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615 articles for “FEA”
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The necessity of Heritage Regulations and Awareness in Historic Urban Precincts. A Case study of Amritsar
Abstract: India has an enormous built heritage and values which represents the growth of the tangibles and intangibles through the past, which eventually plays a crucial role in shaping the urban fabric of many historical cities and their precincts.The paper aims to suggest some effective measures to protect historical urban precincts and areas. Primarily all architectural elements and features have connectivity to certain past cultural and historic eras, so, these bring …
Published in International Journal of Urban Design · Vol. 5, Issue 2, 2022 · pp. 1–6 Read article
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Deep Learning in Medical Image Classification and Object Detection: A Survey
Abstract: Deep learning methods have demonstrated superior performance in the area of computer vision, speech recognition, natural language processing, healthcare, and many more. Convolutional neural networks (CNNs) are a class of deep learning methods that have the ability to learn from raw data available as images, audio, or text. CNNs have become a powerful tool for variety of pattern recognition tasks due to the availability of abundant data and GPU-based training. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 1–15 Read article
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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Knowing Captchas Using Deep Learning
Abstract: Websites can use CAPTCHA (Completely Automated Public Turing Test to Differentiate Computers from Humans) to distinguish between humans and machines and prevent automated attacks by programmers and malicious programmers. Studies on CAPTCHA recognition have the potential to uncover security flaws, advance CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs can be bypassed by utilizing the principles of deep learning and computer …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 30–40 Read article
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Depression Detection System
Abstract: Traditionally, depression was identified through in-depth clinical interviews, during which the psychologist would analyze the subject’s responses to ascertain his or her mental condition. With the prevalence of depression increasing, some automated and trustworthy methods of depression recognition are needed. Our Objective it to design a model that can extract relevant features automatically as an input using efficient machine learning algorithms and further detect the depressive state of the user …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 28–37 Read article
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Effects of Coupling Agent and Nanoclay on the Mechanical, Morphological and Dimensional Stability of Natural Fiber/Polypropylene Composites
Abstract: Polymer nanocomposite is made up of polymer as a matrix ingredient and reinforcement ingredient as a filler in the form of nanometer particles. These ingredients have dissimilar physical and chemical features and are mixed to generate sole features of nanocomposites. Polypropylene (PP) was nominated as the polymer matrix ingredient. Reinforcement ingredients used include organically modified montmorillonite with natural fiber. Various composites based on polypropylene, natural fiber, and organically modified montmorillonite …
Published in International Journal of Composite Materials and Matrices · Vol. 8, Issue 1, 2022 · pp. 9–18 Read article
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Fabrication and Study of Natural Plant Fiber Reinforced Polymer Composites
Abstract: Snake grass fiber (sansevieria trifasciata fiber, STF)-strengthened polypropylene (PP) based composites (30 wt% by fiber) was made by hot press technique. STFs were modified by ultraviolet (UV) rays and the composites they produced were evaluated. Optimized STFs were again modified with monomer using UV rays to progress the mechanical features of the composites. Monomer concentration and no. of UV rays were optimized in terms of grafting and mechanical features of …
Published in International Journal of Polymer Science and Engineering · Vol. 7, Issue 1, 2021 · pp. 11–22 Read article
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Flutter study of a solar powered high-altitude long endurance UAV
Abstract: This paper presents an aero-elastic flutter analysis on a high altitude long endurance unmanned air vehicle. Numerical finite element analysis (FEA) based simulations for flutter have been carried using the commercial FEA package ANSYS. Analytical flutter analysis is performed to verify the FEA results. The analytic flutter analysis gives the divergence speed to be 32.7 m/sec. The numerical flutter analysis of the rudder shows the bending and torsional modes for …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 2, Issue 2, 2016 · pp. 01–09 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Cost-Constrained Sensor Reduction for Deployment AwareIoT-Based Multiclass Water Quality Monitoring
Abstract: Large-scale Internet of Things deployment for water quality monitoring systems is bounded by the capital and several other costs associated with the multi-dimensional sensor. While prior research demonstrates strong predictive performance using multi- parameter physicochemical sensing, limited attention has been given to explicit sensing cost constraints and deployment feasibility. This work formulates multiclass water quality classification as a cost-constrained learning problem in which sensing dimensionality is minimized subject to bounded …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Communication Profile of a Child Suspected to Have Saethre-Chotzen Syndrome: A Case Report
Abstract: Saethre-Chotzen Syndrome (SCS) is a rare congenital craniosynostosis syndrome characterized by craniofacial anomalies, limb abnormalities such as syndactyly, and varying degrees of developmental and cognitive delays. While its genetic and structural features are well-documented, there is limited literature detailing the communication characteristics associated with the condition. This case report describes the comprehensive speech, language, developmental, and auditory profile of an 8-year-old male child presenting with phenotypic features strongly suggestive of …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 14–20 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Design and Finite Element Analysis of Go-Kart Tubular Chassis Using Ansys
Abstract: The design of a go-kart chassis involves the vehicle’s performance, safety, and handling characteristics. The present work focuses on the conceptual design, modeling, and structural analysis of a go-kart chassis aimed at achieving an optimal balance between strength, weight, and driver comfort using FEA software ANSYS. A detailed chassis model was developed based on ergonomic considerations and racing standards. The design was evaluated through an FEM approach to assess stress …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 56–64 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Rural electrification through micro-grid design case study
Abstract: We introduce the design and experimental demonstration of a scalable DC micro-grid for rural electrification in the developing regions. The distributed control of the grid voltage is one of the main features of the DC micro-grid architecture, which allows both instantaneous power sharing and a metric for available grid power. A droop-voltage power-sharing scheme is utilized wherein the bus voltage decreases in response to low supply/high demand. Besides that, the …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Green Hubs in Working Spaces: A Case of IndianHabitat Center
Abstract: The rapid urbanization of cities has turned them into high-pressure environments where environmental and social challenges are increased and need innovative design solutions. This paper considers the Indian Habitat Center in New Delhi as a model for biophilic design in working spaces focusing on how architectural and landscape features influence sensory experiences. IHC is integrated with natural light, extensive greenery and water features that provide aesthetic appeal and also help …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 1–12 Read article
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Mechanistic Insights into Solvent-Controlled Stepwise and Concerted Cycloadditions of the Propadienyl Cation with Oxoamides: A DFT Study
Abstract: AbstractOxazoles constitute an important class of heterocycles with widespread applications in medicinal chemistry and materials science, yet the mechanistic features governing their formation via cationic cycloaddition reactions remain incompletely understood. In this work, we present a comprehensive density functional theory (DFT) investigation into the reaction between the propadienyl cation and oxoamides as a model system for oxazole ring formation. Using the CAM-B3LYP/6–31+G(d,p) level of theory, we systematically compare gas-phase reactivity …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 8–17 Read article
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Design and Finite Element Analysis of Go-Kart Tubular Chassis using Ansys
Abstract: Abstract:- The design of a go-kart chassis involves vehicle’s performance, safety, and handling characteristics. The present work focuses on the conceptual design, modelling, and structural analysis of a Go-Kart chassis aimed at achieving an optimal balance between strength, weight, and driver comfort using FEA software Ansys. A detailed chassis model was developed based on ergonomic considerations and racing standards. The design was evaluated through FEM approach to assess stress distribution, …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article