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87 results for “financial development”

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Research ArticleOpen accessIn the keywordsFree Enterprise and Entrepreneurship in Serbia: An Analysis of Motivations, Financing and ObstaclesNina Radojevich-KelleyProblem statement: Entrepreneurship is considered to be a major driving force to economic development throughout the world. Free enterprise is challenging in any country, especially in a developing nation such as Serbia where communism and socialism prevailed for decades. The purpose of this study is to examine entrepreneurship and free enterprise in Serbia as well as the challenges or obstacles … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 21 Apr 2011 · 8,046 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Effect of the International Accounting Standards on the Related Party Transactions DisclosureStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Several recent North American corporate scandals have brought attention to the potential for accounting manipulations associated with Related Party Transactions (RPTs), which have lead to a decline in perceived earnings quality. We examine the value relevance of disclosed RPTs in Greek corporations. Approach: We focus on two types of RPTs: sales of goods and sales of assets, using … …American Journal of Applied Sciences, Vol. 8, Issue 2 · 28 Feb 2011 · 7,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing E-Banking Security and Personalization through Convolutional Neural Network-Based Facial RecognitionRamy Kamal Amin, Ghada A. El Khayat, Farid El Sahn, Abeer A. AmerFacial recognition technology has become a cornerstone in enhancing the security and user experience of electronic banking services. Its ability to provide a seamless yet secure authentication method is vital in combating fraud and maintaining the integrity of online financial transactions. This study presents the development of an advanced electronic banking system that strengthens security through the integration of a … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 3,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractGreedy Algorithm Implementation for Test Case Prioritization in the Regression Testing PhaseAkira Wahyu Putra, Nilo LegowoThis study examines the implementation of Test Case Prioritization (TCP) using the Greedy Algorithm (GA) to enhance regression testing efficiency within a financial technology company's software development cycle. With testing durations increasing significantly, this study aims to address inefficiencies by applying the Greedy Algorithm to optimize test suite size and fault detection. The research methodology involves applying the Greedy Algorithm … …Journal of Computer Science, Vol. 21, Issue 2 · 9 Jan 2025 · 7,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractOffice Supplies Requisition-Disbursement System Processing on Cloud: Algorithms and Database Design TechniquesKriangsak Chanthinok, Ekkachai NaenudornDigitalbusiness organization is an organization that has applied informationtechnology to its operations and benefits from saving costs, saving resources,and making it quick to act and operate the business. However, manyorganizations lack systems to complement effectively internal management suchas in-house office supplies requisition-disbursement system. Past research papers have shown that a widerange of office supplies requisition-disbursement systems have been developed,but almost … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 6,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicrocredit Services to Reduce Vulnerabilities in Italy: An Exploratory Study Using Focus GroupsAndrea Calzolari, Domenica Federico, Antonella Notte et al.The development and promotion of microfinance services has been viewed as a key policy and program intervention for poverty reduction and bottom up economic and social local development. This study aims to analyze critically the role of microcredit in Italy as a tool to facilitate the credit access to vulnerable people and help them establish or expand a business. Using … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 26 Mar 2023 · 6,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Neural Network Models for Predicting EUR/USD Direction: An Empirical StudyEl Badaoui Mohamed, Raouyane Brahim, El Moumen Samira, Bellafkih MostafaThis paper presents a rigorous comparative analysis of six feedforward neural network models for predicting the directional movement of the EUR/USD currency pair. The evaluated models include the Learning Vector Quantization, Cascade Neural Network, Feedforward Neural Network, Single Layer Perceptron, Multi-Layer Perceptron, and Radial Basis Function network. Utilizing daily historical data from April 2009 to May 2024, each model was … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation Rule Analysis of Qualitative Contribution Evaluation of Faculty Using Distributed Mining with Apriori AlgorithmMylene Bello Ragobrio, Rhoderick D. Malangsa, Rujube Hinoguin-HermanoTeacher evaluation, where students serve as evaluators, is common in Philippine educational institutions. Student input based on teacher performance is considered crucial for fostering faculty development and professional advancement. The government implemented National Budget Circular (NBC) No. 461 which standardizes promotion procedures, encouraging equity and uniformity in faculty promotions among State Universities and Colleges (SUCs). Financial assistance comes from the … …Journal of Computer Science, Vol. 21, Issue 11 · 27 Jan 2026 · 1,590 accessesView PDFCite