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78 articles for “Sensitivity and Specificity”
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Research ArticleOpen accessIn the abstractA Hybrid Grey Wolf Optimizer and Deep Transfer Learning-Based Intrusion Detection System for IoTKapil Shrivastava, Manish Tiwari, Prasun ChakrabartiThe rapid proliferation of Internet of Things (IoT) devices has driven significant advancements in connectivity and automation, but it has also introduced substantial cybersecurity risks, including intrusions and cyberattacks. To address these challenges, this study proposes a hybrid intrusion detection framework that combines advanced optimization techniques with ensemble deep learning to enhance detection accuracy and computational efficiency. The proposed framework … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,506 accessesView PDFCite
Research ArticleOpen accessIn the abstractHematologic Cancer Cell Detection and Classification Using Optimized VGG-19 with Stratified K-fold Cross-ValidationHema Patel, Himal Shah, Gayatri Patel, Atul PatelThe most prevalent pediatric blood malignancy is acute lymphoblastic leukemia (ALL). ALL is a lethal disease in which patients have a lower survival rate. Its prompt detection and precise categorization are essential for successful treatment. Manual microscopic diagnosis is laborious, prone to mistakes, and heavily reliant on specialized knowledge. With stratified 7-fold cross-validation, which assures an equal ratio of normal … …Journal of Computer Science, Vol. 21, Issue 11 · 24 Dec 2025 · 1,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Diagnostic Tests for Fosfomycin Resistance Detection in Clinically Significant EnterobacteralesSantoshi Maruti Naik, Biranthabail Dhanashree, Himani KotianMultidrug resistance in Enterobacterales has triggered interest in old antibiotics like fosfomycin. Various methods to determine fosfomycin resistance are time-consuming and yield unpredictable results. Hence, the study was undertaken to compare the rapid fosfomycin NP test with the recommended agar dilution test and few other tests. In this cross-sectional, time-bound, prospective study, Enterobacterales (N = 110) were tested for their … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 21 Nov 2025 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Identification of Domestic and Wild Boars Using Cytochrome-b Specific Primers for Halal AuthenticationRifqi, Edi Suryanto, Ari Surya Sukarno et al.The subject of adulterating wild boar and pig meat products with other animal meat is delicate, particularly in the Muslim nation of Indonesia. In recent years, there has been a lot of concern over halal meat products that contain wild boar and pig meat due to Economically Motivated Adulteration (EMA). However, there are limited studies of PCR-DNA-based to discriminate between … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 14 Nov 2025 · 2,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Multiplex PCR Panel on Reducing Broad-Spectrum Antibiotic Use in Ventilator-Associated PneumoniaMaría Inés Staneloni, Emilio F. Huaier Arriazu et al.The extended use of broad-spectrum antimicrobials contribute to the growing threat of antimicrobial resistance. This study evaluated the impact of a multimodal strategy aiming at reducing the duration of broad-spectrum antimicrobial therapy in Ventilator-Associated Pneumonia (VAP). Conducted in a single Intensive Care Unit (ICU), this quasi-experimental, retrospective study compares a pre-intervention period (08/01/2018-07/01/2019) with an intervention period (08/01/2022-07/01/2023). Adult patients … …American Journal of Infectious Diseases, Vol. 21, Issue 1 · 8 Jul 2025 · 6,582 accessesView PDFCite
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 · 5,089 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 · 6,316 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 · 6,850 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 · 5,753 accessesView PDFCite