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42 results for “public infrastructure”
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Research ArticleOpen accessEvery word in the titleE-Visas Verification Schemes Based on Public-Key Infrastructure and Identity Based EncryptionNajlaa A. Abuadhmah, Muawya Naser, Azman SamsudinProblem statement: Visa is a very important travelling document, which is an essential need at the point of entry of any country we are visiting. However an important document such as visa is still handled manually which affects the accuracy and efficiency of processing the visa. Work on e-visa is almost unexplored. Approach: This study provided a detailed description of … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,045 accessesView PDFCite
Research ArticleOpen accessIn the keywordsE-Commerce: Security and ApplicationsAs’ad Mahmoud Alnaser, Ahmed A.M. Sharadqeh, Hazem (Moh’d Said) Hatamleh et al.This study presents an investigation and comparing of all methods used in E-commerce security. Also it presents suggested methods to make e-commerce more secure. Applications of the E-commerce are demonstrated here. The efficiency of the security methods are measured and such efficiency increases as we combined more security methods with each other. A new method of security is suggested which … …American Journal of Applied Sciences, Vol. 9, Issue 11 · 5 Sep 2012 · 7,296 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExplaining Local Growth-Management Policies: The Role of Public GoodsDonna Driscoll, Dennis Halcoussis, Anton D. LowenbergProblem statement: Local jurisdictions such as cities and counties enact a wide variety of growth-management regulations, such as zoning ordinances and growth-promoting incentives. Approach: Use a theory of local public goods to identify the conditions under which jurisdictions are most likely to implement growth-management regulations. Predictions of the theory regarding variation in pro-growth measures across jurisdictions were tested using data … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,384 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Holistic Approach to Security, Availability and Reliability in Fog ComputingAbdulrahman Alshehri, Hazzaa Alshareef, Samah Alhazmi et al.Abdulkareem, K. H., Mohammed, M. A., Gunasekaran, S. S., Al-Mhiqani, M. N., Mutlag, A. A., Mostafa, S. A., Ali, N. S., & Ibrahim, D. A. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access, 7, 153123–153140. https://doi.org/10.1109/access.2019.2947542 Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog Computing for the Internet … …Journal of Computer Science, Vol. 20, Issue 6 · 20 Mar 2024 · 6,372 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDigital Identities and the Promise of the Technology Trio: PKI, Smart Cards, and BiometricsA. M. Al-Khouri, J. BalThis article looks at one of the evolving crimes of the digital age; identity theft. It argues and explains that if three key technologies were implemented together namely biometrics, smart cards, and PKI, then they can deliver a robust and trusted identification and authentication infrastructure. The article concludes that such infrastructure may provide the foundation for e-government and e-commerce initiatives … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local LevelReg Bahadur Bhandari, Nirav Bhatta et al.This research explores the integration of digital tools for e-governance at local levels in Nepal, with a particular emphasis on the current state of digitalization and the opportunities and challenges encountered at the local level. We collected data using a qualitative research methodology, conducting semi-structured interviews and reviewing relevant documents. The findings reveal substantial advancements in digital tools for public … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite