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Research ArticleOpen accessIn the abstractMulti-Satellite Custody of Moving Ground TargetsDavid SchusterMaintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with scalability as the number of assets and targets grows. In this paper, we present a centralized Reinforcement Learning (RL) approach using Proximal Policy Optimization (PPO) to coordinate four LEO satellites tasked with tracking two … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,583 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Mobile Applications and Voice Recognition in an IoT-Based System in the Server Room of PT. Ecocare Indo PasifikRaka Dhaneswara, Alexander Agung Santoso GunawanThe progress made on the Internet of Things (IoT) has given an opportunity to people to have control over their home devices from afar using mobile applications. While PT. Ecocare Indo Pasifik (ecoCare) is still in the first few years of its journey through this new digital transformation era, there are some shortcomings on the way it handles its digital … …Journal of Computer Science, Vol. 21, Issue 11 · 26 Jan 2026 · 1,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Option Pricing with Gaussian Mixture Distributions and Mixed CopulasJimbo Henri Claver, Tatanfack Emerson, Shu FelixRecently, it has been reported that the hypothesis proposed by the classical black scholes model to price multivariate options in finance were unrealistic, as such, several other methods have been introduced over the last decades including the copulas methods which uses copulas functions to model the dependence structure of underlying assets. However, the previous work did not take into account … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 3 Apr 2023 · 6,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternational Business Law Concerning Domestic and an International TradeDawood Ahmad, Gideon F. B. SolreLaw is the core discipline of society as well as playing a vital role in any organization which is working and exists in the World. International law and trade are the backbones of global organizations. In this present discussion, secondary data was used. Data were obtained from secondary sources, especially from the law discipline research article, and from authentic and … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 2 Feb 2023 · 7,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Secure Framework for Decentralized Digital Lockers Using Blockchain TechnologyYassir Farooqui, Syed Ibad Ali, Kishori Shekokar et al.In the age of digital transformation, the Decentralized Digital lockers provide as an innovative combination of blockchain This paper presents a decentralized digital locker system that combines blockchain technology with a user-friendly web application to securely store and manage digital assets. By using the Ethereum blockchain, the platform ensures strong security and unchangeable records. Users can easily register, store, and … …Journal of Computer Science, Vol. 21, Issue 9 · 23 Oct 2025 · 2,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Indoor Asset Tracking: IoT Integration and Machine Learning Approaches for Optimized PerformanceRafiq Hamadamin Maulud, Sadegh Abdollah AminifarIndoor asset tracking entails the surveillance and governance of the position and movement of tangible assets within enclosed spaces, including warehouses, hospitals, and workplaces. Indoor asset tracking systems employ technologies such as Radio Frequency Identification (RFID), Bluetooth Low Energy (BLE), Wi-Fi, and UWB (Ultra-Wideband) to deliver real-time visibility and precise placement of goods. This research introduces indoor asset tracking with … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedLoBA-1: A Load Balancing Architecture for Mitigating Resource Overloading in Federated Cloud InfrastructuresDamola Gideon Akinola, Emmanuel Adetiba et al.In a subscription-based service such as cloud computing, clients have scheduled access to shared resources such as data, software, storage, and other assets as needed. Despite several benefits, cloud computing still faces significant difficulties. Load balancing, which is the capacity of the cloud infrastructure to equally distribute tasks among the resources in the cloud environment has significant issues. Cloud federation … …Journal of Computer Science, Vol. 21, Issue 2 · 23 Jan 2025 · 6,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Customer Predictive Model for Investment Using Ensemble Learning TechniqueThongchai Kaewkiriya, Kittipol WisaengMany new investors that want to purchase a fund might be disappointed with the return-on-investment value. This problem occurs because they do not know important factors that could affect the market value. Plus, some assets might not be suitable for the investor's investment style. To reduce the mentioned problems, many asset management companies research the systems that could find a … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,537 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 · 6,469 accessesView PDFCite