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911 articles for “Integrated modeling”
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Experimental Analysis and Design Proposal of Banana Fiber Reinforced Polymer Composites and Computer Analysis
Abstract: This study presents a comprehensive experimental investigation and design model development using banana fiber reinforced polymer (BFRP) composites. The primary aim is to evaluate the mechanical and physical performance of the composite, with particular emphasis on tensile strength, flexural strength, and water absorption characteristics. These properties are critical for applications in industries such as transportation and construction, where durability, lightweight materials, and cost-effectiveness are essential. Banana fibers, being natural, renewable, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 901–907 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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Feasibility Analysis of Wireless Power Transfer Technologies for Electric Vehicle Charging Applications
Abstract: The rapid pace of electric vehicles (EVs) has heightened the pressure on the need to have flexible, safe, and efficient infrastructures in addition to the plug-in infrastructures. The Wireless Power Transfer (WPT) has become a promising alternative that provides automated charging, better convenience, and a possible integration into the smart highways and urban environment. The present paper provides a feasibility study of the key WPT technologies in EV charging namely, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 27–38 Read article
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Design and Analysis of Honeycomb Rear Door Map Pocket by Application of Finite Element Method
Abstract: In modern automobiles, the door trim plays a vital role in both functionality and occupant safety. It integrates various convenience features such as armrests, power window switches, and map pockets, while also contributing to crash energy absorption during side impacts. In such collisions, the occupant's body typically contacts the door trim, making its design and material selection critical for minimizing injury through controlled deformation and energy dissipation. This research focuses …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 940–951 Read article
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Automatic Coffee Making Machine Using Verilog HDL
Abstract: This Paper focuses on the design and implementation of a Coffee Machine using Verilog, aimed at understanding how real-life machines can be controlled using digital logic. In daily life, a coffee machine works by taking user inputs, processing them, and giving the required output such as preparing coffee. The main objective of this project is to design a simple digital system that controls the basic working of a coffee machine. …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 18–24 Read article
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Automated Healthcare Support System with AI
Abstract: The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services. The system is designed to provide preliminary medical guidance, perform symptom-based analysis, and deliver health-related insights through an intuitive user interface. By enabling early identification of potential health conditions, it assists users in determining the necessity of professional medical consultation. The proposed platform utilizes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Cyclist Safety Enhancement: A Multi-Modal Hazard Detection System
Abstract: This study presents a multi-modal hazard detection system to enhance cyclist safety in urban environments. Lever- aging a combination of computer vision, object tracking, and predictive modeling, the system offers a comprehensive approach to identifying and mitigating potential risks. Key contributions include improved depth estimation through object size priors, multi-class tracking utilizing KCF and Brisk, and a novel recurrent neural network architecture for predicting bicycle movement. The system’s collision detection …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 35–83 Read article
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Review on Automatic Irrigation System
Abstract: The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Network Security and Risk Technologies
Abstract: This research work delves into the dynamic domain of network security risk, providing a comprehensive analysis of corruption of data. The study explores strategic models aimed at strengthening network defenses in response to the continually changing threat environment. In the past, network security has relied on various technologies to mitigate risks, which include Firewalls, Virtual Private Networks (VPNs) and Encryption Protocols. The research scrutinizes the role of technologies such as …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 26–34 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article
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Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 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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Modelling and Performance Evaluation of a Multiport Converter for Active Balancing of Lithium- ion Battery Cells
Abstract: In this paper, a flexible multiport DC-DC converter-based active cell balancing technique for Li-ion battery packs is presented. Cell balancing plays an important role in terms of safety, capacity utilization, and battery lifespan. For Li-ion cells in series configuration, the difference in voltages and states of charge (SOCs) leads to imbalance issues which might negatively affect their performance and shorten their lifespan. To solve these problems, the proposed technique utilizes …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Energy-efficient HVAC System with Decision Tree Classifier and Real-time SMS Notification
Abstract: This research paper explores the design and implementation of an energy-efficient heating, ventilation, and air conditioning (HVAC) system aimed at optimizing energy consumption and enhancing operational efficiency. The system incorporates high-efficiency components, including axial flow fans, motors, and intelligent variable frequency drives, achieving an overall system efficiency of up to 85%. By utilizing both static and dynamic pressures, the HVAC system operates more effectively under varying conditions compared to traditional …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 29–34 Read article
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Multimedia Technology in Healthcare: A Study
Abstract: The integration of multimedia technology is fundamentally transforming medical and surgical planning, moving beyond traditional methods to offer enhanced visualization, collaboration, and precision. This article explores the diverse applications of multimedia, including advanced imaging techniques, interactive simulations, and augmented/virtual reality, in optimizing pre-operative strategies, improving surgical outcomes, and enhancing medical education. By providing comprehensive overview, this analysis highlights the potential of multimedia technology to revolutionize the future of healthcare. For …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article