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Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,097 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Observational Study on the Prevalence of Sexually Transmitted Infections in Cheonan from 2017 to 2021Sun Jung Lee, Tae Su Jang, Jae Kyung KimAlthough the global incidence of sexually transmitted infections is increasing annually, there are few studies in Cheonan that have analyzed the frequency of infection by individual bacterial species by age since 2017. Therefore, in this observational study, we investigated trends in sexually transmitted infections in Cheonan, South Korea, since 2017. From January 2017 to November 2021, 3,297 specimens were obtained … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 17 Apr 2024 · 6,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenerating IoT Specific Anomaly Datasets Using Cooja Simulator (Contiki-OS) and Performance Evaluation of Deep Learning Model Coupled with Aquila OptimizerVandana Choudhary, Sarvesh Tanwar, Tanupriya ChoudhuryIn recent times, the massive expansion of the Internet of Things (IoT) has transformed various facets of everyday life and industries. The compelling cause behind the widespread adoption of IoT is the increasing availability of affordable, compact, and energy-efficient computing devices. While these devices offer significant benefits, they also raise substantial security and privacy challenges. Consequently, safeguarding IoT networks and … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Various Diagnostic Methods for Trichomonas Vaginalis Infection in Trinidad and TobagoAruna Kumari Divakaruni, Bisram Mahabir, FA Orrett et al.Trichomonas vaginalis infection is a common sexually transmitted infection in the reproductive age group, which may lead to complications. Wet mount examination is the most common test for diagnosis, but it has low sensitivity. Fluorescent antibody staining can be used for diagnosis, but it is expensive and requires special microscopic facility. Culture is considered as the gold standard, but it … …American Journal of Infectious Diseases, Vol. 14, Issue 2 · 6 Oct 2018 · 8,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Segmentation Technique and Stereology to Detect PCO Follicles on USG ImagesUntari Novia Wisesty, Irba Fairuz Thufailah, Ria May Dewi et al.Polycystic Ovary Syndrome is a hormonal health problem in women who are in the reproductive period. One feature of this syndrome is that there are 12 or more follicles in the ovary with a diameter of 2-9 mm. This syndrome can cause menstrual cycles problems and even a problem in conceiving a child. Currently, follicle detection is still done manually … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,990 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of SBP Gene Family and Analysis of Expression Patterns Under Salt Stress in QuinoaWeihai Hou, Jianlin Wang, Zongyu Zhang et al.This study aimed to identify the Squamosa promoter Binding Protein (SBP) transcription factor from the whole genome of quinoa by analyzing its phylogenetic relationship, gene structure, chromosome location, gene replication, upstream cis-regulatory elements, tissue expression, and construction of the SBP protein interaction network, as well as the characteristics of its tissue expression pattern under salt stress. The researchers found that … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 21 Mar 2023 · 5,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferent Arrangement of Dopamine Receptors/NMDA Receptors Heterocomplexes in the Brain Regions of a Healthy Male, Female and Audiogenic Seizure-Prone Male RatsGigi Tevzadze, Elene Zhuravliova, Natia Okriashvili et al.Differences in the composition and subcellular localization of heteroreceptors in the brain can trigger central nervous system diseases, including epilepsy and autism. Protein-protein interactions between Dopamine Receptors (DRs) and GLUN2A and GLUN2B subunits are critical mechanisms that regulate dopamine and glutamate coordinated signals. These interactions may be involved in the pathophysiological predisposition of epilepsy. We hypothesized that the specificity of … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 27 Apr 2022 · 6,104 accessesView PDFCite