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268 articles for “error model”
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Fast Fuzzy Network Model
Abstract: Fuzzy is applied to design a network model for performing efficiently in this paper. The probability theory is applied to analyze the existed network model and the advantages transformed into the proposed fast fuzzy network model. Various analysis techniques and formulations are presented in this paper. The resultant is the fast fuzzy network with minimized error and maximized the security over the standard computational complexity.
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 2, 2019 · pp. 33–38 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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Mathematical Modelling and Comprehensive Review on the Application of Evolutionary Strategies in Design Optimization of Shell and Tube Heat Exchangers
Abstract: This review article presents the application of different evolutionary algorithms which have been utilized for design and optimization of shell and tube heat exchangers in the last decade. The traditional trial and error design approaches can be replaced by such evolutionary algorithms. These evolutionary techniques do not need information of derivatives and hence it can be implemented in various heat exchangers geometry without much complication. Many such EA’s are successfully …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 67–78 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Dynamic Response Analysis of Isotropic and Orthotropic Rectangular Plates under Clamped-Free Conditions
Abstract: This study explores Theoretical and numerical tools of determining the free vibration properties of isotropic and fiber-reinforced composite rectangular plates. The effect of anisotropy of materials on the dynamic response of the plates is compared between the Aluminium plates and the glass-epoxy laminates. The model used in the study is a three-dimensional finite element model that is designed using a combination of SolidWorks and ANSYS workflow. Clamped-free boundary conditions are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 258–274 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Improving the Forecasting Accuracy of a Project Status Using the Inputs of Earned Value Management – A Review Article
Abstract: The earned value method (EVM) is recognized as a viable method for evaluating and forecasting project cost performance. Its application to schedule performance forecasting has been limited due to poor accuracy. The index based EVM forecasting methods are deterministic approaches having large forecasting errors in the initial stages of a project. Hence this paper gives a brief overview of the advanced accurate approaches like Kalman filter, growth model and linear …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 13–17 Read article
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Zoom Based Image Super-Resolution: Using Two Level DWT as Feature Model
Abstract: AbstractIn this paper we present an algorithm of super-resolution (SR) imaging to reconstruct high-resolution (HR) image from sequence of low-resolution (LR) images of static scene captured at the different camera zoom factor. The resultant HR image is constructed at the resolution of the most zoomed LR image. In the proposed approach algorithm uses LR images of the static scene captured at three distinct zoom-factors. Learning based SR technique is used …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 95–105 Read article
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New Data Transmission Model based on Probabilistic Coding
Abstract: This paper proposes a new model for data transmission possesses high level security and efficiency. The probabilistic coding is applied to design this model. The uniqueness comprises with the matrix, the operation lies with probability and the complexity comprises with the coding. Thus, the resultant is the proposed model. The transmission of data requires speed, accuracy, retrieval and security. There are noisy channels to transmit the information. There are also …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 34–38 Read article
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Effect of Fragment Size and Contention Window on the Performance of IEEE 802.11 WLANs
Abstract: Wireless communications is, by any measure, the fastest growing segment of the communications industry. The IEEE has standardized the 802.11 protocol for wireless local area networks. The IEEE 802.11 standard has defined two different access mechanisms in order to allow multiple users to access a common channel, the distributed coordination function (DCF) and a centrally controlled access mechanism called the point coordination function (PCF). DCF is a carrier sense multiple …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 2, 2016 · pp. 6–12 Read article
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Fuzzy Logic and Energy Model based Speed and Direct Torque Control of SVPWM Inverter Fed Induction Motor
Abstract: This paper presents speed and direct torque controllers based on fuzzy logic for a space-vector modulated pulse width modulated inverter fed induction motor. The direct torque control has been designed by decoupling the torque and flux based on the energy model of induction motor. The designed direct torque control system can be accomplished by using constant switching frequency with space vector modulated pulse-width modulated inverter. In order to control the …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 11–21 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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Performance Analysis of DWT Based OFDM System using SRRC Filter in Mobile Wimax over Fading Environment
Abstract: AbstractWavelets amid its capability to provide simultaneous information in both time and frequency domain, along with minimization of interference and improved bandwidth efficiency, is considered broadly as an efficient approach to replace fast Fourier transform (FFT) in the conventional orthogonal frequency division multiplexing (OFDM) systems. Efficient filter pulses are employed spectrally in such systems in order to mitigate the effect of inter-symbol interference (ISI) as well as satisfy the bandwidth …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 1, 2017 · pp. 1–10 Read article
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Alzheimer’s Disease Classification Based on Transfer Learning of New-CNN Model
Abstract: The long-term, irreversible brain disorder “Alzheimer’s disease (AD)” currently has no known cure. Nonetheless, current medications may impede their advancement. Globally, those over 65 are the primary population affected by Alzheimer’s disease. Accurate detection of this condition requires early diagnosis. Because there are so many people who come with an ailment, manual diagnosis by health specialists is laborious and prone to error. Early detection of AD is a difficult undertaking …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 16–23 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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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article