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44 articles for “false positive”
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Research ArticleOpen accessIn the abstractOptimized XGBoost for Ethereum Fraud Detection: A Cost-Sensitive ApproachSupriya P., Rubah Sheriff, Shreya Padaki et al.In today’s technologically advancing world, many fields from finance to healthcare and education are shifting toward a digital and decentralized format. A significant transformation is underway with the currency of the masses. Blockchain-based cryptocurrencies like Bitcoin and Ethereum allow users to generate fungible tokens anonymously through smart contracts. However, these features also facilitate illicit transactions and cybercrimes like fraud, phishing, … …Journal of Computer Science, Vol. 21, Issue 12 · 10 Jan 2026 · 2,770 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 abstractAn Optimized YOLOv11-Based Deep Learning Framework With CNN Feature Enhancement for Tile Crack DetectionVinod Kumar Pal, Pankaj MudholkarThe tile business is a critical part of the national economic development, as it is one of the areas that provides employment, produces goods, and exports them. Regardless of its significance, there are challenges in the industry that are caused by issues with production, which in most cases is caused by low-quality materials used or by mishandling of the products … …Journal of Computer Science, Vol. 22, Issue 8 · 12 Aug 2026 · 979 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
Review ArticleOpen accessIn the abstractA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,397 accessesView PDFCite
Letters to the EditorOpen accessIn the abstractCOVID-19 Masquerading as Chikungunya FeverWaqas Ullah, Andrew Tran, Sohaib Roomi et al.The COVID-19 outbreak is an unprecedented global public health challenge. It has a myriad of clinical presentations including fever, cough, vomiting, and diarrhea. Here, we present a unique case of COVID-19, with an atypical presentation of arthralgias and false-positive results for the chikungunya virus. By highlighting the importance of this rare association, we want physicians to be vigilant in the … …American Journal of Infectious Diseases, Vol. 16, Issue 2 · 14 May 2020 · 7,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccess Control, Fire Prevention and Surveillance Security SystemAkande Saheed, Adeoye Adeyinka O.M., Adeola-Bello ZulikhaThis system is designed to detect intruders, gas leakages as well as to serve as a surveillance system. This work focuses on the development of a reliable access control and fire prevention system synergized with surveillance system. In developing the system, Passive Infrared (PIR) sensors, gas sensor, buzzer, Global System Mobile (GSM) module, Liquid Crystal Display (LCD) and RGB Light … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 1 Oct 2019 · 6,694 accessesView PDFCite
Research ArticleOpen accessIn the abstractOne Real-Time Fluorescent Loop-Mediated Isothermal Amplification Combined with Propidium Monoazide for Detection of Viable Vibrio Parahaemolyticus in SeafoodHuanteng Yu, Jiehong Fang, Biao Ma et al.Vibrio parahaemolyticus is one of the crucial foodborne pathogens in the world. At present, the rapid detection methods for V. parahaemolyticus cannot distinguish between dead and viable cells and false positive results may occur. In this study, one rapid and accurate method that combines Propidium Monoazide (PMA) with real-time fluorescent loop-mediated isothermal ampli?cation (LAMP) using SYTO-16 dye was developed to … …American Journal of Biochemistry and Biotechnology, Vol. 15, Issue 2 · 26 Jun 2019 · 7,589 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,221 accessesView PDFCite