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32 articles for “visual applications”

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Research ArticleOpen accessIn the abstractSegment-Aware Dynamic Partitioning PCM-DRAM: A Solution to IoT Devices Development ConstraintsQijin Zhu, Shuyi Liu, Zahid Akhtar, Kamran SiddiqueThe Internet of Things(IoT) furnishes a visual blueprint for the future internet. It serves upsensors, actuators, and distal devices on the edge of the network, creating agiant interconnected network. The IoT era refers to the future where all theconceivable data streams are integrated into the IoT, granting human-barrierfree access to physical entities on the internet. Along with the rapid progressof … …Journal of Computer Science, Vol. 19, Issue 10 · 5 Sep 2023 · 5,382 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Children Learning Styles Using Elicitation ApplicationMira Kania Sabariah, Paulus Insap Santosa, Ridi FerdianaLearning styles is one aspect of pedagogy that needs to be considered in the learning process. Understanding of material will be achieved if it is by the learning styles. Children do not have experience in the learning process, so identification of children learning styles is needed. The cognitive, psycho-motor and emotional abilities of children in each varying age range become … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,263 accessesView PDFCite
Research ArticleOpen accessIn the abstractVisual Tracking using Invariant Feature DescriptorLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooThe process of identifying the state of an object in a video sequence is referred as visual tracking. It is mainly achieved by using the appearance information from a reference image to recognize the similar characteristics from the other images. Since a digital image is built-up with rows and columns of pixels that are represented with finite set of digital … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 21 Sep 2017 · 7,715 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 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
Research ArticleOpen accessIn the abstractAn integrated Framework Based on Texture Features, Cuckoo Search and Relevance Vector Machine for Medical Image Retrieval SystemYogapriya Jaganathan, Ila VennilaAs medical images are widely used in healthcare applications, Content Based Medical Image Retrieval (CBMIR) system is needed for physicians to convey effective decisions to patients and for medical research students to learn imaging characteristics for their extensive research based on visual features. However the performance of the retrieval is restricted due to high feature dimensionality of visual features. To … …American Journal of Applied Sciences, Vol. 10, Issue 11 · 24 Sep 2013 · 6,878 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Clustering Based Exposition to Multiple Dictionary Bag of WordsK. S. Sujatha, B. VinodObject classification is a highly important area of computer vision and has many applications including robotics, searching images, face recognition, aiding visually impaired people, censoring images and many more. A new common method of classification that uses features is the Bag of Words approach. In this method a codebook of visual words is created using various clustering methods. For increasing … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Personal Identification Using Feature Similarity Index MatchingR. Gayathri, P. RamamoorthyProblem statement: Biometrics based personal identification is as an effective method for automatically recognizing, a person’s identity with high confidence. Palmprint is an essential biometric feature for use in access control and forensic applications. In this study, we present a multi feature extraction, based on edge detection scheme, applying Log Gabor filter to enhance image structures and suppress noise. Approach: … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 2 Mar 2012 · 6,715 accessesView PDFCite
Research ArticleOpen accessIn the abstractVisually Impaired Children's Acceptances on Assistive CoursewareNurulnadwan Aziz, Nur Hazwani Mohamad Roseli, Ariffin Abdul MutalibProblem statement: The government of Malaysia is considering serious efforts in promoting the usage of computers among disabled people. Currently, the availability of computer applications especially related to creative contents for disabled people in Malaysia is infancy and very expensive. Research and expertise in the area of Assistive Technology (AT) in Malaysia is still uncommon and not extensively utilized. Therefore … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 7 Sep 2011 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Development of Ontology Suite for Software Risk Planning, Software Risk Tracking and Software Risk ControlC.R. Rene Robin, G. V. UmaProblem statement: Ontology as a conceptual courseware structure may work as a mind tool for effective teaching and as a visual navigation interface to the learning objects. Knowledge visualization is defined as the use of visual representations to transfer knowledge between at least two persons. This study presents the design, development and visualization of ontologies for Software Risk Planning, Software … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,965 accessesView PDFCite