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114 results for “Robustness results”

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Research ArticleOpen accessIn the abstractHybrid Data Security Approach Based on GAN Teganographyand AES-RSA Encryption in a Distributed SystemDerrick Méthode Bagaza, Abraham Walake, Mamoudou Kourouma, Blaise Omer YenkeData security in distributed environments has become a major challenge due to the dispersion of resources, the expansion of the attack surface, and the increasing sophistication of cyber threats. Although traditional mechanisms such as data encryption, multi-factor authentication, and access control systems help to strengthen information protection, these approaches still have certain limitations when faced with advanced attacks and human … …Journal of Computer Science, Vol. 22, Issue 8 · 28 Jul 2026 · 1,062 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning the Future: A Blockchain-Based Framework for Transparent and Secure ElectionsJayesh Solanki, Divyakant MevaBlockchain-based electronic voting systems have been identified as a solution to enhance the transparency, security, and efficiency of modern electoral processes. However, the existing system has three major problems, which include scalability, privacy issues, and cybersecurity attacks. The researcher proposed an innovative solution to develop an electronic voting system with enhanced security, scalability, and transparency of voters' information. This paper … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractSEAchain: A Privacy-Preserving Dual-Credential Model on BlockchainS. Balachander, A. MuruganAll facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,310 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 abstractHybrid Adaptive Filters for Dynamic Mass Measurement of Moving Objects on Flexible PlatformsSergio Bimbi Junior, Flavio Celso Trigo, Agenor de Toledo FleuryDynamic mass measurement of moving objects on flexible platforms remains a significant challenge due to mechanical vibrations, structural flexibility, and the inherently low Signal-to-Noise Ratio (SNR) of strain gauge sensors. Traditional analog filtering approaches, such as Tow– Thomas active filters, exhibit limitations since gain stages propagate and may even amplify intrinsic noise, compromising metrological accuracy. This work proposes a hybrid … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 Apr 2026 · 2,655 accessesView PDFCite
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 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransfer Learning-Driven Binary Classification of Chest X-ray for Pneumonia Using Deep Convolutional ArchitecturesNusrath Fathima, Pradeep KumarPneumonia is the most common infectious cause of lung inflammation, resulting from the presence of viruses or bacteria in the microscopic air sacs. In recent years, artificial intelligence, particularly deep learning, has gained significant traction in the field of medical imaging. Early detection and diagnosis of pneumonia using chest X-rays can support radiologists in clinical decision-making and subsequent treatment planning, … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of a Synchronous Reference Frame Controlled Fuzzy Logic Based Distribution Static Compensator to Enhance Distribution System Power QualityRekha Sampath, Lokesh Mallaiah, Ashwini A V et al.The demand for enhanced power quality in distribution systems has increased due to the widespread utilization of various AC loads, including rectifiers, inductive loads, and variable speed drives. When these nonlinear loads are combined with renewable energy sources, harmonics are introduced in the system. These can affect the way other equipment in the network works and leave the system vulnerable … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Food Expenditures in Nigeria: A Case Study of Lafia, Nasarawa StateOlusola Collins Akeremale, Imam Akeyede, Ishaku Audu, Adekemi O. AkeremaleCurrently, the prices of commodities in Nigeria are consistently rising owing to several variables, including economic conditions, political influences, and technical progress. Consequently, the cost of essential items, including food, has risen significantly. Consequently, they often disregard nutritious dietary habits and fail to obtain adequate daily nutrients. This will lead to several repercussions, including diseases, disorders, and less vitality for … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 12 Feb 2026 · 2,525 accessesView PDFCite