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175 results for “Reliable Data”
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Research ArticleOpen accessIn the abstractBlockchain-NFV for Smart Digital and Secure Physical Structures in E-Government, Healthcare, and Network SystemsHayder Abdulsattar Nahi, Ebtehal Akeel Hamed, Rusul A. Salman, Akmam Majed MosaThis paper proposed a combined model that melds Blockchain technology with Network Function Virtualization (NFV) to promote many areas, such as smart, secure, and scalable physical and digital infrastructures in E-Government, Healthcare, and Network Systems. The model treats the principal objections in conventional systems, including centralization, slowed service deployment, and restricted safety. By employing decentralized Digital Identity Decentralized identifiers (DIDs), … …Journal of Computer Science, Vol. 22, Issue 4 · 21 Apr 2026 · 1,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of the UTAUT Model to Investigate User Acceptance of Facial Recognition Technology in Mobile Banking: A Case Study from ThailandKriangsak Chanthinok, Radyan Dananjoyo, Palan JantarajaturapathThis research examines the determinants affecting consumers' willingness to embrace facial recognition technology for mobile payments in Thailand. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT), the study incorporates eight fundamental constructs: Performance expectancy, effort expectancy, social influence, facilitating conditions, perceived ease of use, perceived usefulness, attitude toward use, and intention to utilize facial recognition. Furthermore, demographic … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,629 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Forensic Profiling of Primer-Derived Inorganic Gunshot Residues Using SEM-EDX SpectroscopyAhmed M. Bendary Salem, Aldo Barbaro, Bolaji OladipoGunshot Residue (GSR) analysis presents a significant challenge in forensic science due to the need to detect and identify minute traces of powders and initiating compositions formed during the chemical decomposition and deflagration processes within cartridge cases. This research is a qualitative comparative profiling study, designed to create a reference database of the most characteristic elemental markers for commonly used … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 6 Mar 2026 · 2,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning a Generic Information Systems Audit Framework to Improve the Quality of Audit in Higher EducationElfadil A. Mohamed, Elgilani El. Elshareif, Omer Ishag Eldai MohamedThere are some similarities between Financial Statement Audit (FSA) and Information Systems Audit (ISA). FSA is an examination of the reliability and integrity of financial statement records, whereas ISA is a review and evaluation of the controls, risks and system development within an information systems infrastructure to ensure that the safeguards protect against abuse, protect assets, maintain data integrity and … …Journal of Computer Science, Vol. 15, Issue 5 · 10 May 2019 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Temporal Sentinel-2 Images for Classification AccuracyYuhendra, Eva YuliantiThe term ‘multi-temporal’ refers to data recorded by sensors scanning the same scene at different dates and times. In this research, Sentinel-2A images were selected for the analyses. Sentinel-2 is a very new program of the European Space Agency (ESA) designed for fine spatial resolution global monitoring. Land Cover–Land Use (LCLU) classification tasks can take advantage of the fusion of … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,953 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 · 7,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecuring IoT Networks: Multi-Attack Detection of RPL Routing Threats Using Deep LearningAyoub Krari, Abdelmajid Hajami, Ayoub Toubi, Marouane Ait SaidThe growing frequency of cyber threats in Internet of Things (IoT) networks, including attacks on RPL routing, requires the creation of strong detection systems to safeguard network integrity and provide dependable communication. This study is driven by the pressing necessity to tackle the security weaknesses in IoT networks, where threats such as black holes, version number alteration, DIS flooding, and … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,397 accessesView PDFCite