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311 articles for “detection limit”
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Obstacle Detection for Automobiles using IoT
Abstract: In today’s world most of the time we encounter the road accidents and these are rapidly increasing day by day. The major cause is the carelessness of the people, especially those people, who do not follow the traffic rules. The metropolitan cities where there is huge population and people having more automobiles. we need to understand how precious our life is and for that we need more advancement in our …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 3, 2021 · pp. 15–20 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Practice of Breast Self-Examination among Female Health Care Professionals in Maichew Town Health Facilities, Tigray, Ethiopia: Institution Based Cross-Sectional Study
Abstract: Breast cancer is among the major life-threatening public health concerns and its incidence is increasing worldwide. Breast self-exam (BSE) is commendation for all women starting in their 20s to know how their breasts normally look and feel like and to notice any changes occur. They should be told about its benefits and limitations too. It is an important procedure in the early detection of breast cancer. It is estimated that …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 1, 2016 · pp. 30–37 Read article
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Assessment of Suitability of Inland Wetland Fishes in Gujarat, India, for Human Consumption: A Focus on Organochlorine Pesticides
Abstract: The work described in this study evaluated the organochlorine pesticide (OCP) residues in the inland wetland fishes of Gujarat, India, and their suitability for human consumption. Among the various OCPs analyzed, isomers of hexachlorocyclohexane (HCH), γ-HCH and β-HCH were detected in 70%–80% of samples. The p,p’-DDE, metabolites of DDT were detected in higher load. Of the nine species of fishes tested, the maximum load of ∑HCH and ∑DDT was recorded …
Published in Research and Reviews: A Journal of Toxicology · Vol. 2, Issue 3, 2012 · pp. 7–14 Read article
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Emerging Paradigms: Leveraging Artificial Intelligence and Machine Learning for Enhanced Wireless Network Security
Abstract: Wireless networks have now become an indispensable component of our contemporary communication infrastructure, offering both connectivity and convenience. Nonetheless, the increasing complexity and constantly evolving nature of wireless networks present substantial security challenges. This work investigates the utilization of artificial intelligence (AI) and machine learning (ML) techniques to tackle these security issues in wireless networks. We delve into the principles and practices of applying AI and ML algorithms to enhance …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 18–25 Read article
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Colorimetric Redox Indicator assay for rapid detection of multidrug-resistant Mycobacterium tuberculosis in South Gujarat region
Abstract: Tuberculosis (TB) has affected humans since antiquity. The burden of TB particularly with multi-drug-resistance (MDR) is increasing worldwide and has become a major public health concern. This study aims to perform Colorimetric Redox Indicator (CRI) assay for rapid detection of multidrug-resistant Mycobacterium tuberculosis in South Gujarat region. Total 234 samples were collected from South Gujarat region and were subjected for microscopy examination, culturing on Lowenstein-Jensen (LJ) medium and drug susceptibility …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 3, 2018 · pp. 65–70 Read article
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Nt-Probnp and Nitrogen Species Measurement As Useful Biomarkers for Detection of Asymptomatic Heart Failure in Patients with Type 2 Diabetes
Abstract: Insidious heart failure is associated or complicated hypertension, coronary artery disease, diabetes, chronic lung disease, atrial fibrillation, renal failure, depression, and anemia. High plasma NT-proBNP level found to be a predictive value in detecting latent left ventricular diastolic dysfunction. The aim of the study is to detect asymptomatic heart failure in outpatient type 2 diabetic patients using plasma NT-proBNP as a diagnostic biomarker of heart failure and nitrogen species as …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 1, 2015 · pp. 8–12 Read article
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AI-Driven Cybersecurity: Enhancing System Resilience with Advance Security Automation Program (ASAP)
Abstract: In the face of increasing cyber threats, this work presents advanced security automation program (ASAP) a revolutionary solution aimed at addressing modern cyber threats through the utilization of artificial intelligence (AI) and open-source technologies. Unlike conventional security systems like security information and event management (SIEM) and security operations center (SOC), ASAP provides automated defense mechanisms that surpass their limitations by significantly increasing both the speed and accuracy of incident detection …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 1–19 Read article
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Jitter Estimation in Voice
Abstract: Jitter is present in brisk perturbations of the vocal cycle lengths and when they are sampled at least at the rate of fundamental frequency they can be observed from one cycle to the next .Voice quality estimation can be done by analyzing jitter since it provides a high association with voice disorders. It also explains the variance of pitch keeps in the allowance of just noticeable difference, which can be …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 17–20 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Background Suppression for Visual Surveillance Using SOM
Abstract: AbstractBackground suppression is widely used approach for detection of moving objects in video streams which is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. An approach based on self-organization …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 15–20 Read article
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Redefining Road Safety: A Comprehensive Literature Review on Computer Vision for Speed Breaker Detection in Vehicle
Abstract: This literature review focuses on the use of computer vision techniques for detecting speed breakers on roads, with the objective of improving road safety. Speed breakers play a crucial role in controlling vehicle speeds and ensuring pedestrian safety, but their sudden appearance can lead to accidents, discomfort, and damage to vehicles. The review highlights five key points derived from the analysis of existing literature. Firstly, various computer vision algorithms, including …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 52–63 Read article
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing
Abstract: Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation. The study explores modern cloud security patterns while also evaluating how artificial intelligence modifies the identification and evaluation of complex cyber threats along with their prevention methods. New security threats such as insider operations and DDoS attacks and data breaches alongside insecure APIs can be detected through machine learning …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Refractive Index Measurement Using Integrated Fiber Optics Triangulation Technique
Abstract: Quantitative and qualitative analytical techniques are of considerable importance for the purpose of detection, identification and measurement in biomedical application. Over the years, several methods have been developed to detect and quantify various biological samples. However each of this method presents certain limitations pertaining to its sensitivity, accuracy, and reproducibility. The recent trend to improve biochemical analysis is to provide a platform, which is more sensitive, accurate, portable, rapid and …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 32–37 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article