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1180 articles for “FEA”
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Implementation of Human Gesture Recognition Using CNN
Abstract: A gesture popularity system based entirely on convolutional neural networks (CNNs). Preprocessing techniques include segmentation, polygonal approximation, contour construction, morphological filters, and resource characteristic extraction. Various convolutional neural networks are employed for training and testing, with results compared to existing architectures and protocols. All generated measurements and convergence graphs produced at any point during education are examined and contested in order to verify the reliability of the approach offered. Our …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 24–37 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Sense Wear: Empowering Accessibility for the Visually Impaired
Abstract: “Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Measuring Social Media’s Impact on Impulse Buying Behavior
Abstract: This study investigates the influence of social media on impulse buying behavior, focusing on how various platforms drive spontaneous purchases and the psychological and demographic factors that contribute to this behavior. Using a mixed-method approach, the research combines quantitative surveys with qualitative insights to offer a comprehensive analysis. We explore how different types of content, such as targeted advertisements, influencer endorsements, and user-generated media, impact consumer impulses. The study examines …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 14–22 Read article
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Affect of Finite Element Modelling on Static Behavior of Underwater Shell
Abstract: The objective of the present study is to compare and contrast different numerical models based on their mesh quality and material properties in predicting the response of an underwater shell under an external pressure of 1 MPa. Two different mesh qualities with the same element size are developed for solid geometries without and with slicing the solids at geometric discontinuities to enhance the element quality. From the static response of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 154–163 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Nano Positioning for Large Scanning Range for XY Mechanism
Abstract: In this study, an XY flexure stage that provides a variety of motion options while reducing incorrect motions is designed and assessed. In the flexure design, the double parallelogram flexure modules are positioned methodically and symmetrically. The performance of the flexure stage is assessed using finite element analysis, and experimental testing is performed to validate the findings. The built-in prototype of the flexure stage has dimensions of 350 mm x …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 1, 2025 · pp. 30–35 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Solar Panel Maintenance and Prevention System
Abstract: Solar energy has emerged as a sustainable and efficient alternative to conventional energy sources. However, maintaining solar panels is crucial to ensure optimal performance and longevity. Accumulation of dust, dirt, and environmental debris can significantly reduce energy efficiency, leading to increased operational costs and potential system failures. To overcome this issue, we suggest an IoT- based Solar Panel Maintenance and Prevention System that facilitates automated cleaning and preventive maintenance via …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 29–34 Read article
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Stress and Failure Analysis of Hybrid FRP Laminated Tubular Joints
Abstract: Composite tubes have been used in transporting corrosive fluid in petro chemical and paper industries. [Fiber reinforced Polymers] FRP Composite Pipes are even becoming popular in the offshore oil and gas industry. Bonded joints with tubular adherends are finding applications in various piping industry. In the recent times Hybrid Tubular Bonded Lap Joints (HTLJ) have been extensively used to optimize the cost and to enhance the performance of the joint. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 461–471 Read article
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Advances in Nanoformulations for Targeted Drug Delivery Systems
Abstract: The work examines modern nanoformulations used for enhancing targeted drug delivery systems that simultaneously produce better therapeutic effects with reduced adverse effects. The pharmaceutical industry achieved deliverable drug development progress through diverse nanocarrier innovation which encompasses liposomes and nanoparticles and dendrimers and micelles. Tissue and cell-based directed delivery becomes possible via this technology to enhance the management of neurological disorders and cancer diseases. The investigation analyzes different nanoformulations by reviewing …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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A Review of Failure Investigations and Its Techniques
Abstract: Valve failure poses a significant financial risk in the offshore oil and gas industry. Serious repercussions from this problem could include property damage and lost output from operational shutdowns. Additionally, it can lead to serious health, safety, and environmental (HSE) concerns such as oil and gas leaks, environmental contamination, and potential fatalities. In the Norwegian offshore industry, different kinds of valve failures have happened for a number of reasons, including …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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A Survey on Ensemble Technique for Enhanced Cyberattack Detection
Abstract: It is now more difficult than ever to safeguard enterprises against cyberattacks due to their fast growth and growing sophistication. Stronger cyberattack detection systems are becoming more and more necessary as hostile strategies continue to evolve in order to safeguard information, preserve corporate trust, and protect sensitive data. An overview of contemporary detection techniques is given in this study, with a focus on integrating machine learning (ML) to increase efficacy. …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 50–54 Read article
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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Fallacious Reasoning (Emphasizes the flawed or misleading nature of the reasoning)
Abstract: It is essential to recognize that faulty reasoning and & faulty logic denote the same principle, both indicating a deficiency in reasoning. The term faulty denotes the presence of errors or imperfections, while logic pertains to sound reasoning or judgment. Faulty logic can also be seen as a rhetorical technique. This paper demonstrates how incorrect or misleading answers can ultimately guide us toward accurate conclusions. By honing the ability to …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
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Finite Element Modelling of Contact Stresses in Helical Gear Systems
Abstract: Helical gears are widely used in modern power‐transmission systems because of their high load‐carrying capacity, smooth meshing action, and increased overlapping of gear teeth. However, the design of helical gear pairs is constrained by contact stresses generated at the mating tooth surfaces, which can lead to surface fatigue (pitting), micro-cracking, and ultimately gear failure. Traditional analytical methods, such as those of the American Gear Manufacturers Association (AGMA) or International Organization …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 35–39 Read article
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Fracture Analysis of FRP Composites under Thermo-Mechanical Loads for Different Geometry Cutouts
Abstract: Fiber-reinforced composites (FRPs) are used extensively in structural and non-structural components of the aerospace and automotive industries. To utilize these materials for structural applications, it is necessary to understand the fracture behavior of the material. In the present investigation of carbon fiber laminates, studies were carried out to understand the fracture toughness characteristics of the carbon fiber laminates with mechanical, thermal, and thermo-mechanical loadings of modes I, II, and III. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article