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933 results for “Data Collect”
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Research ArticleOpen accessIn the abstractA Safe Method of Storing and Exchanging Electronic Health Records Using Smart Contracts and Blockchain Technology Using Fully Hashed Menezes-Qu-Vanstone AlgorithmMeenakshi Vashisth, Raju RanjanElectronic Health Records (EHRs) are essential for clinicians, patients, and researchers because they support timely care and informed decision-making. For this reason, digital health information must be collected, managed, and stored with strong protections to preserve privacy and prevent tampering. One approach to strengthening security is to use blockchain-based storage alongside smart contracts and controlled data sharing, which can help … …Journal of Computer Science, Vol. 22, Issue 2 · 21 Feb 2026 · 1,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Transformer Model for Data-Driven Requirement Engineering: A Case Study of NLP4RE E-Commerce Business Apps in Malaysia and IndonesiaDevi Yurisca Bernanda, Dayang Norhayati Abang Jawawi, Shahliza Abd Halim et al.Data-Driven Requirement Engineering (DDRE) marks a departure from conventional methods, embracing dynamic, user-centric strategies with the help of machine learning and artificial intelligence. As software systems grow more intricate and demand adaptability, a continuous software engineering approach becomes crucial. However, this shift poses challenges in handling data inconsistencies during the elicitation process, leading to software development shortcomings. This study tackles … …Journal of Computer Science, Vol. 20, Issue 11 · 2 Oct 2024 · 5,139 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,673 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n NetworksArgemiro Bevilacqua, Vitor Chaves de Oliveira, Gunnar Bedicks Jr. et al.IEEE 802.11 standard is largely used anywhere as a cheap way to access internet, but the majority of devices used does not provide a standard way to manage them. Mobile stations competing for access point may causes a general wireless network failure, known as the ''MAC Anomaly''. It is presented here an access point with modified firmware, that monitors wireless … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 21 Nov 2015 · 6,517 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractA DATA WAREHOUSE DESIGN FOR THE DETECTION OF FRAUD IN THE SUPPLY CHAIN BY USING THE BENFORD’S LAWCornelia Kraus, Raul ValverdeLarge data volumes and the inability to analyse them enables fraudulent activities to go unnoticed in supply chain management processes such as procurement, warehouse management and inventory management. This fraud increases the cost of the supply chain management and a fraud detection mechanism is necessary to reduce the risk of fraud in this business area. This study was carried out … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 7 Jul 2014 · 8,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE ANALYSIS OF ANTI-COLLISION ENABLED ROBOT USING HYBRID BEACON SCHEDULING APPROACHP. Prabakaran, M. SaravananIn multi-robot environment, when many robots are moving in the same workspace, there is a possibility of their physical collision with themselves as well as with physical objects. In this study, hybrid beacon scheduling protocol is proposed and for avoiding such collisions in robotic mobile environment with low latency and power consumption. The purpose of deploying this protocol is to … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 6 Mar 2014 · 6,453 accessesView PDFCite
Research ArticleOpen accessIn the abstractDATA MINING IN BANKING AND ITS APPLICATIONS-A REVIEWSreekumar Pulakkazhy, R. V.S. BalanBanking systems collect huge amounts of data on day to day basis, be it customer information, transaction details, risk profiles, credit card details, limit and collateral details, compliance and Anti Money Laundering (AML) related information, trade finance data, SWIFT and telex messages. Thousands of decisions are taken in a bank daily. These decisions include credit decisions, default decisions, relationship start … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 9,449 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecured Disclosure of Sensitive Data in Data Mining TechniquesKirubhakar Gurusamy, Venkatesh ChakrapaniRecent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, … …Journal of Computer Science, Vol. 8, Issue 12 · 18 Dec 2012 · 6,484 accessesView PDFCite