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151 articles for “hybrid system”
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Thermodynamic Analysis of Hybrid-SOFC Gas Turbine Powered by Syngas from Municipal Solid Waste
Abstract: In this paper, the use of renewable energy sources with conventional energy systems is described in the context of a hybrid solid oxide fuel cell (SOFC) gas turbine system which is powered by syngas produced from the gasification of municipal solid waste (MSW). MSW deposits are increasing every day and their disposal measures are not completely effective in recycling them for various purposes in different forms. Here a gas turbine …
Published in International Journal of Mechanics and Design · Vol. 5, Issue 1, 2019 · pp. 51–59 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Systematic Review on Advances in Energy-Efficient RF Circuits and Sustainable Microwave Systems for Green MicrowaveEngineering
Abstract: The increasing global demand for sustainable technologies has catalyzed innovation in energy-efficient radio frequency (RF) and microwave systems. This paper explores the principles,methodologies, and advancements underpinning green microwave engineering, with a particularfocus on the design and optimization of energy-efficient RF circuits. A systematic literature reviewwas conducted, analyzing peer-reviewed publications, technical reports, and case studies to assesscurrent progress and identify persistent challenges. Key findings reveal that low-power circuitdesign techniques, multi-source energy …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article
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Systematic Review on Advances in Energy-Efficient RF Circuits and Sustainable Microwave Systems for Green MicrowaveEngineering
Abstract: The increasing global demand for sustainable technologies has catalyzed innovation in energy-efficient radio frequency (RF) and microwave systems. This paper explores the principles,methodologies, and advancements underpinning green microwave engineering, with a particularfocus on the design and optimization of energy-efficient RF circuits. A systematic literature reviewwas conducted, analyzing peer-reviewed publications, technical reports, and case studies to assesscurrent progress and identify persistent challenges. Key findings reveal that low-power circuitdesign techniques, multi-source energy …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article
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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Simulation, Analysis, and Stability Using Matlab of Photovoltaic Solar Power System
Abstract: ABSTRACTA worldwide installation of solar photovoltaic (PV) systems was observed. It is determined mostly through demand to "clean" power generation for future mixed power systems connected through large no. of power electronics converters, grid-based PV systems will be also a very active player. There have been stringent demands on the complete PV network (NW) to accomplish effective and efficient PV power generation. In return, it advances power converter technology development …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 2, 2019 · pp. 20–30 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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Advanced Membrane Technologies and Materials for Sustainable Industrial Separations: Alternatives to Energy-Intensive Distillation Processes
Abstract: Distillation is one of the most widely used separation processes in the chemical, petrochemical, pharmaceutical, and food industries; however, it is also among the most energy-intensive operations, accounting for a substantial portion of global industrial energy consumption. The increasing demand for sustainable manufacturing and reduced carbon emissions has driven significant interest in membrane-based separation technologies as alternatives or complements to conventional distillation. Advanced membrane processes, including Organic Solvent Nanofiltration (OSN), …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 · pp. 32–53 Read article
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Fire-Fighting Robot Autonomous and Manual Control via Bluetooth
Abstract: Abstract— With the appearance of technology, humans square measure replaced with robots in dangerous things. we tend to aim to style automaton capable of sleuthing and suppressing fires. by creating and deploying a manual and automated firefighting robot that can use water to identify and put out fires. In this study, we demonstrate both a manually operated and an autonomous robot that can go approach a fire and use water …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Innovations and Sustainability in Structural Engineering:Advanced Materials, Seismic Retrofitting, andComputational Analysis
Abstract: Abstract This paper explores the latest advancements in structural engineering, emphasizing sustainable practices, the development of advanced materials, and innovative computational techniques for structural analysis. Structural engineering, a fundamental discipline within civil engineering, is experiencing significant growth due to increasing environmental challenges, stricter building codes, and the need for more resilient infrastructure. To meet modern demands, advanced materials like high-performance concrete, fiber-reinforced polymers (FRPs), and shape memory alloys (SMAs) have …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 2, 2024 Read article
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Damage Mechanisms and Impact Behavior of
Fiber-Reinforced Polymer Composites: A Review
Abstract: Fiber-reinforced polymer (FRP) composites have gained widespread acceptance in aerospace, automotive, marine, civil, and military applications due to their high strength to weight ratio, corrosion resistance, and excellent mechanical performance in different-different scenarios. However, their susceptibility to impact loading remains a critical concern, as impact events can induce complex damage mechanisms that significantly degrade structural integrity and residual mechanical properties. This study summarizes current knowledge on the impact behavior of …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 · pp. 1–15 Read article
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Mechanical and Thermal Characterization of Natural Fiber-Reinforced Epoxy Composites for Structural Applications
Abstract: Natural fiber reinforced polymer (NFRP) composites have emerged as promising alternatives to conventional synthetic fiber composites owing to their environmental sustainability, low density, and competitive specific mechanical properties. However, a comprehensive and simultaneous evaluation of both mechanical and thermal performance of jute/sisal hybrid natural fiber epoxy composites under systematic fiber treatment conditions remains insufficiently addressed in the literature. The present study investigates the mechanical and thermal characterization of jute and …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 37–48 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Using Hybrid Method of PSO and Firefly Techniques for ELD
Abstract: This project presented an effective and reliable FFA technique for the economic load dispatch (ELD) problem using the PSO technique. The final results obtained that is, Hybrid algorithm (using PSO and Firefly algorithm) are compared with PSO and Firefly and found to be encouraging. This Hybrid algorithm is applied to find out the minimum cost for different power demands. With the compared results, we obtain that Hybrid algorithm displayed better …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 6–20 Read article
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Comprehensive Review on Bamboo-Based CompositeMaterials for Sustainable Engineering Applications
Abstract: Among various natural resources, bamboo has emerged as a promising reinforcement material due to its rapid growth rate, wide availability, low cost, and excellent specific mechanical properties. Bamboobased composite materials combine high strength-to-weight ratio with renewability, making them attractive for diverse engineering applications. The increasing concerns related to resource depletion, carbon emissions, and end-of-life disposal of synthetic composites further highlight the need for biobased and sustainable material solutions. This review …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Blackout Prevention Methodologies: A Burning Topic of Research
Abstract: Black out means complete shutdown of electrical network due to some circumstances. A large scale power failure or power outage for a certain amount of time happens due to blackout. Black out is a huge threat for power system engineers since it cause huge obstacle and financial losses in human life and utilities. So, blackout must be prevented for the welfare of human and society. Therefore, black out prevention methodologies …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 7, Issue 2, 2021 · pp. 13–19 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article