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Research ArticleOpen accessIn the abstractClassification of Finger Vein Image Using Convolutional Neural NetworkAhmed S. Hameed, Shawkat K. Guirguis, Hend A. ElsayedCurrently available technologies can perform rather well, but their effectiveness is mostly contingent on how well the venous images being analyzed are quality images. Finger vein features have garnered significant attention in the past few years as a potential means of automatic user identification. A significant amount of daily usage goes into the very vital personal identification procedure. The identification … …Journal of Computer Science, Vol. 21, Issue 2 · 6 Jan 2025 · 4,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Fractured Reservoir Characterization by using Geological and Petrophysical LogsZohreh Movahed, Farzaneh AghajariDue to structural complexities in some wells, higher than the expected thickness of the Asmari formation is found. Fracture intensity and deep-rooted fractures broadly increase the risk of unpredictable water production. The well-test analysis is not sufficient in describing fracture properties. Unfortunately, the core condition is poor in the fractured zones and cannot be used to provide reliable information. So, … …Current Research in Geoscience, Vol. 12, Issue 1 · 3 Dec 2022 · 9,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Humic Acid Dosage and Fermentation Time with Bacillus subtilis on Nutrient Content and Quality of Palm Kernel CakeMirnawati, Gita Ciptaan, Yoga Seftiadi, Malik MakmurThis study aims to determine the effects of humic acid dosage and fermentation time with Bacillus subtilis on the nutrient content and quality of Palm Kernel Cake (PKC). A Completely Randomized Design (CRD) with a 3 × 4 factorial pattern and 3 replications was applied. The present experiment considered two major parameters, termed A and B. Factor A represents the … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 1 · 15 Feb 2022 · 6,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Characterization of Small Mammal Communities in Forest-Steppe and Steppe Landscapes of the South of Western and Central SiberiaZarina Mukhtarovna Sergazinova, Alexander Vladimirovich Makarov, Aliya Toleuzhanovna Toleuzhanova et al.This study analyzes the fauna, population, and distribution patterns of small mammals of forest-steppe and steppe landscapes of the south of Western and Central Siberia for the period between 1998 and 2021 on the basis of literature data and authors' own materials. Most of these studies were local in nature, while our work is characterized by a generalizing and comparative … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 4 Dec 2024 · 4,556 accessesView PDFCite
Review ArticleOpen accessIn the abstractSecurity Threats to Databases in E-Commerce Systems: A Systematic Literature ReviewNurayn Mesfer AlqahtaniData is a primary by-product of each business. A typical business organization uses a database system to store and manage data. On the other hand, databases are the primary target of hackers and attackers. The existing literature shows that modern database systems are vulnerable to various data breaches, cyberattacks, or malware attacks. Modern business organizations and e-commerce owners look to … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Dec 2024 · 7,303 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Resource Allocation and Task Scheduling in a Cloud Computing Environment using Swarm IntelligencePanuganti Hanumantha Rao, Rajakumar Subramanian, Geetha SomanThe new age of network-based computing, known as "cloud computing," is characterized by the distribution and sharing of resources over a network. These resources are available to anyone through the Internet on a pay-per-use basis. Any service that anybody uses can generate massive amounts of data. Therefore, in this scenario, there will be a significant cost associated with transferring data … …Journal of Computer Science, Vol. 20, Issue 12 · 7 Nov 2024 · 4,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractFacial Recognition and Discovery Using Convolution Deep Learning Neural NetworkAbdel Karim Mohamed BaarehFacial recognition is a critical and well-established topic that has caught the interest of researchers across various application areas. Face detection and identification are critical components of human detection systems. Researchers in different fields used numerous techniques to recognize human faces in various positions considering several features, many results were also obtained. In this research, we aim to use a … …Journal of Computer Science, Vol. 20, Issue 11 · 22 Oct 2024 · 5,250 accessesView PDFCite
Research ArticleOpen accessIn the abstractAspect Category Detection Using Bi-LSTM-Based Deep Learning for Sentiment Analysis for HindiAshwani Gupta, Utpal SharmaIn the field of sentiment analysis, the notion of aspect category identification lays emphasis on identifying the aspect categories in a specific review phrase. The purpose of this research is to propose a novel approach to the identification of aspect categories in reviews that are published in Hindi. The training and evaluation of a supervised model that is based on … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Sep 2024 · 4,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransverse Bed-Slope, Lateral Bed-Load Rate and Bed-Load Deviation Angle in Meandering Alluvial StreamsYoussef Ismail HafezA novel expression for the deviation angle of the bed-load discharge is developed which allows its distinction with the other deviation angles of the flow velocity and boundary shear stress. A transverse bed-slope equation is developed which compares very well with experimental data and field data at the Fall River and Muddy Creek, USA. Stream-wise computations are successfully performed of … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 9 Sep 2024 · 4,916 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandslide Susceptibility Mapping with GIS in Nagi Dada Area of Panauti Municipality, Kavrepalanchwok District: A Comparison Between AHP and FR MethodArju Bhattarai, HimLal Shrestha, Asim Timalsina et al.Landslide Susceptibility Maps (LSM) are useful for both development planning and disaster management. Currently, LSMs are primarily created using GIS and remote sensing techniques. Landslide susceptibility mapping relies heavily on selecting and weighting causative elements based on their impact on slope instability. GIS is useful for calculating static parameters such as slope and aspect, as well as generating landslide susceptibility … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 4 · 22 Aug 2024 · 7,098 accessesView PDFCite