glycoprotein (P-gp) is encoded by the MDR1 gene and is involved in the pharmacokinetics of drugs. The best-known MDR1 gene polymorphisms are 1236C>T, 3435C>T, and 2677G>T/A, which are associated with protein folding, changes in mRNA levels, and drug pharmacokinetics. The aim of this study was to identify the frequency of distribution of functional polymorphisms C1236T, C3435T, G2677T/A of the MDR1 … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 5 Dec 2022 · 5,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Performance of Supervised Learning Algorithms for Flood Prediction in Kemaman, TerengganuNur Najihah Shaaban, Norlida Hassan, Aida Mustapha, Salama A. MostafaFlood is one of the most destructive phenomena all over the world. Because the flooding uncertainties and the urgency to prepare for disaster management, three specific technique approaches are compared in this study to predict the flood occurrence based on historical rainfall data. The study involved the rainfall data in Kemaman, Terengganu between 2017 and 2018 extracted from the official … …Journal of Computer Science, Vol. 17, Issue 5 · 7 May 2021 · 6,887 accessesView PDFCite