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Research ArticleOpen accessIn the abstractEmpowering Privacy: Harnessing Hyperledger Fabric to Safeguard EHR SystemsVidhi Thakkar, Vrushank Manharlal ShahThe Blockchain boom began with the debut of Bitcoin. The application of blockchain technology is expanding rapidly. Various sectors such as supply chain, logistics, research, healthcare, government, banking, media, and entertainment have already embraced this ground-breaking, decentralized technology. The healthcare industry is at the top of the list with significant blockchain potential. This article discusses the permissioned blockchain powered by … …Journal of Computer Science, Vol. 19, Issue 11 · 18 Sep 2023 · 6,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractStrengths and Weaknesses of Digital Maturity ModelsAbdoulaye Sadio Barry, Saliha Assoul, Nissrine SouissiAssessing digital maturity is a prerequisite for any digital transformation initiative. This assessment allows the business to know its current level of digital maturity and assess its ability to manage change. The evaluation also enables society to identify the main thrusts and objectives of its digital strategy. This article analyses the strengths and weaknesses of 8 digital maturity models to … …Journal of Computer Science, Vol. 19, Issue 6 · 31 May 2023 · 6,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Multi-Layer Perceptron in Ensemble Using Random Search for Bankruptcy PredictionBambang Siswoyo, Zuraida Abal Abas, Ahmad Naim Che Pee et al.A corporation is in financial trouble if it has money problems but has yet to be bankrupt. Companies' financial woes must be identified early to implement various bankruptcy avoidance strategies. This study discusses the optimization of the multi-layer perceptron ensemble stacking classifier hyperparameter by majority voting as a methodology for constructing a classification model for bankruptcy prediction (MLP-STM). The primary … …Journal of Computer Science, Vol. 19, Issue 2 · 5 Feb 2023 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractContextualizing Microcredit in Bosnia-Herzegovina and Hungary: A Focus Group ExplorationDomenica Federico, Andrea Calzolari, Antonella Notte et al.Microfinance is gaining importance as a toolto reduce poverty and promote financial and social inclusion. The main goal ofthe paper is to analyze the role of microcredit to solve the problem of the creditaccess to vulnerable people. The paper focuses on the direct experience ofpeople who have used microcredit living in Bosnia-Herzegovina and Hungary toanalyze the use of microcredit in … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 17 Aug 2022 · 5,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractChallenges and Opportunities of Growing Performance of Online Animal Selling in Bangladesh During COVID-19 SituationMd. Shahnur Azad Chowdhury, Md. Shahidul Islam, A. M. Shahabuddin et al.Online animal transaction has become a popular growing technique in the COVID-19 pandemic situation in Bangladesh. The purpose of the study is to evaluate the function of physical, socio-religious, and marketing challenges that accelerated online animal selling in the pandemic situation. Using stratified random sampling in randomized block design, a response to a survey questionnaire has been collected from 200 … …Journal of Computer Science, Vol. 18, Issue 6 · 1 Jul 2022 · 6,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Heart Disease for Diabetic Patients Using Recursive Feature Elimination with Random ForestBindushree Doddasiddavanahalli Channabasavaraju, Udayarani VinayakamurthyData Mining Techniques are used in many areas like banking, healthcare, education because of extracting relevant information from the database. Many algorithms in data mining are used to predict the disease to reduce the patient treatment cost as well as increase the diagnosis accuracy. In this research work, the risk level of diabetic heart disease patient can be predicted using … …Journal of Computer Science, Vol. 16, Issue 1 · 27 Jan 2020 · 7,931 accessesView PDFCite