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627 articles for “Hybridization”
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Wettability and Physiothermal Analysis of Silver-Reinforced Eggshell-Derived Hydroxyapatite Based Biocomposite
Abstract: Hydroxyapatite (HAp), a biocompatible ceramic material, has garnered significant interest in medical applications due to its natural bone type replica. The current study investigates the physical, wettability, and thermal properties of a novel HAp derived from eggshell waste and reinforced with silver nanoparticles at 0.0, 0.1, 0.2 and 0.5 weight % concentration using chemical precipitation method and termed as HAP0.0Ag, HAP0.1Ag, HAP0.2Ag and HAP0.5Ag respectively. As observed, the Fourier transform …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 300–314 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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AI-Driven DevSecOps Automation: An Intelligent Framework for Continuous Cloud Security and Regulatory Compliance
Abstract: Cloud-native systems, microservices, and infrastructure-as-code (IaC)–oriented CI/CD pipelines have accelerated the pace of software delivery, yet they have also introduced new layers of operational complexity and widened the overall security exposure of modern applications. Traditional DevSecOps workflows still depend heavily on isolated scanners, manual reviews, and static governance processes that are not well-suited for the elasticity and constant change characteristic of multi-cloud environments. To address these limitations, this paper introduces …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 01–15 Read article
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Sustainable High-Strength Geopolymer Composite Reinforced with Nano-Silica and Basalt Fibers: Mechanical and Microstructural Evaluation
Abstract: Sustainable soil composites (SSC) were formulated by incorporating red earth with varying proportions of bagasse ash (BA) and hydrated lime to enhance geotechnical performance and promote the reuse of agro-industrial waste. Red earth served as the primary structural matrix, BA functioned as a pozzolanic filler, and lime acted as a chemical stabilizer. BA content ranged from 0% to 60%, identifying 10% as the optimum level for significant improvement, and lime …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1113–1122 Read article
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A Quantitative Fuzzy MCDM Framework for Decision Support in Uncertain Environments
Abstract: Fuzzy mathematics play an increasingly generalized role in decision-making, and thus, this paper details different types of fuzzy mathematics and it signs other possible solutions in addition to fuzzy mathematics. Fuzzy models offer a versatile and precise approach to assessing complex situations through the use of fuzzy sets, membership functions, and aggregation methods. Through time, cost and quality, the project management case study illustrates how fuzzy logic works for them. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Next-Generation Lightweight Nanocomposite Structures for Electric Mobility
Abstract: The rapid expansion of the electric vehicle (EV) sector has intensified the demand for battery enclosures that are lightweight, mechanically strong, thermally stable, and environmentally sustainable. This research focuses on the design and sustainable fabrication of hybrid nanocomposites for advanced EV battery housings. The proposed material system integrates carbon fiber, glass fiber, and graphene nanoplatelets within a bio-based epoxy matrix, resulting in improved mechanical strength, enhanced thermal stability, and superior …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1147–1156 Read article
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Comparative Analysis of Different Mechanical Properties of Banana Pseudostem Fiber and Pineapple Leaf Fiber Reinforced Polymer Composite
Abstract: In this research, a hybrid natural fiber polymer composite is prepared using different combinations of banana pseudostem fiber and pineapple leaf fiber in a discontinuous reinforcement phase and epoxy polymer in a continuous matrix phase. For the preparation of the composite, the hand layup technique is used and important mechanical characteristics, namely tensile, flexural, and impact strength, are determined. The findings of this investigation represent that the highest values of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1248–1256 Read article
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Multi Objective Optimization of Aluminium (AA6061-SiC-Flyash) Metal Matrix Composites using TOPSIS Method
Abstract: Metal Matrix Composites (MMCs) have significant interest due to their superior mechanical properties, including improved strength, hardness, and fracture resistance. This study investigates the optimization of the mechanical and fracture behaviour of casted AA6061-SiC-Fly Ash (FA) MMCs using the TOPSIS method. Silicon carbide(SiC) and fly ash (FA) reinforcements, with different weight percentages of 5%, 10%, and 15% were fabricated through sand casting method. Total 10 combinations of composites are prepared …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 459–469 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites
Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The composites were produced with different fiber ratios: B1 (70% basalt, 30% kenaf), B2 (60% basalt, 40% kenaf), and B3 (50% basalt, 50% kenaf), and were reinforced with 1 wt.% green-synthesized nano-TiO2, obtained using an eco-friendly sol–gel technique with plant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1248–1262 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Comparative Analysis of Polymer-Enhanced and Conventional Magnetorheological Fluids in E-Bicycle Semi-Active Suspension
Abstract: In light of the increased use of electric bicycles as a sustainable transport means, various mechanical challenges emerge which were absent in traditional bicycles, primarily concerning vibration isolation and riding comfort. Indeed, hub motors, batteries and the entire drivetrain system produce dynamic excitations which passive suspension cannot handle effectively. This paper presents a comparison of conventional magnetorheological (MR) fluid and the polymer-based MR nanocomposite fluid within the context of semi-active …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Effect of Graphite and Titanium Dioxide on Mechanical Properties and Wear Behavior of Al based HMMCs
Abstract: Aluminium Metal Matrix Composites (MMC) is beneficial in a diversity of applications of engineering, particularly due to their strength while being lightweight. The intention of this paper is to develop a Hybrid Metal Matrix Composite (HMMC) using base metal aluminium alloy which is reinforced with different wt% of Graphite and Titanium Dioxide and then study the different mechanical properties like microstructure analysis, tensile strength, hardness, and wear behavior of HMMC …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 20–30 Read article
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An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Dosing Control of Urea in Selective Catalytic Reduction (SCR) to enhance the reduction of Nitrogen oxides
Abstract: Selective Catalytic Reduction (SCR) is an effective aftertreatment technique designed to comply with rigorous emission criteria established by global regulatory authorities for the elimination of nitrogen oxides from exhaust streams. Since NOx and ammonia reagents are poisonous and an excess of either is therefore very undesired, it poses an intriguing control problem, particularly at high conversion. SCR systems must reduce NOx emissions as much as possible and reduce the possibility …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 110–120 Read article
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Enhancing Delamination Resistance in CFRP Composites through surface Functionalization of Woven carbon Fiber by CuO Nanostructures
Abstract: In order to produce a nanostructured interphase that improves the interfacial interaction with an epoxy resin matrix, copper oxide (CuO) nanostructures were hydrothermally formed onto woven carbon fibers (WCF). Hexagonal CuO nanorods were created using a two-step, seed-assisted solvothermal technique on plain woven carbon fiber. This study investigates the effects of surface modification of carbon fibers by the formation of CuO nanostructures using a hydrothermal technique on the mechanical properties …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 589–602 Read article