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166 articles for “features specifications”
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Optimal Homotopy Analysis Method (OHAM) For the Approximate Series Solution of Non-linear Partial Differential Equation
Abstract: In this article, we have used the Optimal Homotopy Analysis Method (OHAM), which is a basically semi-analytic method to solve differential equations. The ability for the user to choose the convergence control parameter, auxiliary linear operator, auxiliary function, and starting approximation is what sets apart the OHAM technique. We guaranteed the efficacy and efficiency of the procedure by fine-tuning the convergence control parameter. We solved a non-linear partial differential equation …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 Read article
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Automated System for Attendance Tracking and Management Using Face Recognition
Abstract: A camera is used by an attendance tracking system that uses facial recognition to snap photos of people. After that, a computer program analyzes these images and uses facial feature analysis to identify specific individuals. Subsequently, the system can ascertain whether or not the identified individuals are present, by comparing the identified individuals to a database that already has information about known individuals. This technology can be used to expedite …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Price Comparison with Sentimental Analysis
Abstract: The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer's busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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Oral Thin Films of Ondanetron Hcl: Formulation and Performance Evaluation
Abstract: This study had the goal to formulate oral polymeric thin film that would dissolve and disintegrate instantly, while also having high mechanical features. These are the most advanced forms of solid dosage forms. Solvent casting was the technique employed to create oral thin films. These are additionally referred to as buccal films/strip, mouth dissolving films, oral thin films, as well as oral strips of paper. These films are suitable for …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Optimizing Solar Panel Efficiency with Machine Learning-Powered Cleaning Robots
Abstract: Because of advancements in technology, scientists are focusing more on robots to make human existence better. IEEE Standard 1621, IEEE Standard for User Interface Elements in Power Control of Electronic Devices Employed in Office/Consumer Environments, is being used in this work to create a solar floor cleaning robot prototype through design and development. The subject robot can function in both autonomous and manual modes, in addition to other features including …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 14–19 Read article
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Antenna Positioning Unit for Defence Vehicles
Abstract: This paper introduces an advanced antenna positioning system specifically engineered for defense vehicle applications, featuring Azimuth angle rotation and Elevation angle rotation. The system, designed for precision and adaptability, achieves remarkable accuracy. Noteworthy is its immunity to magnetic field interference, ensuring unwavering reliability in electromagnetic-intensive defence environments. The system's substantial weight-bearing capacity, coupled with precise control, makes it an ideal solution for defense vehicles necessitating advanced communication and surveillance capabilities. …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 38–46 Read article
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Implementation of website for Hind Enterprises Product: A Literature Review on Electronics perspectives, trends, and future directions
Abstract: The aim of Hind Enterprises’ product website is to develop a user friendly and informative online platform. That shows a diverse range of products. This website will serve as a comprehensive resource for manufacturing, business and individuals seeking information about machinery offering, specification and uses. The website will feature an intuitive and visually appealing design, ensuring seamless navigation for users. One primary goal of the project is to create a …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Avian Echoes: Convolutional Neural Network for Bird Vocalization Detection
Abstract: Bird species identification is a complex task within ornithology that demands advanced technological solutions. This research presents an approach leveraging Convolutional Neural Networks (CNNs) for bird species recognition based on identification of bird sound, each employing unique datasets and methodologies. The objective involves a two-stage identification process, beginning with the construction of an ideal dataset. The crucial step involves converting 1D audio waveforms to 2D spectrograms, enhancing CNNs' ability to …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–37 Read article
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CakeMeUp App: an E-commerce Solution for a Cake Shop
Abstract: This study introduces CakeMeUp, an innovative Flutter and Firebase-based e-commerce app for cake shop, offering sleek UI, real-time order tracking, secure payments, and cake customization. Integrating RazorPay and ikChatbot enhances functionality. It tackles e-commerce challenges, delivering a scalable platform for seamless online cake ordering. Implementation details, advantages, and key features are explored. CakeMeUp addresses common challenges faced in the e-commerce space by delivering a robust and scalable platform tailored for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 24–32 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Image Enhancement Techniques for Digital Images
Abstract: In image processing, image enhancement is a challenging problem. Image enhancement aims to process an image in a way that makes the final product better suited for a particular application than the original. There are numerous ways to improve the quality of images using digital image enhancement techniques. It is crucial to use these techniques correctly. Image enhancement is a critical aspect of image processing, focusing on improving the visual …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 14–18 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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A Comprehensive Analysis of Various Payment Gateways for Web-based Food Ordering
Abstract: The digital revolution has ushered in profound transformations across industries, and the online food sector stands at the forefront of this evolution. With consumers increasingly prioritizing convenience and accessibility, the online food industry has witnessed unprecedented growth. In this dynamic landscape, payment gateways have emerged as indispensable components, facilitating seamless transactions and driving operational efficiency for online food restaurant websites. This research article endeavors to conduct a comprehensive analysis of …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article