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43 articles for “transaction analysis”
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A Secure Approach for Cross-chain Transactions Using Machine Learning Model
Abstract: The ability to conduct transactions or transfer assets between different blockchain networks is referred to as cross-chain transactions. It enables users to transfer assets from one blockchain network to another. In the Cryptocurrency ecosystem, the risk of fraudulent activities has become a significant concern. Due to these fraudulent activities, the cross-chain transactions have encountered challenges in terms of security and integrity. The need for robust fraud detection mechanisms becomes crucial …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 17–24 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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A Scientometric Study on IEEE/ASME Transactions on Mechatronics
Abstract: This paper presents the Scientometric analysis of the journal IEEE Transactions on Mechatronics between the period 2008 and 2012. This study mainly covers the authorship pattern, number of articles, citations and the number of pages. The present study has been taken to know the nature and contents of articles in the journal IEEE Transactions on Mechatronics. The journal has published 508 articles during the study period. The maximum number of …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 1–5 Read article
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Secure based Financial Transactions in Banks using Community Cloud
Abstract: Cloud computing is one of the option knowledge for the banking Institutions with its vibrant scalability and handling of virtualized hardware assets as a tune-up through the Internet. It is a first-rate substitute for banking institutions to maneuver their information systems effectively. Banks can take benefit of existing cloud-based applications accessible by service providers and facilitate their own clientele to act upon different financial transactions. This paper is an analysis …
Published in E-Commerce for Future & Trends · Vol. 1, Issue 1, 2014 · pp. 15–20 Read article
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Study on the Failures of Raw Water Tower Structural Joints When the Air Gap of the Jack up Rigs is Increased
Abstract: 1. ABS Rules for Building and Classing Offshore Installations.2. Guidelines for Site Specific Assessment of Mobile Jack-up Units. SNAME T&R 5-5A.3. ABS. RP-2A, WSD, Recommended Practice for Planning, Designing and Constructing Fixed Offshore Platforms- Working Stress Design. 21st Edn. Dec 2000; Suppl 1–3.4. Ohta T, Yamauchi H, Toriumi M. Design Method of Leg Structure of Jack-up Rigs. NKK Corporation, Engineering Research Centre, Kawasaki, Japan. 1st International Offshore and Polar Engineering …
Published in Journal of Offshore Structure and Technology · Vol. 6, Issue 1, 2019 · pp. 39–48 Read article
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IEEE/ACM Transactions on Networking: A Bibliometric Study
Abstract: This study analyzes the bibliometric characteristics of the journal “IEEE/ACM Transactions on Networking” published by IEEE Networking Society during 2012–2016. Data were collected from the online archives. The study focuses on year wise publication pattern of articles, reference pattern, authorship pattern, degree of collaboration, citation analysis, geographical distribution of papers etc. The study reveals that most of the papers are multiauthored and authors from United States contributed the most. Keywords: …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 1, 2017 · pp. 22–28 Read article
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Analysis of Market Growth of Digital Payment Tools in India with Special Reference to UPI
Abstract: Digital transaction provides a transparent and easy way for customers; this new paradigm of financial transactions leads to an increment in the trust of customers. The Indian retail market has completely shifted to the Unified Payment Interface (UPI) for digital payment transactions. The Internet and Mobile Association of India report forecasts that the number will reach 900 million by 2025. Digital transactions facilitate numerous benefits over cash transactions, including convenience, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 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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A Machine Learning Approach to Personalized Movie Recommendations Using Content-based Filtering, Web Scraping and NLP Based Sentiment Analysis
Abstract: This research work presents an improved approach for movie recommendation using content-based filtering and cosine similarity. The proposed system considers the movies' content information and genre during item similarity calculations to recommend a top 10 list of similar movies based on user preferences. Data for the movies, including title, genre, runtime, rating, and cast, is obtained from the TMDB website using an API key, while reviews are web-scraped from the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 19–29 Read article
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A Survey on Datamining Techniques and its Uses on Real-Time Applications
Abstract: AbstractData mining is one of the area gaining lot of sensible significance and is progressing at a brisk pace with new methods, methodologies and findings in diverse packages associated with remedy, computer science, bioinformatics and stock market prediction, climate forecast, textual content, audio and video processing to name a few. Data occurs to be the key difficulty in statistics mining. With the massive online facts generated from several sensors, Internet …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 12–17 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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A Study on Behavioral Economic Analysis Among Gen Z in Navi Mumbai: Reference to UPI
Abstract: India is well on its way to becoming a cashless nation with the launch of the Unified Payment Interface (UPI). The new payment system enables your smartphone to function as a virtual debit card. UPI-based payment apps have notably influenced consumer behavior, especially among the tech-savvy Generation Z (Gen Z), as the digital landscape continues to evolve. In Navi Mumbai, UPI was designed to offer users efficiency, widespread accessibility, transparency, …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 33–47 Read article
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DIGITAL PAYMENTS AS A DRIVER OF SUSTAINABLE CONSUMPTION: A CONSUMER-BASED STUDY OF PERCEIVED CHALLENGES AND OPPORTUNITIES IN FINTECH ECOSYSTEMS
Abstract: The Digital Payment Systems evolved remarkably fast, and so, have transformed the way in which the consumer makes purchases for products and services as well as the way in which they function economically, i.e., how they consume things. Beyond convenience and efficiency, digital payments are increasingly viewed as a potential driver of sustainable consumption by reducing cash dependency, improving transaction transparency, and supporting responsible spending practices. This study examines digital …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 1–12 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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AgriApp: The Trading App
Abstract: AgriApp is an online mobile application designed for the purpose of online trading. The purpose behind developing the AgriApp is to help farmers to sell their merchandises online and to eliminate any third party or middleman seeking out their profit for the crop they produce in the field. The application is developed on react native to make it capable of running on all three platforms of web, iOS and android. …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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Collocation Pattern Analysis
Abstract: Spatial data mining becomes more attractive and significant as more spatial data is built up in spatial databases. Many GIS applications are using spatial patterns that are equal to association rules of a business data mining, i.e., online transaction processing (OLTP). Mining the spatial collocation patterns is a significant spatial data mining job with broad applications. Organizations having large data sets of spatial data need to do certain operations that …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 21–28 Read article
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Blockchain-based Privacy-preserving Data Sharing in Healthcare Systems
Abstract: Healthcare systems contain expansive yet fragmented sensitive data necessitating secure consolidated access mechanisms respecting patient consent preferences continually. This research develops a decentralized blockchain framework orchestrating granular authorization using cryptography while demonstrating efficacy via clinical implementations optimizing cancer diagnostics through aggregated genome analysis otherwise prohibited under isolated datasets. Comparative benchmarking against traditional database models evaluates correctness, interoperability, and auditability improvements using multiparty endorsement affirming consented transactions. Quantified metrics guide technology …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 28–34 Read article
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Unveiling Library Usage Patterns: A Python-based Descriptive Analysis of Big Data in Librarianship
Abstract: This study analyses circulation data from Vivekananda Library, Maharshi Dayanand University, Rohtak, Haryana, India, for the academic year 2022-23. The analysis is conducted using descriptive statistics and Python programming to understand library resource utilisation patterns, temporal trends, and user behaviour. The findings reveal distinct usage patterns across the four quarters, with variations in the number and types of transactions. Temporal trends show fluctuations in library usage based on academic calendars …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article