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Research ArticleOpen accessIn the abstractPrognosis of Dementia Using Early Fusion Approach with Digital Clock Drawing and Trail-Making TestsShridevi Karande, Vrushali KulkarniDementia poses a substantial global public health challenge. Emerging evidence suggests that COVID-19's neurological impact may aggravate dementia incidences. Timely recognition and management can significantly decelerate dementia progression and enhance affected individuals' quality of life. In the realm of cognitive assessment, the Clock Drawing Test (CDT) and Trail-Making Test (TMT) stand as prominent tools. Existing research predominantly focuses on the … …Journal of Computer Science, Vol. 20, Issue 8 · 10 Jun 2024 · 4,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Antimicrobial Stewardship Program During COVID-19 Era: Cost Effectiveness and Mortality RatesSafaa Alkhiami, Anass Qasem, Hussein Mohamed Hussein, Ali AbdallaThe growing spread of antimicrobial resistance is a major problem on a global level that has provoked several health and government organizations to call for action to counteract the problem. The frequent misuse of antibiotics is prevalent within hospital settings, especially during the COVID-19 era. The introduction of antibiotic stewardship initiatives has demonstrated the capability to decrease both unwarranted antibiotic … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 30 Jan 2024 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Algorithm for Earthquake Prediction Using Machine Learning MethodsNada Badr Jarah, Abbas Hanon Hassin Alasadi, Kadhim Mahdi HashimSeismic tremors are among the foremost perilous normal fiascos individuals confront due to their event without earlier caution and their effect on their lives and properties. In expansion, to consider future disaster prevention measures for major earthquakes, it is necessary to predict earthquakes using Neural Networks (NN). A machine learning technique has developed a technology to predict earthquakes from ground … …Journal of Computer Science, Vol. 20, Issue 2 · 23 Dec 2023 · 7,079 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Relationship Between Rupee-Dollar Exchange Rate and Major Economic IndicatorsAbhinandan Kulal, Deepak Kallige Vishwanath, Sanath Kumar KanthilaIt is very likely that dollar to rupee exchange rate has an influence on the major economic indicators of India like the GDP of India, the NIFTY 50 index, gold prices in India, import prices in India, and crude oil prices in India. The quarterly time series data of the seven variables have been used. The time considered for the … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 17 Aug 2023 · 6,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification and Pathogenicity of the Soybean Root Rot Pathogen in Arid ConditionsNurlan Kuldybayev, Yerlan Dutbayev, Olga Konstantinova et al.Soy is an important oilseed crop in Kazakhstan. However, its yield is significantly reduced due to an increase in the development of fungal diseases with soil infection. This study aims to identify the root rot pathogen in soybean varieties in Western Kazakhstan and assess its pathogenicity. Samples of soybean roots to determine the root rot pathogen were selected at the … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 14 Apr 2023 · 5,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Non-Intrusive Experiment to Examine the Visual Attention Data on Exposure to a Brand Using Eye TrackingSurya Bahadur Thapa, Prasun Gahlot, Komal Suryavanshi et al.The objective of this study is to understand the influence of articulation on sports sponsorship posters of a sporting event. An eye tracking experiment was conducted to examine the visual attention data on exposure to the sponsor’s brand while viewing an advertisement poster. The respondents were asked to fill out a questionnaire based on what they could recall while viewing … …Journal of Computer Science, Vol. 19, Issue 3 · 28 Feb 2023 · 5,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractBond Strength of Bioactive vs. Conventional Resin Composites on Dentin Cleaned with Ozonated Water: An In Vitro StudyFernanda Rafaela Ribeiro, Anna Caroliny Detogni, Julio Katuhide Ueda et al.This study aimed to compare the micro tensile bond strength (μTBS) of bioactive and conventional resin composite to human dentin after the use of ozonated water (AO) as a cavity cleaning solution. A total of 32healthy human third molars were randomly assigned to four groups (n = 8)based on the type of composite and dentin cleaning. The first group received … …Current Research in Dentistry, Vol. 16, Issue 1 · 9 Jun 2025 · 6,312 accessesView PDFCite