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219 articles for “Error analysis”
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Articulatory Error Analysis in Kannada Speaking Children with Hearing Impairment: An Exploratory Study
Abstract: Speech sound errors are common in children with hearing impairment even after extensive speech therapy. Studies investigating the articulatory characteristics of children using hearing aids are relatively less reported in Indian languages. This study examined the nature of speech sound errors in Kannada speaking children with hearing impairment in comparison with age matched normal hearing peers. A detailed articulatory analysis was carried out from recorded speech samples. Research comparing articulatory …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 47–57 Read article
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Automatic Irrigation System on Sensing Soil Moisture Content
Abstract: AbstractIn developing countries like Bangladesh, farmers depend on rivers and rainfall to water their crops properly. Even though water pumps are used for irrigation purposes, the farmers have to operate those manually. In this paper, a system is proposed to reduce the human intervention as it will switch the motor on/off automatically after sensing the soil moisture content. Further system will allow the farmers to receive much needed rest and …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 2, 2018 · pp. 13–20 Read article
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An Analysis of Pronunciation Errors in The Production of Silent Letters of English Language by Secondary School Students in Borno State
Abstract: Perfect pronunciation as one of the effective language skills in communication greatly affects teaching, learning and usage of English as a second language because it enhances transfer of information from source to target. This paper adopted Corder explanation of errors and mistakes which sees them as gaps/deficiencies in learners’ knowledge of a language as theoretical framework and analysed pronunciation errors of the English silent letters by Senior Secondary School students …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 33–39 Read article
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Power Estimation for VLSI Circuits Using Neural Networks
Abstract: Neural network based VLSI power estimation is done which estimates power in VLSI circuits from its input/output and gate information, without simulation and analysis of its detail structure and the interconnections.Artificial neural network is created which helps in estimation of power. Power estimation results from the [2] [3]are used as the training vector for the network .The network is trained using Back-propagation algorithm. Asimple recurrent network is also introduced called …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 45–56 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Analysis of Submarine Hydrodynamics and NACA Aerofoils Using Ansys Fluent
Abstract: This study investigates the hydrodynamic behaviour of submerged offshore vehicles, including submarine hull and NACA aerofoils through simulation and fluid flow analysis, using ANSYS Fluent. The study models the interaction between fluid flow and offshore submerged vessels i.e. a Standard Submarine Model and various NACA profiles, simulating pressure distributions and drag forces that affect offshore operational stability. The analysis comprises of the study of multiple mesh profiles required to calculate …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 48–55 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Detection of Stator Winding Faults Using Finite Element Analysis (FEA) in BLDC Motors
Abstract: Detection of eccentricity faults has been feasible using physical and vibrational parameters. The Brushless DC motor is undergoes various kinds of stresses including mechanical, electrical, thermal, and environmental. These stresses increase the probability of occurrences of stator faults with various severity levels. The well maintained BLDC motor and correct operations decrease the probability of occurrences of faults. These faults are of three types as damage in laminations, damage in frame …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 82–90 Read article
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Simulation Analysis of RSW on Nugget Diameter on CRCA Steel Sheet
Abstract: In spot welding process, in the industry, prime concern is adequate strength and good spot weld considering aesthetic looks with less power consumption. Strength is function of properties of material and nugget diameter is also function of properties of material. So to achieve strength there must be analysis of nugget diameter and break load both experimentally and analytically with help of software and actual testing of sheet metal spot welds. …
Published in Journal of Production Research & Management · Vol. 9, Issue 1, 2019 · pp. 31–35 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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Improvement of BER in Wavelet Transform-based OFDM System with Kalman Filter
Abstract: AbstractWe know that bandwidth is the most precious commodity in all communication systems such as 2G, 3G and 4G. Each service provider is now searching how to accommodate a large number of users within a limited allocated bandwidth, In order to increase the data rate of wireless medium with higher performance, orthogonal frequency division multiplexing (OFDM) is chosen. In this paper, the bit error rate analysis (BER) of discrete wavelet …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 21–28 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Bending and Single Edge Notch Bending Test (SENB) Investigation of Natural Fiber- Reinforced Epoxy Composites using Machine Learning
Abstract: The present study aims to determine the behavior of hemp fiber-reinforced epoxy composites in terms of bending behavior and fracture toughness under bending load resembles the substitutive behavior of existing synthetic composites. The fabrication was carried out by hand lay-up assembly of hemp fiber with Lapox-12 epoxy resin volume fraction of 60:40 fiber: matrix volume. Flexural testing revealed an average strength of 93.5 ± 2.8 MPa and SENB testing revealed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 59–69 Read article
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Performance Analysis of 160 Channel WDM System with EDFA Amplifier
Abstract: AbstractErbium Doped Fiber Amplifier (EDFA) amplifiers are popularly used in wavelength division multiplexing (WDM) system to compensate attenuation and dispersion. The performance of EDFA depends on various parameters such as, EDFA length, Er+3 doping concentration, active fiber length, pump power, pumping wavelength etc. This paper analyzed the performance of EDFA with counter pumping and co-pumping varying the EDFA length, pump power and Er+3 doping concentration and optimized the values for …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 3, 2017 · pp. 25–34 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
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Self-Compensation of Commutation Phase Error for Brushless DC Motor
Abstract: BLDC motors are synchronous motors powered by DC electricity via an inverter which produces an AC electric current to drive each phase of the motor via a closed loop controller. Electronic commutation is the on-and-off of the semiconductor switches at appropriate time to turn stator windings. Commutation phase ripple is generated due to the different exchange rate between outgoing phase current and incoming phase current of inverter during commutation period. …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 72–81 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article