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23 results for “Single system image”
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Research ArticleOpen accessPhrase in the titleArchitectural Review of Load Balancing Single System ImageB. S. Ahmed, K. Samsudin, A. R. RamliProblem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternative solution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of Single System Images like file system … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 8,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractCUDA-Powered EDSR x4: Super-Resolution for Real-Time Video EnhancementGaneshayya Shidaganti, Shubeeksh Kumaran, Vishwachetan DSuper-Resolution enhances image or video quality by upscaling frames to higher resolutions, which is essential for applications like investigative analysis demanding higher quality. However, this process is resource-intensive. GPUs, with their thousands of CUDA cores, offer significant parallel processing advantages over CPUs, enabling faster performance. This paper presents an optimized approach for real-time video enhancement using the EDSR x4 model … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Feature Recognition of Healthy Vegetable Seedlings Based on Machine Vision TechnologyKaikang Chen, Yongkun Fu, Yongjun Zheng et al.The quality of potted seedlings has an important influence on the yield of vegetables during seedling raising and transplanting. The inconsistency of potted seedlings after transplanting is the main factor causing the decline in vegetable quality and yield. To eliminate or reduce this influence, the health test of potted vegetable seedlings before transplanting is particularly important to ensure crop yield. … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 11 Apr 2022 · 6,245 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Cost Shooting Simulator Based on a Single Board ComputerAryuanto Soetedjo, Ali Mahmudi, Mochammad Ibrahim Ashari, Yusuf Ismail NakhodaThis paper proposes the camera on weapon system used as the shooting simulator. The single board computer (Raspberry Pi module) is used as the main processor. The OpenCV is implemented on the embedded system to perform the image processing task. The aim of the proposed camera on weapon system is to detect the position of the markers on the target … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 6 Apr 2015 · 7,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Model for Human Recognition System Using Hand Dorsum Geometry and Finger-Knuckle-PrintB. Mathivanan, V. Palanisamy, S. SelvarajanThis study focuses on developing an efficient person identification and recognition system using hand based biometrics for secured access control. In most of the previous works on hand-based recognition methods, mostly, the importance was not given to the top side of the hand, which is used in this model. Iin our previous work we have developed a Hand based biometric … …Journal of Computer Science, Vol. 8, Issue 11 · 8 Sep 2012 · 6,867 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Robust Recognition System for Pecan Weevil using Artificial Neural NetworksSaleh Mufleh Al-SaqerProblem statement: Pecan Weevil is a widely found pest among pecan trees and these pests are known to cause significant damage to the pecan trees resulting in enormous annual losses to pecan growers. Traditional identification techniques for pecan weevil include traps with pheromones to detect the infestation of these pests. However, these traditional methods require expensive labor hours to set-up … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 6,831 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Reliable Identification System for Red Palm WeevilSaleh Mufleh Al-SaqerProblem statement: Red Palm Weevil (RPW) is a widely found pest among palm trees and is known to cause significant losses every year to palm growers. Existing identification techniques for RPW comprise of using traps with pheromones to detect these pests. However, these traditional methods are labor-intensive, expensive to implement and unreliable for early detection of RPW infestation. Early detection … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 18 Jun 2012 · 7,018 accessesView PDFCite