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227 articles for “Hybrid Approach”
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A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants
Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 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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Study of Energy Efficiency in IoT Devices
Abstract: The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, yet its growth presents significant energy efficiency challenges. This paper explores strategies to address these challenges by investigating energy harvesting techniques and low-power communication protocols. Energy harvesting methods, including solar, kinetic, and thermal energy, offer sustainable alternatives to traditional battery-powered IoT devices, reducing dependency on non-renewable resources and enabling longer operational lifetimes. Simultaneously, low-power …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 34–40 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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Design and Computational Analysis of Hybrid Carbon Fiber-Enhanced Metal Matrix Composite Spur Gears
Abstract: The automobile industry has to find the alternative solution for steel grade gears to overcome the weight to high strength ratio and thermal consideration with high damping properties. This study describes the design, FEM analysis, and performance evaluation of three new hybrid composite spur gears: a monolithic carbon fiber/epoxy (80/20 weight percent) composite (A), and two hybrids with steel (B) and aluminum (C) matrices (64% CF, 21% Epoxy, 15% metal). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 158–172 Read article
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Human-in-the-Loop AI in HR Decision-Making: Insights from Big 4 AI Governance Reports
Abstract: The integration of artificial intelligence (AI) in human resource (HR) decision-making has transformed recruitment, performance evaluations, and talent management. However, biases embedded in AI-driven HR systems present significant ethical and operational challenges. Human-in-the-Loop (HITL) AI offers a hybrid approach that combines AI efficiency with human oversight to enhance fairness and accountability. This paper systematically analyses HITL AI in HR decision-making using qualitative analysis of AI governance reports from Big 4 …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 43–50 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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Review on Severe Plastic Deformation Techniques for Bulk Materials: Deformation Behavior and Properties
Abstract: This paper presents a detailed review of the efficient application of Severe Plastic Deformation for the fabrication of ultra-fine-grained and nanostructured crystalline bulk materials. Severe Plastic Deformation allows substantial grain refinement while largely preserving the original dimensions of the workpiece, making it especially suitable for ductile materials capable of sustaining very high strains under elevated hydrostatic pressure prior to failure. The study investigates the grain refinement mechanisms involved in Severe …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 40–72 Read article
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Hybrid Numerical–Artificial Neural Network Study of Chemically Reactive MHD Nanofluid Flow Incorporating Thompson–Troian Slip and Stefan Blowing
Abstract: Boundary layer behaviour in chemically reactive nanoliquid is significantly affected by surface conditions, magnetic fields, heat and mas transfer mechanisms. However, the combined impact of Stefan blowing and nonlinear Thompson–Troian slip under inclined magnetic fields remains mostly unexplored, particularly in mixed convection flows. In this research work, the flow of a chemically reactive nanoliquid over a permeable surface is investigated by considering the Troian slip, inclined magnetic fields, Stefan blowing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 409–425 Read article
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Mechanical Performance Assessment of Hybrid FRP Laminates with Carbon Fiber Core Using Experimental and Numerical Approaches
Abstract: The high strength-to-weight ratio, corrosion resistance and design flexibility of Fiber-reinforced polymer (FRP) composites have attracted considerable attention in aerospace, automotive and structural applications. This work presents an experimental and finite element study on the tensile and flexural behavior of epoxy-based hybrid FRP laminates. Five laminate configurations were manufactured, including a unidirectional carbon fiber laminate and four hybrid laminates, Kevlar–Carbon–Kevlar (K/C/K), Glass–Carbon–Glass (G/C/G), Kevlar–Carbon–Glass (K/C/G), and Glass–Carbon–Kevlar (G/C/K). For all …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimum Machining Parameters for Al 7075 Hybrid Metal Matrix Composites Using Multi-objective Optimization Technique and the Modified Taguchi Approach
Abstract: Lightweight composite materials with improved mechanical properties are widely used in industries. There is a need to obtain optimum machining parameters of such hybrid composites. This paper uses reliable multi-objective optimization technique and modified Taguchi approach to determine optimal machining parameters such as speed (NS) varying from 1000 rpm to 1500 rpm, feed rate (FR) from 0.10 mm/rev to 0.20 mm/rev, depth-of-cut (DC) varied from 0.5 mm to 1.5 mm …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 269–278 Read article
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Axial Compression Behavior of Aluminum (Al), Glass/Epoxy (GFRP) and Hybrid Al-GFRP Crash-box: An Experimental and Digital Image Correlation Approach
Abstract: The study aims to understand the axial compression characteristics and fracture of cylindrical Aluminum (Al), Glass/epoxy (GFRP) composite and Hybrid Al-GFRP crash-boxes. The hollow Al tubes are fabricated by rolling and bonding a thin aluminum sheet followed by rivet joints. The GFRP samples are manufactured using the wet-hand layup technique followed by the vacuum bagging method. Hybrid samples are manufactured by covering GFRP tubes with aluminum sheets on the outer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 304–313 Read article
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Heterosis in Plants
Abstract: It refers to hybrid vigor or heterosis; herein, the offspring expressed better traits than one or both parent lines. This most often manifests in crop breeding as increased yield in F1 hybrids compared with their parents. Developing high-yielding hybrid cultivars across a wider range of crops represents an important strategy for addressing future food security. However, conventional hybrid breeding approaches are fraught with significant challenges in many self-pollinating crops, such …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 21–31 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article