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90 articles for “hybrid methodology”
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article
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Multispectral Image Denoising using Bi-Directional Recurrent Neural Network with DPCA Algorithm
Abstract: In practices, a Multispectral Images (MSI) image is always prone to corruption by various sources of noises while procuring the images. In this paper we implemented Decomposable Pixel Component Analysis (DPCA) algorithm with recurrent neural network (RNN) which effectively denoised the MSI images. The RNN enables shrinkage of non-reusable data points during DPCA execution and aid it to effectively transform spatial coordinate in a logical manner and reduces the time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 25–30 Read article
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Risk Assessment in Hybrid Cloud: A Systematic Research Methodology
Abstract: AbstractNow a days, Cloud computing has drawn a great attention towards the users of cloud as a tremendous result of its advantages. The latest prototype of computing infrastructure is cloud computing. It provides its services to different sectors of society like education, banking, research, governance, risk identification etc. This research focuses on overview of risk identification and governance withmultiple frameworks and standards available in hybrid cloud computing. This research work …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 19–22 Read article
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Impact of Self-Help Groups (SHGs) on Sustainable Livelihood Development in Rural Uttarakhand: A Study on the Influence of DAY-NRLM in Income Generation and Community Empowerment
Abstract: Self-Help Groups (SHGs) have emerged as a vital mechanism for fostering sustainable livelihoods in Uttarakhand, a region challenged by poverty, migration, and unemployment. This study examines the role of SHGs in expanding livelihood programs and empowering members, particularly in income generation, while highlighting the importance of group-based approaches for vulnerable communities like small farmers and craftsmen. Data collection for the study involved a questionnaire targeting 288 respondents across 100 SHGs …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 46–54 Read article
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Optimization of Surface Roughness in Cylindrical Traverse Cut Grinding of Glass Fibre Reinforced Epoxy Composite
Abstract: Glass fibre reinforced plastic materials are increasingly used in many engineering applications. Making these materials with high level of dimensional accuracy and fine finish has increased enormously. Present work is planned to investigate the effects of grinding parameters infeed, longitudinal feed and work speed on surface roughness in traverse cut cylindrical grinding of glass fibre reinforced epoxy composite. Box-Behnken experimental design has been used to conduct the experimental runs. Analysis …
Published in Journal of Production Research & Management · Vol. 10, Issue 3, 2020 · pp. 27–33 Read article
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Strategies in Hybrid Evolutionary Algorithms for Optimization
Abstract: AbstractEvolutionary computing has grown to be a significant methodology in the field of research. Robustness and adaptation are some of the prime features of evolutionary algorithms as compared to other global optimization techniques. Even though evolutionary computation is popularly used for solving several important practical problems in engineering, business, commerce, etc., there is scope for fine-tuning its performance. It is not easy to find any one best algorithm for solving …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 3, 2017 · pp. 29–32 Read article
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Optimization of Hybrid Precoding in Massive MIMO using Kalman’s Algorithm
Abstract: The ever-growing demand in the market for the high data rate and high spectral efficiency increases the need to use the available band ofspectrum more efficiently. The future is dependent on using the frequency bands more efficiently. The most recent and trending 5G technologyuses the mm Wave band for its transmission. This band in the 60 GHz frequency uses MIMO systems along with many other leadingtechnologies or methodologies like hybrid …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 7–19 Read article
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Polymer Nanocomposites and Functional Materials for Lithium-Ion Battery Supercapacitor Hybrid Energy Storage Systems: Materials, Interfaces, and Performance Perspectives
Abstract: The growing need for high-performance energy storage solutions in electric vehicles, renewable energy applications, portable electronics, and other sectors has accelerated research and development efforts in Lithium-Ion Battery–Supercapacitor Hybrid Energy Storage Systems (HESS). By combining the high energy density of lithium-ion batteries with the high power density and fast charge/discharge characteristics of supercapacitors, HESS offers a promising approach to meeting diverse energy storage requirements. Nevertheless, several critical challenges remain that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 96–113 Read article
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A Comparative Study on Formaldehyde Detection Capabilities in Pristine Graphene and Ag-doped Graphene Sheet
Abstract: The present work concerns a detailed investigation of the enhanced formaldehyde (also known as methanal) detection by decorating the pristine (or bare) graphene nanosheet with silver (Ag) nano-particle (or foreign Ag atom). The bare graphene sheet was exposed to the formaldehyde vapor forming the formaldehyde-adsorbed pristine graphene sheet (taken as Case-I), and whose results were studied and compared with the outcomes obtained from the formaldehyde-adsorbed Ag-decorated graphene sheet (taken as …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 801–809 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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A Carbon Assessment Framework for the Estimation of Carbon Footprint by the Usage of Liquified Petroleum Gas
Abstract: Various higher educational universities around the globe have tried to compensate for their carbon footprints, and awareness of ecology and environmental responsibility have increased. The primary motive of this work is to provide a recent study about the carbon emission accounting of carbon emission in higher education and enhance the mitigation techniques. Carbon footprint can be measured by using various methodologies like input-output analysis, hybrid models, and life cycle assessments …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 1–5 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 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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BATTERY/SUPERCAPACITOR HYBRID SYSTEM FOR ELECTRIC VEHICLES
Abstract: The paper is focused to the design and development of a new hybrid system to power electric vehicles. The system is made up of a conventional lithium battery that is used to propel the vehicle when there is no acceleration or the acceleration and power demand are low or moderate, and a supercapacitor that powers the electric vehicle at high power demand periods or when the acceleration is relevant. The …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 20–42 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Machining-Induced Surface Integrity Optimization of High-Carbon Alloy Steel for Enhanced Polymer–Metal Composite Interface Performance
Abstract: The functional performance and structural reliability of polymer–metal hybrid composites are strongly influenced by the surface integrity of metallic substrates used for interfacial bonding and load transfer. In this context, machining-induced surface characteristics play a critical role in determining adhesion behavior, dimensional stability, and mechanical compatibility within composite architectures. The present study investigates the hard turning performance of a newly developed high-carbon alloy steel intended for composite-integrated structural applications, with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1531–1546 Read article
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Hybridization of Photovoltaic Panels and Thermoelectric Generators: Energy Efficiency Improvement
Abstract: Heat removal from PV panels has been revealed as a feasible and operational solution to reduce the temperature of the panel and increase energy efficiency. In this paper, the use of a thermoelectric generator (TEG) attached to the photovoltaic panel is proposed. A set of Peltier cells has been designed, built, and coupled to the rear side of a PV panel to remove the heat flow generated at the PV …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 3, 2022 · pp. 29–46 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article