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49 articles for “card networks”
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E-commerce Payment Processing with Real-time Account Updater
Abstract: Returning shoppers on an ecommerce website sometimes does not maintain the latest card information like updating the expired credit card, removing the closed credit card and updating it with a new card. This results in failed transactions leading to poor user experience and resulting in abandonment of the shopping cart. To solve this issue, popular payment processors provide a solution called Real-time account updater; this feature helps to keep customer …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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The Impact of High-speed Networks on HFT Performance
Abstract: This study provides an in-depth examination of the critical role that high-speed networks play in the operations of high-frequency trading (HFT) firms. High-speed networks, characterized by their low latency and high bandwidth, facilitate the rapid, efficient transmission of massive quantities of data, a capability that is vital to the success of HFT strategies. We explore the core infrastructure that enables high-speed trading, from high-performance servers and switches to network interface …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 1–8 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Design And Implementation Of Energy Meter Intrusion Detection And Power Management System
Abstract: Electricity meter bypass is becoming more frequent and pervasive leading to Loss of Revenue (LOR) in electricity sector. Technology has advanced to the point where a gadget that calculates and measures changes in the environment can now detect motion. A network SIM card connected to a GSM module controlled by an ATmega8 microprocessor, is used in the design and construction of this project. In this framework, an LDR sensor is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 28–42 Read article
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IoT-Enabled Authentic Ration and Material Distribution Systems
Abstract: A home Ration Certificate is an essential item. The largest retailer system in India is Public Distribution System (PDS). A ration card is provided by the public distribution network, which is run by the state administration. All people have ration cards for purchasing essential consumers material like wheat, rice, kerosene, and oil. The present ration distribution system has many problems such as authentication problems, waste of time in queues, lots …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 26–34 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Ground Protection from Rain Using PIC Microcontroller
Abstract: AbstractIn this paper, the author has designed a system which senses the rain water through sensor. The system uses rain water sensor, transformer, controlling card, buzzer, relays, two movable flaps and LED. The moment it starts raining, the buzzer turns ON automatically, the ground is covered, and lights will also switch ON. As soon as the rain stops, the switch is pressed for uncovering the ground. Technological enhancement enrich the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 16–17 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
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Accompanied between the Solar Panel and the Power Mains for Different Loads
Abstract: AbstractToday, with rising fuel costs, expanding worries for worldwide environmental change, and a developing overall interest for power, using inexhaustible sources, for example, sun-based power progresses toward becoming a need instead of an extravagance. The primary spotlight is on giving vitality at the sensible cost; yet, soon the day will come when the utilities will concentrate on including manageable use and natural improvement into their plans. In contrast to ordinary …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 3, 2019 · pp. 37–46 Read article
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Heart Disease Diagnosis Using Artificial Neural Networks
Abstract: AbstractCoronary illness is a term covering any defect of the heart. In contrast to cardiovascular problem, which portrays issues with the veins and circulatory framework just as the heart, coronary illness alludes to issues and deformations in the heart itself. As indicated by the Centers for Disease Control (CDC), coronary illness is the main source of death in the United Kingdom, United States, Canada, and Australia. One of four passing’s …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 32–36 Read article
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Cloud-Based Smart IoT Integrated Rail Ticketing System
Abstract: Recovery of Missing Ticket is the main idea for planning this development. I've come to this level. Various things include reports on Railway facts Tickets Fare. The project provided installation for the provision of duplicate tickets at the nearest possible time. To receive a double card, the client must go to the Booking Counter to receive the voucher. Evidence of identity and operation must be given to the client. I …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 25–30 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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Driver Alertness Detection Using Data Correlation
Abstract: AbstractThe number of accidents taking place across the globe is increasing at a fast pace and it's astonishing that around 20% accidents occur due to driver’s fatigue or due to lack of alertness. Non-alertness reduces reaction time and concentration, impairing the ability to execute decision making as well as attention-based activities. Being an aware and responsible citizen, it becomes essential to assure the driver’s vigilance and safety of passengers, co-passengers. …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 6–15 Read article
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Fake User Identification and Duplication Detection Using Aadhaar Card
Abstract: Various universities are facing several issues concerning students' fake enrollment, duplication, and authentication of student details. Here we are providing solutions to improve student enrollment process for various exams by using convolutional neural networks (CNN) and OpenCV (Open-Source Computer Vision Library). A solution to the existing system must be versatile and precise. If the project aims to be used for large-scale deployments, then it must be adaptable and accurate in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 13–19 Read article
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Pattern Extraction and Classification of ECG Signals using Neuro-Fuzzy Techniques
Abstract: Electrocardiography is a technique which provides the interpretation of the electrical activity of the heart over a period of time. The condition of cardiac health is given by Electrocardiogram (ECG) and heart rate. This paper represents the techniques, which extracts features from the ECG signals and classify them. ECG signal were taken from preselected data segment of the MIT‐BIH Arrhythmia Database. Pattern extraction provides the PQRST-wave values, heart rate and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article