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605 articles for “Performance measurement”
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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A Novel Design for High Speed & Area Efficient Compressor Based Vedic Multiplier
Abstract: Multipliers are the most important part in any arithmetic and logic unit, AbstractMultipliers are the most important part in any arithmetic and logic unit, accumulators and digital signal processors. Due to the increasing constraints on delay, the design of faster multipliers is emphasized. Among several multipliers, Vedic multipliers are preferred for their speed of operation. Here the proposed Vedic multiplication techniques are based on “URDHVA TIRYAKBHYAM” a fast and efficient …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Measurement of Defects in Car Bearings and Its Effect on Ultrasonic Waves
Abstract: As one of the defects of roller bearings due to intermittent coupling forces and external impact loads,surface cracks due to corrosion or wear may have many defects for rotating machines. Surfacecracking on the bearing or its ball is one of the important factors in the efficiency of the bearing andits opening. It is useful to study these cracks and identify the type and size of these cracks for bearingsused in …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 44–49 Read article
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Discrete Hidden Markov Model based Face Recognition System Introducing Sustainability of Uneven Lighting Distortion
Abstract: The aim of this work is to enhance the performance of appearance based face recognition system to remove the uneven lighting effect which is generally occurred in natural environment. Active Shape Model has been used to detect the facial shape and contrast based edge detection technique has been applied to reduce the uneven lighting problem. Linear Discriminant Analysis has been used to reduce the dimension of the facial feature vector. …
Published in Trends in Electrical Engineering · Vol. 4, Issue 1, 2014 · pp. 9–16 Read article
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Experimental Study of Roughness Analysis of AISI 316L Material using Fiber and CO2 LBM
Abstract: Laser beam machines have gained significant attention as a precise and versatile method for cutting and shaping materials in various industries. This study investigates the surface roughness characteristics of SS 316L, a commonly used stainless steel, when subjected to laser beam machining using both fiber and CO2 laser sources. The aim of this research is to compare the effects of these two laser types on the final surface finish of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 12–21 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Creep Analysis Characterization and Study of Biodegradation Effect on Compression Molded LDPE/Cellulose Composites
Abstract: AbstractSynthetic polymers are important industrial materials, but their everyday use is hazardous to the environment. The solution to this seems to lie in modification of their structure through blending with biopolymers. Low density polyethylene (LDPE) and Cellulose were used in sample preparation for research in this work. LDPE/starch composites have undesirable properties and so there was need to explore LDPE/cellulose composites and evaluate their susceptibility to primary biodegradation. Compression molded …
Published in Journal of Polymer & Composites · Vol. 2, Issue 1, 2023 · pp. 37–45 Read article
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IMPACT OF HYDRATED LIME AND SBS ON HMA MOISTURE SUSCEPTIBILITY
Abstract: Abstract In recent years, many of the newly built asphalt and concrete roads in Baghdad and other Iraqi cities have broken down too soon. This has hurt the country's economy and public safety. One of the main reasons why these newly built roads break down is because of water damage. Leaking water weakens the bond between the aggregate and the asphalt, which makes it more likely that sidewalks will fall …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 81–93 Read article
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Correlation Between XRD Analysis and Mechanical Characterization Using Lens Manufactured Specimens Based on IoT Sensors
Abstract: The advent of the Internet of Things (IoT) has enabled the seamless integration of sensors into the manufacturing process, facilitating the collection of real-time data for analysis and optimization. The correlation between X-ray diffraction (XRD) analysis and mechanical characterization is investigated using specimens manufactured through the Laser Engineered Net Shaping (LENS) technique. The study focuses on three different materials: brass, SS202, and SS304. XRD analysis is employed to determine the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 41–58 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article
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Practical Implementation of Routing Protocol in MANETs
Abstract: AbstractPlethora of work has been done in the past to find out the solution of problems and major difficulties faced by the mobile adhoc networks. Currently , the mobile adhoc networks faces the problem of routing mechanisms [1] , power consumptions, rapid topology changes due to mobile nature of the MANETS node. This paper describes about the various steps of configurations that are needed to implement the route agreement protocol …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 3, 2018 · pp. 25–31 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Evaluation of Impacts of Dispatch Headway Variability in Bus Transit Systems in a Simulated Route
Abstract: This paper presents reliability analysis of bus transit systems based on numerical simulation of the range of headway variations in a bus route consists of multiple stops. Variation of performance in bus operation due to the variation of departure headways is determined through number of simulations. Operational performance is measured by the average waiting time of passengers at stops. Simulation results show that average waiting time as well as spread …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 3, 2014 · pp. 7–18 Read article
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Face Recognition using LDA based Support Vector Machine
Abstract: AbstractRecognition of a person is an easy task for human brains. From different experiments, we have found that even one to three days old babies are able to distinguish between known faces. So, it is very difficult task for a computer to recognize an unknown human face although a computer has been trained with a huge set of human face. Now-a-days face recognition has received significant attention of researchers. Lots …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 1–7 Read article
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Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article
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Comparative Study of Classifiers for Monitoring Fake Reviews of Online Products Using Opinion Mining
Abstract: With the increasing popularity of e-commerce, online dealers seek reviews or opinions from customers regarding the quality and service of their sold products. As the number of customer reviews grows rapidly, potential buyers face difficulties in reading and assessing them to make informed decisions. Unfortunately, some review websites include fake positive reviews, either added by the product companies themselves or submitted by users who have not made a purchase. This …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 52–59 Read article