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54 articles for “FAK”
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Research ArticleOpen accessIn the abstractEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 580 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 · 4,880 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing EmailsFahad GhabbanPhishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and extract personal information from them, such as bank details, home addresses, and account information. Many attempts have been proposed to tackle this issue by using filtering mechanisms or automated classification methods which … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social MediaNeetu Rani, Amit Kumar Bhardwaj, Shaily Jain et al.Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishing public perception, damaging corporate reputations, disrupting communities, undermining governmental integrity, exposing companies to risks, and posing a grave threat to social cohesion. This research article delves into the endeavours of prominent researchers … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Jan 2026 · 1,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractFals-Ism: A Graph Isomorphism Framework for Multi-Level Detection of Falsified PDF DocumentsJosue Nguinabe, Franklin Tchakounte et al.Fake Portable Document Format (PDF) documents are disseminated in an incredible rhythm across social media. Negative incidences are obvious but effective solutions identifying falsified items in the PDF are still in need. Unlike determining malicious scripts inserted into the file, this research aims at identifying falsified objects from different layers of the document. Specifically, we introduce Fals-Ism, a novel approach … …Journal of Computer Science, Vol. 19, Issue 5 · 11 May 2023 · 5,534 accessesView PDFCite
RetractionOpen accessIn the abstractRetraction Notice: Review of Prodigiosin, Pigmentation in Serratia marcescensThe Online Journal of Biological Sciences has decided to retract the manuscript titled "Review of Prodigiosin, Pigmentation in Serratia marcescens" authored by Anita Khanafari, Mahnaz M. Assadi, and Fatemeh A. Fakhr, published in Volume 6, Issue 1 with the page numbering 1-13. After receiving a complaint, the editorial office found that the manuscript contains plagiarized material from the manuscript entitled … …OnLine Journal of Biological Sciences, Vol. 22, Issue 4 · 31 Dec 2022 · 5,069 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Data Mining Classification Techniques for Detection and Prediction of Phishing WebsitesLuai Al-ShalabiData mining is the process of discovering or extracting information from large amount of data that are stored in databases or datasets such as phishing dataset. Phishing is a vital web security problem that involves simulating legitimate websites to mislead online users in order to steal their sensitive information. This paper aims to detect and predict the type of the … …Journal of Computer Science, Vol. 15, Issue 3 · 19 Mar 2019 · 7,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Visible and Near Infrared Polarized Lights on Spoofing Face DetectionAzim Zaliha Abd AzizFace spoofing countermeasure is vital to avoid an imposter from gaining access to security biometric systems by using face masks in various forms that mimic a valid user face. Recently, several studies have shown the ability of visible polarized light in distinguishing real and fake faces. In this paper, polarization imaging systems using visible and near infrared (NIR) are proposed … …Journal of Computer Science, Vol. 15, Issue 2 · 23 Feb 2019 · 7,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Ergonomics Guidelines for Improved Sitting Postures in the Classroom among Malaysian University StudentsPoh Kiat Ng, Kian Siong Jee, Sin Yee LimPLIBEL stands for Plan for Identifiering av Belastnings faktorer, which is a Sweedish acronym describing a method for identification of ergonomics hazards. Using a modified PLIBEL checklist, this study aimed to identify the relationships among musculoskeletal risk factors and the classroom sitting conditions among Malaysian university students. A survey questionnaire was developed based on the modified PLIBEL checklist. A total … …American Journal of Applied Sciences, Vol. 13, Issue 8 · 31 Aug 2016 · 9,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVALUATING THE SENSITIVITY OF PSEUDOMONAS AERUGINOSA, ESCHERICHIA COLI AND SALMONELLA TYPHI TO VARIOUS BRANDS OF AMPICILLIN AND AMOXICILLIN AVAILABLE IN NIGERIAE. E. Anomohanran, U. B. Owhe-Ureghe, D. A. EhwariemeThe failure of antimicrobial agents in the treatment of some ailments has become a great concern to health care practitioners. This could be as a result of low quality drugs, sneaked into the market by those who fake them, thus, this study was carried out to evaluate the sensitivity of various brands of Amoxicillin and Ampicillin on clinical isolates of … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 4 · 22 Oct 2014 · 8,211 accessesView PDFCite