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Review ArticleOpen accessIn the keywordsAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,421 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFals-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
Research ArticleOpen accessIn the keywordsSentiment Identification on Tweets to Forecast Cryptocurrency’s VolatilityRafael Calixto Ferreira de Araújo, Alex Sandro Roschildt Pinto, Mauri FerrandinCryptocurrencies have had a huge presence on social media since their creation. In current days, the constant increase of the mass of data produced by this environment has attracted several researchers to try to identify patterns with the potential to allow identification of the volatility in the crypto market before it happens. This approach involves the concept of the wisdom … …Journal of Computer Science, Vol. 19, Issue 5 · 3 May 2023 · 5,513 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBlock-Matching Twitter Data for Traffic Event LocationAmal Shuqair, Samuel KozaitisWe used a block-matching approach that is data-driven and relies mostly on patterns of tagged speech in Twitter streams as a way to identify events in road traffic. Events are useful because their location may identify the status of road segments, especially when cross-street data are available. Basing a system on patterns that are not pre-defined has the advantage of … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 12 Apr 2017 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,281 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 abstractExploring Self-Esteem and Body Dissatisfaction Among Jamaican Youths: Unraveling Influential Factors and Promoting Positive Self-ImageDenise LloydThis qualitative study explores body image and self-esteem perceptions among Jamaican youths aged 9-15, framed within a Participatory Action Research (PAR) approach. PAR, grounded in critical theory and social constructivism, emphasizes collaborative inquiry, cyclical reflection, and action to address social issues relevant to the participants' lived experiences. This methodology is particularly suited for youth-centred, culturally situated research, as it empowers … …Current Research in Psychology, Vol. 11, Issue 1 · 9 Jan 2026 · 3,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting Disinformation: Enriching the COVAX Reality Dataset with BERT for Stance DetectionSaad Ahmed, Asma Qaiser, Sidrah Abdullah, Muhammad Shoaib SiddiquiSocial media news pages and online news portals have significantly grown in popularity among the users across the globe for accessing the latest and important news. Unlike traditional newspapers, online news portals and social media provide the news round the clock and can be accessed from any location free of cost. However, the internet sources, especially the social media, have … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 1,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis Using Machine Learning and Deep Learning TechniquesSafa Khalid Al Sarayrah, Noor Mahmoud Alkudah, Hesham Yousef Al-kharabshehThis research investigates the use of Machine Learning (ML) and Deep Learning, including BiLSTM approaches, for Sentiment Analysis (SA) of consumer reviews on social media sites. Businesses are increasingly depending on online reviews to determine customer satisfaction due to social media's explosive growth. We used three classification models, the assessment of these attitudes uses Naive Bayes (NB), Support Vector Machine … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 6,818 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Designing Framework for Ant Colony Algorithm for Managing Cognitive InsomniaRoqia Rateb, Amal Shorman, Ahmad Sami Al-Shamayleh et al.Insomnia, a condition characterized by poor sleep quality, significantly impacts cognitive function, mood, and overall well-being. Traditional treatments like medication and psychological therapies, while effective, often come with limitations such as high costs and limited scalability. This study addresses these challenges by proposing an Ant Colony Optimization (ACO) algorithm-based approach to create a dynamic support network for individuals suffering from … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,524 accessesView PDFCite