Research ArticleOpen accessIn the abstractSystem for Securing Timestamping and Electronic Signing of PDF Documents: Standards, Schematic, and ImplementationMoussa Habiboulaye, Harouna Naroua, Chaibou KadriThis article investigates the standards and principles for implementing electronic signatures in PDF documents, focusing on security and compliance with legal regulations. The current state of digital signatures is examined, highlighting the importance of authenticity, integrity, and non-repudiation. A detailed analysis is provided on the process of generating and verifying electronic signatures using Public Key Infrastructures (PKI) and cryptographic techniques. … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 1,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Nested Digital Watermarking Scheme Using GARN with DWTEdward Yellakour Baagyere, Peter Awonnatemi Agbedemnab, Mohammed Akolgo, Strato Angsoteng BayitaaCopyright infringement is undoubtedly one of the major challenges in the film and TV industries over the years but has become even more pervasive lately as a result of technological advancement. This has made it possible to decode hitherto, hard-encoded, or encrypted multimedia content resulting in a lot of losses to companies in such industries. Digital watermarking, which is, a … …Journal of Computer Science, Vol. 20, Issue 10 · 30 Jul 2024 · 4,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractInnovations in Access to Justice in Uganda: Justice Users’ LensKakuru Timothy, Ssendikaddiwa Emmanuel, Kennedy Kasozi et al.Access to justice remains a global challenge and in Uganda, four in ten people have at least one legal problem every four years, yet seven in ten of the legal problems are not resolved. While innovation is critical to changing the status quo, most innovations have been mostly informed by what legislators and legal practitioners need to do their jobs … …Journal of Social Sciences, Vol. 20, Issue 1 · 29 Jul 2024 · 6,735 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlternative Monitoring Approach for IPTVAngel Ignatov, Hristo Toshkov Hristov, Jan Latal et al.IPTV emerged in the late 1990s as a solution for delivering Video on Demand (VoD) and live television over managed networks. Its widespread adoption accelerated after the expansion of broadband internet and the introduction of web technologies such as HTML5 and adaptive streaming protocols (MPEG-DASH and HLS), which enabled television content to be streamed directly through web browsers. Across Europe, … …Journal of Computer Science, Vol. 22, Issue 11 · 8 Oct 2026 · 430 accessesView PDFCite
Research ArticleOpen accessIn the abstractUzNER: A Human-Reviewed Benchmark for Uzbek Named Entity Recognition With Gazetteer-Augmented Transformer ModelsBobur Saidov, Vladimir Barakhnin et al.UzNER-100K is a large-scale human-reviewed benchmark for Uzbek named entity recognition with 100,000 training sentences, 18 fine-grained entity types and 200,083 entity mentions across 114,269 sentences in total. The corpus was constructed through an LLM-assisted, expert-reviewed annotation pipeline that achieved strong reliability on the main audit subset while substantially reducing corpus-construction effort. The benchmark includes a standard test split, a … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Semiotic Analysis of Anti-LGBTQ + Politically Motivated Hate SpeechPaul James PopeHate speech is speech that targets vulnerable minority people and groups, intended to denigrate their identity. Although hate speech has persisted for generations, its use against LGBTQ+ citizens has increased significantly since the 2016 U.S. presidential election. Hate speech is distinct from other critical rhetoric as it is both socially and politically motivated speech meant to marginalize and/or promote discrimination … …Journal of Social Sciences, Vol. 22, Issue 1 · 20 Apr 2026 · 1,842 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and ChallengesBattula Thirumaleshwari Devi, Rajkumar RajasekaranThe digital age has fundamentally transformed how information is created and disseminated, raising critical concerns about the authenticity and trustworthiness of online content. Recent advances in Artificial Intelligence (AI), particularly deep learning, have given rise to deepfakes: highly realistic synthetic media generated by manipulating or replacing faces, voices, and actions in videos. While deepfake technology offers innovative applications across various … …Journal of Computer Science, Vol. 22, Issue 1 · 17 Feb 2026 · 4,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting a Specific Deterrence Model on Drunk Driving RecidivismAlyssa M. Sheeran, Jayden VarlineDriving under the influence of alcohol is a unique and significant public health issue. Wisconsin is of particular concern due to the high levels of binge drinking and incidences of drinking and driving. Legal sanctions for reducing drinking and driving have been influenced by the tenets of deterrence theory, yet the effectiveness of these approaches remains inconsistent. The current study … …Journal of Social Sciences, Vol. 21, Issue 1 · 17 Nov 2025 · 2,529 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,234 accessesView PDFCite