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Research ArticleOpen accessIn the abstractComparative Analysis of the Efficacy of Landslide Susceptibility ModelsJordan Henrique de Souza, Gislaine dos Santos, Gabriela Guimarães Gouvêa de Oliveira et al.This research aims to analyze the efficacy of SHALSTAB, IPT, SAGA, SMORPH and modified SMORPH models in evaluating landslide susceptibility. Statistical analysis concerning both the efficacy of the models in the prediction of landslide risks and the concordance between the models according to landslide occurrence or non-occurrence was performed. For this work, logistic regression, Receiver Operating Characteristic (ROC) curves, Kappa … …American Journal of Environmental Sciences, Vol. 15, Issue 3 · 31 May 2019 · 8,839 accessesView PDFCite
Review ArticleOpen accessIn the abstractVisualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy RatesVasudev Sharma, Raj Kumar Rajasekaran, Shreya BadhrinarayananBreast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages which have reduced mortality. The diagnosis of breast cancer is dependent on a variety of parameters. In this paper, we aim to create the best model … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 8,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Adaptability and Stability of Nellore Sires, based on the Productive Progeny Performance Raised in Brazilian SavannaJúlio César De Souza, Fabio Fábio Rafael Leão Fialho, Carolina Fregonesi De Souza et al.The study investigates the performance and adaptability of Nellore sires across different regions, focusing on weight traits at 205 days (W205) and 550 days (W550). Analysis reveals significant variations in progeny weight means among evaluated sires, highlighting the importance of sire selection for herd improvement. Notably, certain sires consistently exhibit superior weight traits across diverse environmental conditions, indicating their potential … …American Journal of Agricultural and Biological Sciences, Vol. 19, Issue 1 · 2 Jul 2024 · 5,529 accessesView PDFCite
Research ArticleOpen accessIn the abstractRed-Green-Blue Color Analysis Concerning Rice Husk Incorporation in Rice BranIman Hernaman, Urip Rosani, Tidi Dhalika et al.We aimed to determine rice husks incorporated in rice bran by using Red-Green-Blue (RGB) color. Rice bran and rice husk samples were analyzed for crude protein and lignin and mixed at a ratio of 100:0, 90:10, 80:20, 70:30, 60:40 and 50:50. The phloroglucinol-HCl was added to the samples into Petri dishes and photographed with a smartphone to get RGB pixel … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 2 · 30 May 2024 · 5,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Information Reliability and Cloud Computing Efficiency on Website Design and E-Commerce Business in ThailandCharuay Savithi, Arisaphat SuttideeThe security and reliability of cloud computing services continue to be major concerns that hinder their widespread adoption. This study explores how information reliability and cloud computing efficiency influence website design and e-commerce business development decisions on cloud computing. The researchers distributed 379 questionnaires to determine the sample size, resulting in a 46.50% response rate of 46.50% with 186 participants. … …Journal of Computer Science, Vol. 20, Issue 2 · 3 Jan 2024 · 5,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and AutoencoderEunji Lee, Seunghyun Lim, Seojun Lee, Abhijit DebnathMonitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity (EC) and temperature, using monthly data collected in South Korea between 2006 and 2023. Linear regression and the Mann-Kendall test reveal a weak, episodic downward EC trend. Seasonal decomposition indicates annual cyclicality, while residual analysis … …Journal of Computer Science, Vol. 22, Issue 1 · 14 Feb 2026 · 1,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractSubset ARMA Model Identification for Monthly Electricity Consumption DataAmaal El Sayed Abd El Ghany MubarakSubset models can always be highly influential in series analysis, particularly when the data demonstrate a sort of form in periodic behavior with miscellaneous natural period's ranges, specifically; days, weeks, months and years. Subset models can also be effective as they let the number of parameters lower allowing only the really needed ones to be present in the model. Though … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Mar 2019 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Extent of Smartphones Users to Adopt the Use of Cloud StorageKhaled Aldiabat, Ameer Sardar Kwekha Rashid, Hind Talafha, Ahmad KarajehRecently, technology has witnessed a rapid progress and dominates all aspects of life systematically. Smartphones are devices that users can depend on managing and storing data. Moreover, they are used to save, update and secure the private information of users by using Cloud Storage such as iCloud, Dropbox and Google Drive. This study presents and adjusts the Technology Acceptance Model … …Journal of Computer Science, Vol. 14, Issue 12 · 7 Dec 2018 · 8,587 accessesView PDFCite