Research ArticleOpen accessEvery word in the titleStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,700 accessesView PDFCite
Case ReportOpen accessEvery word in the titleSocial Psychology and Performative Interventions in Human Systems. The GENERATIVE MethodAlessio Nencini, Alessandro Meneghini, Marco PratiThe purpose of this paper is to describe the GENERATIVE method, a methodology for promoting change in human systems (i.e., contexts involving human interactions, such as organizations, communities, institutions). The first part of the paper is focused on the description of the interactionist and constructionist epistemological background adopted. The second is dedicated to the presentation of human systems as socially … …Journal of Social Sciences, Vol. 11, Issue 1 · 29 May 2015 · 7,416 accessesView PDFCite
Review ArticleOpen accessIn the keywordsVaccine Misinformation in the Digital Age: A Narrative ReviewOluwatobi AtibaConfidence in immunization has weakened across several regions over the past decade, and the circulation of inaccurate or misleading content about vaccines has accompanied, though not necessarily caused, the resurgence of vaccine-preventable infections. Adequate analysis cuts across immunology, behavioral science, communication research, and public-health practice. This narrative review draws on literature retrieved from PubMed, Scopus, Web of Science, and Embase, … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 23 Sep 2026 · 586 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuzzy Method for Online Learning of Bayesian Network ParametersMariana D.C. Lima, Silvia M. NassarIn learning problems, there are situations where training data is not fully available at the learning time. They are incrementally generated by time, defining a type of domain called online that has among its characteristics the possibility of data failure or even missing data. In Bayesian networks, learning is divided into two categories: structure (related to the graph of conditional … …Journal of Computer Science, Vol. 15, Issue 3 · 16 Mar 2019 · 7,498 accessesView PDFCite
Review ArticleOpen accessIn the keywordsAn Overview on the use of Ontologies in Software EngineeringDaniel Strmečki, Ivan Magdalenić, Dragutin KermekOne of the main goals of the Software Engineering (SE) discipline is to find higher abstraction levels and ways to reuse software in order to increase its productivity and quality. Ontologies, which are typically considered as a technique or an artifact used in one or more software lifecycle phases, may be used to help achieve that goal. This paper provides … …Journal of Computer Science, Vol. 12, Issue 12 · 9 Feb 2017 · 7,353 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA 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 · 1,897 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSuicide Ideation and Risk Detection from Social Media Using GPT ModelsSara Lasri, El Habib Nfaoui, Karima MrizikAs a reason for the sensitiveness of suicide ideation and its considerable impact on people's lives, the demand to treat and prevent the suicide ideation issue has become an obligation. Suicide ideation is a result of a combination of psychological pain and hopelessness. According to the World Health Organization, the task of reducing the global suicide mortality rate is a … …Journal of Computer Science, Vol. 20, Issue 10 · 26 Aug 2024 · 5,704 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImprovement of Tone Intelligibility for Average-Voice-Based Thai Speech SynthesisSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Tone intelligibility in speech synthesis is an important attribute that should be taken into account. The tone correctness of the synthetic speech is degraded considerably in the average-voice-based HMM-based Thai speech synthesis. The tying mechanism in the decision tree based context clustering without appropriate criterion causes unexpected tone neutralization. Incorporation of the phrase intonation to the context clustering … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 24 Jan 2012 · 6,969 accessesView PDFCite