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153 results for “Correlation Coefficient”
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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 abstractReclamation of Irrigated Lands and Improvement of the Groundwater Regime Under Vertical Drainage OperationBalzhan Amanbayeva, Raushan Dzhaisambekova, Alexander Basmanov et al.The aim of the study was to identify patterns of seasonal groundwater-level fluctuations and assess the effectiveness of vertical drainage in regulating the reclamation regime of saline lands in Kazakhstan. The methods included monitoring-well observations, calculation of seasonal amplitudes, Student’s t-test, the Mann-Whitney U test, and Pearson correlation analysis. Before the growing season, groundwater occurred at a depth of 1.5-1.7 … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 23 Sep 2026 · 608 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploratory Data Analysis of Applications of Encryption for Netflix by ML ModelsAnanth Maria Pushpa, Subramanian ShanmugamThis study examines the performance of various machine learning algorithms in analyzing Netflix's dataset, with a focus on encryption methods used for data protection. We evaluated several models including Ada BoostM1, IBk, Random Forest, and Decision Stump using multiple performance metrics. This work analysis revealed that the Ada BoostM1 model achieved the highest accuracy at 97.14%, outperforming other algorithms. It … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 1,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation of Some Biochemical Parameters between Serum and Saliva of Patients with Breast CancerOmar Atrooz, Huthaifa TarawnehRegular breast cancer laboratory examination of serum is aburden on patients, therefore understanding salivary test methods' featuresand limits is important for diagnosis. The study aims to evaluate thebiochemical parameters in the serum and saliva of breast cancer and controlindividuals. Furthermore, to investigate the correlation between two biofluidlevels in both groups. This cross-sectional study recruited Jordanian femalesincluding 40 breast cancer patients … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 20 May 2025 · 4,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractCohesion Analysis of Rubber Stand Ages Using Object-Based Image Analysis and Spatial AutocorrelationJiradech Majandang, Suepsai Prasansat, Patiwat Littidej et al.Latex and rubber wood are crucial raw materials used in various industries and play a significant role in the economies of many countries, particularly in tropical regions. Mapping the areas where these materials are planted and classifying the age of rubber stands is important for managing growth assessment, yield assessment, and estimating the number of mature rubber trees that will … …Journal of Computer Science, Vol. 20, Issue 12 · 29 Nov 2024 · 5,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelation of Some Tumor Markers Between Serum and Saliva of Patients with Breast CancerHuthaifa Tarawneh, Omar AtroozBreast cancer, which affects 36% of all female oncological patients, is the most frequent cancer in the world among women. Since routine laboratory evaluation of serum can be stressful for patients, it is critical to comprehend the features and limitations of salivary test methods in order to achieve an accurate diagnosis of breast cancer. The purpose of the study is … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 12 Oct 2024 · 4,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,970 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate Zones and Morphometric Parameters of Apis mellifera carnica BeesZhanar Sheralieva, Ulzhan Nuraliyeva, Talgat Karymsakov et al.The Apis mellifera carnica is the most prevalent bee population distributed in the different climate zones of Kazakhstan. In this study, ten bee colonies of the A.m. carnica breed from six bee farms were selected for research, from six climate zones: Desert, semi-desert, steppe, forest-steppe, foothill, and mountain, and different regions: Southern, northern, eastern, western Kazakhstan. During the period of … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 4 · 12 Oct 2023 · 5,978 accessesView PDFCite
Research ArticleOpen accessIn the abstractTetrastigma hemsleyanum Diels et Gilg Roots from Different Origins: Pharmacognostical Identification, Content Determination of Functional Composition and in vitro Antioxidant ActivityGuang Mei Li, Jian Ge, Yongli Zheng et al.Tetrastigma hemsleyanum Diels et Gilg (T. hemsleyanum) is a unique and rare Chinese medicinal herb mainly distributed in the south of the Yangtze River in China. In the present study, T. hemsleyanum roots from seven different sites in the south of the Yangtze River (Guangxi [Baise, Guilin, and Hechi], Hunan [Fenghuang], and Zhejiang [Hangzhou, Taizhou, and Wenzhou] provinces) were collected, … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 23 Feb 2023 · 5,722 accessesView PDFCite