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130 articles for “specificity”
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Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
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 abstractInvestigation of the Contribution of Late Embryogenesis Abundant (LEA) K Peptide in Enhancing the Expression of Lipase from Sphingobacterium sp.: In vitro and in Silico StudiesIbrahim Muhammad et al.Sphingobacterium sp. AB3 lipase is a psychrophilic enzyme with optimal lipolytic activity at pH 7 and 15°C. The cold-adapted properties of the lipase render it suitable for various low-temperature industrial applications such as biodiesel production, detergent formulation, and non-thermal food processing. Recent studies have shown that co-expression of LEA K peptide with AB3 lipase resulted in enhanced protein expression in … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 21 Nov 2024 · 4,569 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