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219 articles for “Error analysis”
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A study on Parametric and Non-Parametric Statistical Tools
Abstract: This research report provides a brief overview of the most recent research techniques. The field of the research process has seen a resurgence of attention due to recent advancements in academia. Professors, Ph.D. candidates, researchers, investigative officers, and university students comprise the demographic of this research article. The article will become an essential part of your research papers, projects, and reports for citations due to future obligations. This study is …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 10–31 Read article
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Load Balancing Approach for Proposed Hybrid Scheduling Algorithm in Heterogeneous Networks
Abstract: AbstractRecent developments in multiple technologies evolving nowadays provide users with broadband services of high quality and seamless mobility. Wireless networks comprising of third generation (3G) and fourth generation (4G) are on the verge to provide wide coverage and good mobility capabilities. All these high quality wireless networks have been deployed within one region overlapping each other, hence generating a heterogeneous network for wireless access which can be represented as 4G …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 1–9 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Comparative Study of Linear Regression Techniques for Analyzing THPP of Solar Parabolic Trough Receiver with Twisted Tape Inserts using Machine Learning.
Abstract: This study presents a comparative analysis of four different linear regression techniques for predicting the THPP of a solar parabolic trough receiver with twisted tape inserts. The four techniques analyzed are: ordinary linear regression, interaction linear regression, robust linear regression, and stepwise linear regression. The study is aimed at determining the most suitable technique for predicting the heat transfer characteristics of the solar parabolic trough receiver with twisted tape inserts. …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 3, 2022 · pp. 39–47 Read article
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Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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Fuzzy Variable Frame Analysis for Speech Recognition
Abstract: AbstractRecent works in machine learning has focused on models such as support vector machine (SVM), artificial neural network (ANN) and long short-term memory (LSTM), for automatically controlling the generalization and parameterization of the optimization process. This paper presents a fuzzy interpretation frame analysis procedure using LSTM classifier for noisy speech at word level using thresholding and local maxima procedure at framing level for the recognition process. Front end MFCC procedure …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 9–18 Read article
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Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review
Abstract: The structural analysis and design of multi-story residential buildings have become more complex because cities continue to grow while safety requirements become more demanding and building codes establish stricter requirements. The traditional methods of structural analysis worked through manual execution which required extended periods to complete and suffered from computational errors that primarily affected indeterminate structures and lateral loading conditions. This review paper providesa detailed evaluation of previous works related …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 40–45 Read article
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An Efficient Recursive Least Square (ERLS) Algorithm for Spectral Estimation with the Aid of Wavelet and Artificial Intelligence
Abstract: The spectral estimation technique is used for time frequency signal analysis, speech processing, and other signal processing applications. Some drawbacks of RLS algorithm are that it requires high computational power and the output obtained is numerically instability. So, the spectral efficiency of the signal is affected and a power error occurs in the estimator. In this paper, an efficient recursive least square (ERLS) algorithm is proposed for improving the power …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Evaluation of Patient-Specific Quality Assurance for RapidArc Treatment Delivery Using Dose Volume Histogram
Abstract: This study aims to evaluate the application of dose volume histogram (DVH) metrics within the patient-specific quality assurance (PSQA) protocol in various sites for RapidArc treatment delivery. Forty patients were included in this study, of which twenty each Head and Neck (H&N) and Pelvis Rapid Arc plans were evaluated. Octavius 4D 1500 detector array with vented parallel plate ion chambers was used for this study, which reconstruct the pre-treatment measured …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 14–22 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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The Symbiosis Between Spherical Refractive Error Cylindrical Refractive Error
Abstract: This study aimed to acknowledge the link between spherical refractive error and cylindrical refractive error, which is crucial for diagnosing and managing visual abnormalities productively. This research employed a multi-center, cross-sectional, analytical, and retrospective approach to investigate refractive errors. The objective results were refined subjectively to the best visual acuity with conventional clinical representations of refraction using the sphere, cylinder, and axis. The gathered data underwent analysis utilizing statistical software …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 67–76 Read article
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Performance Analysis of DE-QPSK and π/4 QPSK with MRC Receiver over η-µ fading channel
Abstract: This study presents approximate but simple expression for the average symbol error rate of differentially encoded quadrature phase shift keying (DE-QPSK) and π/4 QPSK with Maximal Ratio Combining (MRC) diversity over independent η-µ fading channels. Numerical results demonstrate the error performance for different values of fading parameter µ for Lth order MRC for Format 1 and Format 2. Furthermore, error performance of both modulation techniques has also been analyzed for …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 53–59 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Enhancing Patient Safety in the Operating Room: Mitigating Adverse Events and Preventing Errors
Abstract: The safety of patients in the operating room is a matter of utmost importance for healthcare practitioners. Adverse events and errors during surgical procedures can have severe consequences for patients, leading to complications, prolonged hospital stays, and even mortality. This review article aims to provide a comprehensive analysis of strategies to enhance patient safety in the operating room, focusing on mitigating adverse events and preventing errors. Through a thorough examination …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 1, 2023 · pp. 1–5 Read article
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Analysis of Cooperative Communication Techniques
Abstract: The scope of this study is to analyze cooperative communication techniques by measuring the symbol error rate vs. signal to noise ratio and analyzing the merits and demerits of those techniques. Unless stated otherwise, the channel is modelled as Rayleigh fading and noise is modeled as white Gaussian. The results of this study can be used to understand the benefits of cooperative protocols and their necessity in future communication systems. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Modeling, Analysis and LQR Control of an EV Differential using IPMSM
Abstract: Recently, the mechanical differential (MD) of vehicle has been replaced by electronic differential (ED) by means of electric motor. Electronic differential ensures dynamic and robust control of the vehicle behavior. The ED has been designed for an electrical vehicle (EV) based on IPMSM due to its some inherent advantageous features. The design of speed controller of an IPMSM mainly depends on its mathematical model. The mathematical model based speed controller …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 23–34 Read article
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Performance Analysis of Carrier Frequency Offset (CFO) and Phase Noise in 4G Communication System
Abstract: For telecommunication services the dramatic shift in the market has been made in beginning of 21st century. In these days' communication network the key challenges is to integrate numerous serves, convey the additional data as expeditiously as doable through limited bandwidth and providing high information data rates. For 4G communication systems 3GPP introduced two features Higher Order Modulation and Multiple Input Multiple Output (MIMO) in OFDM system but one limiting …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 33–46 Read article