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211 articles for “computational modeling”
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Deep Learning Approach Based Brain Tumor Detection
Abstract: The brain tumor is one of the most deadly disease which is of great concern and hence to detect and extract the effected tumor area in the brain from the MRI has lot of research potential. It is also a very difficult task to perform by the experts. The perfection of the vivisection depends on how much experienced the radiologist or the clinical expert is. So to overcome the wastage …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 57–63 Read article
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Modeling and Simulation of n-ZnO/i-ZnO/Si p-i-n Heterojunction Solar Cell
Abstract: This paper presents 2D numerical simulation of n-ZnO/i-ZnO/p-Si p-i-n heterojunction solar cell using commercial device simulation software ATLAS from Silvaco Inc. This work deals with the design and performance optimization of p-i-n heterojunction solar cell using two dimensional computer aided design (TCAD) tool ATLAS from Silvaco Inc. The device has been simulated and analyzed with respect to the I-V characteristics of the device in dark and illuminated condition. Further figure …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 2, 2016 · pp. 1–7 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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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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A Computational Study of Solar Air Heater for Its Performance Enhancement by Numerical Approach Using Standard CFD Tools
Abstract: In the following report, the main objective is to calculate the efficiency of the solar air heater, mean exit temperature of air using CFD (Computational Fluid Dynamics) simulation. CFD software promises to be a futuristic field of application especially in the field of thermal engineering. The analysis is performed on a two dimensional built solar air heater. The geometry modelling is done in “Gambit” software followed by its analysis for …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 21–27 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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Numerical Simulations on Suitability of Blending Indian Coal during Normal Air Combustion
Abstract: The development of the country’s economy in the past decade has increased the energy consumption in India. The major source of energy in our country is combustion of fossil fuel i.e. coal. The research on pyrolysis of coal and other fossil fuels is related to unsteady state, one dimensional, variable property model of transport phenomena with inclusion of heat, mass and momentum transfers. In the present research work mainly aimed …
Published in International Journal of Polymer Science and Engineering · Vol. 4, Issue 1, 2018 · pp. 20–27 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Parallel and Distributed Computing—A Review
Abstract: Parallel and dispersed registering is an intricate and quick developing exploration territory. In its short 50-year history, the standard parallel PC engineering has developed from Single Instruction Multiple Data stream (SIMD) to Multiple Instructions Multiple Data stream (MIMD), and further to approximately coupled PC bunch; now it is going to enter the Computational Grid period. The calculation research has additionally changed as needs be throughout the years. In any case, …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 2, 2016 · pp. 35–46 Read article
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Design and Analysis of 3D Printer Using FDM Method
Abstract: Fused deposition modelling (FDM) is an additive manufacturing technique for layer-by-layer printing of three-dimensional objects. The research's major goal is to create and assess a low-cost 3D printer that can print items within a 200×200×200 mm printing area utilizing easily available materials and manufacturing methods. Phase of additive manufacturing Because of its advantages over traditional methods, 3D printing is becoming more common. A 3D printer is a computer that produces …
Published in International Journal of Computer Aided Manufacturing · Vol. 7, Issue 2, 2021 · pp. 17–22 Read article
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Cooling and Heating Effect of Geothermal Energy and Its Thermal Analysis Using Air as a Flow Medium
Abstract: Geothermal energy is one of the renewable sources of energy, which exists free in the environment. The main concept of a geothermal energy is the thermal energy of the ground which is used for cooling and heating. Here, air is used as a flow medium. The flow medium gets cool in the summer and gets heated in the winter due to the temperature difference between the flow medium and underground …
Published in International Journal of Computer Aided Manufacturing · Vol. 4, Issue 1, 2018 · pp. 18–32 Read article
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Dynamics Behaviour of Clamped-Clamped Non-Uniform Elastic Beam on Two Parameters Foundation Under Concentrated Moving Load
Abstract: This paper presents a computational study on the dynamic response of a clamped–clamped non-uniform elastic beam supported by a two-parameter foundation and subjected to a concentrated moving load. The analysis incorporates the inertial contribution of the moving load. Unlike uniform models, both the mass per unit length and the moment of inertia of the beam are assumed to vary along the span LLL. The governing equations are solved using the …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–18 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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INFLUENCE OF PROCESS PARAMETERS IN BLANKING USING ANSYS EXPLICIT DYNAMICS
Abstract: The shearing process such as the blanking of sheet metals has been used often to prepare work pieces for subsequent forming operations. In the current literature it prescribes a model investigation of the effect of process parameters influencing the blanking process on the part edge quality of blanked parts. The blanking process model, simulation and optimization are carried out by using CATIA V5R20, explicit dynamics with ANSYS package. The objective …
Published in International Journal of Composite Materials and Matrices · Vol. 4, Issue 2, 2018 · pp. 4–20 Read article
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Finite Element Modelling and Structural 3d Static of the Mechanical Behavior of Dry Contacts Slipping Between the Disc and the Brake Pads
Abstract: The aim of this contribution is to present a study based on the determination of the structural deformations due to the contact of slipping between the disc and the pads. The results of contact described in this work relate to displacements, Von Mises stress and contact pressures of the pad at various moments of simulation. One precedes then the influence of some parameters on the computation results such as rotation …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 2, Issue 1, 2016 · pp. 23–43 Read article
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Safety, Toxicology, and Regulatory Science of CT Nano‐Contrast Agents in Radiology
Abstract: Nanoparticle-based contrast agents for X-ray computed tomography (CT) seek to overcome limitations of conventional iodinated small-molecule media but raise distinctive safety, toxicology, and regulatory science questions. Nano–bio-interactions specific to CT nanocontrast include reticuloendothelial system (RES) uptake, long-term hepatic and splenic retention, size-dependent renal versus hepatobiliary clearance, and potential immunogenicity and genotoxicity, all strongly influenced by particle composition, size, shape, surface charge, and coating chemistry. Robust preclinical evaluation requires harmonized in …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 36–47 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article