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197 articles for “Proposed model”
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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article
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A Survey on Propagation Models, Routing Protocol Models and Mobility Models of Wireless Networks
Abstract: In this paper, authors have provided a detailed categorization of various propagation model, different routing and mobility techniques currently used in wireless networks. This paper presents different propagation models, their path loss behavior and propagation techniques. Different routing techniques with distinguishing feature have been proposed, where numbers of parameters are selected for comparison to suggest which protocol may perform best in different wireless networks. Finally, highlighting operation and analysis of …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 1, 2018 · pp. 12–24 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Advanced Modeling Approaches for Assessing Human Health Impacts of Environmental Changes
Abstract: This study sheds light on the far-reaching and complex effects of environmental changes on human health and livelihood. It identifies significant associations between pollutants, such as PM2.5 and NO2 with chronic respiratory and cardiovascular diseases and mental health disorders like anxiety and depression. Such findings underscore the urgent need for efforts to rectify socio-economic repercussions of changes in the environment, including workforce displacement, migration, and fragmentation of social structures. It …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 95–103 Read article
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Privacy Policy Summarization and Detection of Unfair Clauses
Abstract: ABSTRACTLess than 1% of all users read the privacy policies (or terms and conditions) that accompany software products. This can be attributed to their low level of readability, length, and complexity. Hence, this allows corporations to sneak in clauses which may compromise a user’s privacy, allowing them to use their data for monetary benefit. For example, corporations may sell user data to third parties for targeted advertising. To tackle this, …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 35–41 Read article
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Deep Learning to Detect Pneumonia from Chest X-Ray Image
Abstract: Pneumonia is an acute pulmonary infection that is caused by viruses or by bacteria and it causes inflammation in the lungs. In 2019, a total of 2.5 million people died because of pneumonia, out of which, one third were younger than the age of 5. This infection was diagnosed by taking a chest Xray. The prediction of diseases is mainly based on human knowledge. In this, the probability of human …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 8–14 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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Digital Archives and Metadata Standards for Architectural Heritage: A Comparative Review
Abstract: Architectural heritage – including historic buildings, monuments, landscapes, and traditional urban fabric – constitutes a vital repository of cultural, aesthetic, and scientific values. Digital archiving such heritage is increasingly necessary for preservation, research, documentation, education, and public engagement. However, the effectiveness of digital archives depends vitally on the metadata standards used: the structure, semantics, interoperability, and preservation of metadata can enable or hinder access, reuse, long‐term sustainability, and meaningful comparisons …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 7–13 Read article
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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications
Abstract: The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 38–50 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Design and Finite Element Analysis of Go-Kart Tubular Chassis Using Ansys
Abstract: The design of a go-kart chassis involves the vehicle’s performance, safety, and handling characteristics. The present work focuses on the conceptual design, modeling, and structural analysis of a go-kart chassis aimed at achieving an optimal balance between strength, weight, and driver comfort using FEA software ANSYS. A detailed chassis model was developed based on ergonomic considerations and racing standards. The design was evaluated through an FEM approach to assess stress …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 56–64 Read article
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Optimization and Analysis of Pulsation Dampener
Abstract: This paper presents a new method for generating computer-aided models and analysis of pulsation dampeners used in fluid power systems to reduce vibration. Pulsation dampeners are widely used in different energy systems to measure the backlash that is driven by power pumps. The vibrations caused by the power pumps in the water system can be strong enough to cause structural damage to the pipes if the pulsation dampener is not …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 1, 2020 · pp. 53–56 Read article
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Thermal Dynamics and Kinetic Modelling of Cryogenic Fuels in Aerospace and IndustrialApplications
Abstract: Cryogenic fuels are critical for high-speed aerospace and industrial applications, where efficient handling, storage, and usage are paramount for performance and safety. This study explores the thermal dynamics and kinetic modeling of cryogenic fuels, focusing on liquid handling systems and propellant technologies. Utilizing computational fluid dynamics (CFD) analysis, the research evaluates the behavior of cryogenic liquids within insulated vessels under extreme temperature conditions, identifying key parameters that influence thermal stability …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 2, 2024 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Optimal Location of Static Var Compensator Using DE Algorithm
Abstract: This paper discusses on the optimal location of Static Var Compensator (SVC) using Differential evolution (DE) algorithm. FACTS devices are employed to improve the power transfer capability and voltage profile in power system networks. Here, the optimal location to place an SVC is identified depending on the power flow, voltage profile and transmission losses. The ability of SVC to improve voltage profile and reduce losses is also analysed. SVC is …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 1–8 Read article
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Power Quality Enhancement in a Distribution Network using allocation of D-STATCOM
Abstract: Modern power clients are getting truly caring with respect to the norm of the power, that will be conveyed to it. Speedy enhancements in current time are upgrading the office quality concerns. As we realize that with time not just the interest of amount of force has expanded yet in addition the nature of the force is worried by customers and the utilities, and the explanation being the rising necessity …
Published in International Journal of Electrical Power System and Technology · Vol. 7, Issue 1, 2021 · pp. 34–42 Read article
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Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model
Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article
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A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article