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276 articles for “Accuracy”
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Performance Analysis of SVM and CNN Networks for Defect Detection in Solar Panel
Abstract: Use of solar panel in generating electricity is increasing globally day by day to meet the increase in demand of power. Many developments have been made in order to achieve higher efficiency of the system. But efficiency of the system may still decrease due to harsh environmental conditions or poor handling of the. These factors highly contribute in the performance degradation of the system. For detection of these irregularities, human …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 15–24 Read article
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Real-time Face Mask Detection with Face Recognition Using MobileNetV2
Abstract: In 2019, human civilization faced one of the scariest pandemics in a century. The government advises people to wear a mask for their safety. But there are some cases when we find people without masks,and monitoring all of them manually is not a practical solution in today's world. We needed a method that does this job automatically with higher efficiency. To solve the problem, we have performed face mask detection …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article
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Review of Machine Learning Based Methodologies for Detection of Heart Diseases
Abstract: Nowadays, the number of patients having heart disease has significantly increased. This is due to our lifestyles, globalization, industrialization, and a variety of other things. This paper presents the review of various machine learning-based methodologies to diagnose heart disease by analyzing the heart sounds. In a later section of the paper, we discussed various machine learning methodologies and their insight to detect the abnormality in the heart through analysis of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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Diabetic Retinopathy Detection from Retinal Images Using Convolutional Neural Network
Abstract: Diabetic retinopathy (DR) is a popular problem of diabetes and the major reasons of loss of sight in the active inhabitants. Many of the problems of DR can be avoided by blood glucose manage and regular remedy. Since the kinds and the difficulties of DR, it is actually hard for DR detection in the time-consuming regular analysis. This document is to effort towards discovering an automated method to sort out …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 8–17 Read article
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology · Vol. 7, Issue 1, 2021 · pp. 23–30 Read article
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Microcontroller Driven GPS Clock
Abstract: ABSTRACTGPS satellites (and now GNSS also) generally include more than three (or four) atomic clocks which are monitored and controlled for being highly synchronized and traceable to coordinated universal time as national and international standards. Thus for synchronization of time, the GPS signal is first received, then processedwith help of a“local master clock”, time server, or primary reference, and passed on to "slaves" or other devices such that their "local …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 32–36 Read article
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Fault Diagnosis of Helical Gear Box Using Variational Mode Decomposition with Naïve Bayes and Bayes Net Classifiers through Vibration Signals
Abstract: Gear is a very important machine component which finds use in most of the machines which requires some sort of power transmission or reduction. Unattended faults in gears can be catastrophic for the machine leading to halts in production and consequent economic loss. The requirement for a gear fault detection and diagnosis system is thus emphasized. Vibration signals are often used in fault diagnosis applications along with Fast Fourier transform …
Published in International Journal of Manufacturing and Materials Processing · Vol. 1, Issue 1, 2014 · pp. 1–16 Read article
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Detection of Road Objects and Road Signs from 3D Mobile Mapping System
Abstract: As the number of practical applications of point clouds from a mobile mapping system (MMS) increases, the use of modeled data from MMS has also increased in many fields. However, the data-modeling process is costly. Therefore, in order to make the modeling process efficient, a method of recognizing road objects is needed. Conventional methods cannot recognize objects that include various shapes such as walls and guardrails, or objects that are …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 26–30 Read article
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Vibration Analysis of Sandwich Beams Using 3-Noded Beam Element
Abstract: One-dimensional 3-noded finite element model is developed in this paper for the vibrational analysis of composite sandwich beam for various boundary conditions, using the efficient layer wise zigzag theory. To come across the convergence necessities for the weak integral formulation, fifth power Hermite interpolation is utilized for the transverse displacement and quadratic interpolation is utilized for the axial displacement and shear rotation. Element every node has four degrees of freedom. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 2, Issue 2, 2016 · pp. 10–18 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Importance of Fiber in Human Health
Abstract: Fiber is an essential component in modern science and daily life, contributing significantly to both human health and technological advancement. In Dietary fiber is an essential component of nutrition that contributes significantly to overall health and disease prevention. It is mainly derived from plant-based sources including fruits, vegetables, legumes, nuts, and whole grains. Fiber supports healthy digestion, enhances bowel regularity, prevents constipation, and promotes the growth of beneficial intestinal microorganisms. …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 Read article
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Artificial Intelligence in Nursing: Empowering the Workforce of Tomorrow
Abstract: Artificial Intelligence (AI) is transforming modern healthcare, including nursing practice, by enhancing clinical decision-making, improving patient outcomes, and simplifying administrative tasks. The article also explains the benefits of AI in nursing, such as increased diagnostic accuracy, better time management, and easily accessible mental healthcare for nurses. However, there are drawbacks to using AI, including algorithmic bias, data privacy, moral dilemmas, and the possibility of care disassociation, all which are properly …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 6–11 Read article
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Assessment of M30 Concrete Compressive Strength Using Digital Rebound Hammer and Destructive Testing
Abstract: Abstract The assessment of in-situ concrete strength using non-destructive testing (NDT) techniques hasbecome increasingly important for quality assurance, structural evaluation, and conditionassessment of concrete infrastructure. Among the available NDT methods, the digital reboundhammer offers a rapid, economical, and non-destructive means of estimating concretecompressive strength. This study experimentally investigates the correlation between reboundnumbers obtained from a digital rebound hammer and the compressive strength of M30 gradeconcrete determined using a Compression Testing …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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Nurses' Responsibilities and Patients' Rights in Safe Medication Administration
Abstract: Safe medication administration is a fundamental responsibility of nurses and a critical element of quality healthcare. As the final healthcare professionals involved before medications reach patients, nurses play a vital role in preventing medication errors, ensuring adherence to prescribed treatments, and protecting patient safety. Equally important is the recognition and protection of patients' rights throughout the medication administration process, including the right to receive accurate information, participate in decision-making, provide …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 2, 2026 · pp. 6–15 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Evaluation of Deformation Behavior of a Structural Pipe Bracket Under Static Loading Using Finite-Element Analysis
Abstract: This study presents a comprehensive structural integrity assessment and comparative static response analysis of an industrial support bracket subjected to varying mechanical loading conditions using the finite element method (FEM). Industrial brackets are essential load-bearing components in mechanical and structural systems, where adequate stiffness, strength, and dimensional stability are critical for ensuring operational reliability and structural safety. The primary objective of this investigation is to evaluate the influence of material …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article