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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 abstractA Study on Emotion Analysis and Music Recommendation Using Transfer LearningKrishna Kumar Singh, Payal DemblaAs more and more people access and consume music through streaming platforms and digital services, music recommendation has grown in importance within the music industry. Given the abundance of music at our disposal, music recommendation algorithms are essential for guiding users toward new music and for creating individualized listening experiences. People frequently seek out music that fits their current emotional … …Journal of Computer Science, Vol. 19, Issue 6 · 16 May 2023 · 7,109 accessesView PDFCite
EditorialOpen accessIn the abstractEditorial Commentary: Challenge of Non–AIDS-Defining Cancers (NADCs), Focusing on Trans Activation Response Element (TAR) RNA Embedding ExosomesLechuang Chen, Ge JinGlobally, 37.9 million people were living with HIV at the end of 2018 (Organization, 2018). Cancer is a major cause of mortality and morbidity in AIDS patients and chronically HIV-infected people. With the aid of combination Antiretroviral Therapy (ART), people living with HIV (PLWH) have a longer life span. However, because the virus is not completely eradicated, PLWH under antiretroviral … …American Journal of Immunology, Vol. 15, Issue 1 · 28 Nov 2019 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodiversity and Spatial Distribution of Hornbills in Pondok Buluh Educational Forest, North Sumatra, IndonesiaBudi Utomo, Nabillah Saraswita, Cindy Siahaan et al.Hornbills are large birds, several species of which are protected under national and international conservation legislation and face significant extinction risk. This study was conducted in the Specific Purposes Pondok Buluh Forest Area, North Sumatra, Indonesia, with the aim of identifying hornbill species present, estimating their population density, and characterizing their habitat. Hornbill surveys were carried out using the point … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 28 Mar 2026 · 1,405 accessesView PDFCite
Research ArticleOpen accessIn the abstractLiveness Detection from Real user, Printed Pictures and Pictures on Mobile Devices from Low Resolution WebcamHajer Mohamed H Ben Amer, Dr. Leelavathi Rajamanickam, Dr. Anas A. AbboudBiometrics data have emerged as one of the most widely used technologies for validation of identity in various sectors. Nevertheless, spoof biometric data are used by attackers to get access to their targets. Hence, a number of approaches have been initiated to detect these spoofed biometric data. As such, this article proposed a complete methodology for liveness detection using low … …Journal of Computer Science, Vol. 13, Issue 9 · 26 Sep 2017 · 7,684 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Pattern Recognition for Thresholding between Human Skin and Background in Color ImagesRafael Divino Ferreira Feitosa, Vinícius Araújo Santos, Leandro Luís Galdino de Oliveira et al.Many research works based on the tone of human skin have been developed to locate and track the human body for the purpose of recognition in color images. With respect to other techniques, some advantages of face detection based on skin color are the smaller processing time, invariant angles of rotation and the performance in semi-occluded faces. In this study … …Journal of Computer Science, Vol. 13, Issue 2 · 10 Apr 2017 · 7,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Secure Model for Storage and Dissemination of Examination Results: A Case Study of Zambia Technical Education Vocational and Entrepreneurship Training AuthorityLister Mseteka, Jackson PhiriMost developing countries and public higher institutions of learning have low levels of Information and Communication Technology (ICT) and hence face challenges in securing information and information systems. Therefore, dissemination of examination results through web and mobile applications usually raise security concerns on how to ensure the confidentiality, integrity and authenticity of students’ examination results due to susceptibility of web … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Feb 2019 · 8,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Geodesic-Tchebychev Transform: An Image Similarity Measure for Face RecognitionAli Nadhim Razzaq, Zahir M. Hussain, Hind Rustum MohammedThis work presents a new holistic measure for face recognition. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. In the face detection process to identify the face area in face images, Viola-Jones algorithm has been used. Feature extraction is based on performing double-transformation, where discrete Tchebychev transform is performed on the geodesic distance transform of the grayscale … …Journal of Computer Science, Vol. 12, Issue 9 · 29 Nov 2016 · 7,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUSION OF COLOR AND MODIFIED WEBER’S LAW DESCRIPTOR BASED HUMAN SKIN DETECTIONC. Prema, D. ManimegalaiSkin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depends on real … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,397 accessesView PDFCite