Review ArticleOpen accessIn the keywordsFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractCustomized Named Entity Recognition Using Bert for the Social Learning Management System Platform CourseNetworkingKayal Padmanandam, KVN Sunitha, Behafarid Mohammad Jafari et al.Named Entity Recognition (NER) is an information extraction task and one of the most researched applications to extract knowledge from massive data. Conventional NER systems identify predefined entities like name, person, location, organization, time, etc. However, there is a limitation to identifying user-defined entities that are specific to an application. This challenge introduces the concept of customized NER. For instance, … …Journal of Computer Science, Vol. 20, Issue 1 · 15 Dec 2023 · 6,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multimodal Biometric System using Global Features for Identical Twins IdentificationBayan Omar Mohammed, Siti Mariyam ShamsuddinPattern recognition studies are currently focusing on twin’s biometric identification. The system of twins’ biometric Identification can potentially differentiate the individual’s biometric pattern. With the new Unimodal biometric identification, identical twins are precisely and reliably identified, with well exposure of certain traits. However, it is much more challenging to identify identical twins as they share so many similarities between them, … …Journal of Computer Science, Vol. 14, Issue 1 · 18 Jan 2018 · 8,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG ModulationAmala Ann KA, Vaidhehi VSleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) remain resource-intensive and difficult to personalize. This study introduces a novel AI-powered neurofeedback simulation framework designed to detect dysregulated EEG frequency band activity across sleep stages and simulate targeted interventions. A Transformer-based model serves as the core … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,674 accessesView PDFCite
Literature ReviewOpen accessIn the abstractSigns of Predisposition to Atherosclerosis in Fetal DevelopmentAnastasia Vladimirovna Poznyak, Igor Alexandrovich Sobenin, Elizaveta M. Pleshko et al.Atherosclerotic Cardiovascular Disease (ASCVD) remains a significant global health concern, contributing to a substantial number of deaths worldwide. The etiology of this condition is multifaceted, influenced by a plethora of genetic and environmental determinants. Notably, certain risk factors and predictive markers associated with ASCVD may already present or emerge during the prenatal or neonatal period. Early recognition of these markers … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractPALMPRINT VERIFICATION USING INVARIANT MOMENTS BASED ON WAVELET TRANSFORMInass SH. Hussein, Md Jan NordinData security is one of the important issues among computer users. Data security can prevent fraudulent users from accessing an individual's personal data. The biometrics recognition as one of the most important parts in the security of the data and the application of computer vision. The biometrics is the authentication method used in a wide variety of applications such as … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractFACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHMSenthilSingh, ManikandanThe face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 16 Jan 2014 · 6,968 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDFCite