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46 articles for “Time Resolution”
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Research ArticleOpen accessEvery word in the titleCUDA-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 NotesOpen accessEvery word in the titleTime-Resolution of Climate Change Monitoring Volcanic Cycles, Stromboli, Ocean Floor Biota and Pandemics (?)Giovanni Pietro Gregori, Gabriele PaparoClimate change is an ongoing, poorly understood and disquieting challenge. The primary drivers are debated. Clear evidence is however suggestive of a time variation of the planetary release of endogenous energy. In fact, soil exhalation is an unprecedented challenge for humankind, as a phenomenon of this kind happens only every 27.40.05 Ma, while human history spans only the last 30,0000 … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 7 Sep 2021 · 6,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractSM-SCAM YOLO: Enhancing Object Detection with Multi-Scale Module and Spatial Channel Attention MechanismShanmuga Sundari Mariyappan, Kayalvizhi Mohan, K. B. K. S. DurgaDetecting tiny objects remains a significant hurdle in computer vision, primarily due to scale variation, occlusion, and the loss of detail in low-resolution features. Although YOLO-based detectors are popular for their speed and efficiency in real-time tasks, they often struggle with accurately identifying small objects because of information loss during downsampling. This study introduces an improved YOLO-based model that integrates … …Journal of Computer Science, Vol. 21, Issue 6 · 12 Jun 2025 · 3,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Blockchain-Based System for Developing a Virtual JudgeHayder Abdulsattar Nahi, Noor Hasssan Fadhil, Moatasem Mohammed Saeed, Rusul Abdulkarrem SalmanThe designed judicial system is frequently unavailable to people, it is needed in a long time to process and is expensive. Blockchain technology proposes a potential explanation for these cases by facilitating the construction of a virtual judge that can automate considerable dispute resolution processes. This study suggests utilizing blockchain technology with Network Function Virtualization (NFV) to create a virtual … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 5,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermining Causes of Gully Erosion and Associated Rates of Change in South-East Nigeria, using a Remote Sensing and GIS MethodologySylvanus IroThe study of gully development on a regional scale is currently threatened by the intrinsic costs associated with steady field tracking and monitoring and the lack of historic measurements to perform time series analysis. The research objective is to develop a low-cost GIS and Remote Sensing methodology for monitoring and quantifying gully erosion and development over time, identifying the impact … …American Journal of Environmental Sciences, Vol. 16, Issue 5 · 22 Oct 2020 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty Analysis of Time of Concentration Equations based on First-Order-Analysis (FOA) MethodAsghar AzizianThe time of concentration (Tc) is one the most important time parameters to predict the response of a catchment to a given rainfall and plays a key role in the hydrologic design and rainfall-runoff modeling. There are a huge number of empirical/semi-empirical equations for estimation of Tc and depending on several parameters such as rainfall attributes, topographic and land cover … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 19 Mar 2018 · 9,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Digitization of Engineering Diagrams using Intelligent AlgorithmsPremanand Ghadekar, Shaunak Joshi, Debabrata Swain et al.At present usage of computational intelligence became the ultimate need of the heavy engineering industries. Digitization can be achieved in these sectors by scanning the hard copy images. When older documents are digitized are not of very high fidelity and therefore the accuracy, reliability of the estimates of components such as equipment and materials after digitization are remarkably low since … …Journal of Computer Science, Vol. 17, Issue 9 · 28 Sep 2021 · 7,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractContinuous Wavelet Transform Based Spectral Decomposition of 3d Seismic Data for Reservoir Characterization in Oyi Field, se Niger DeltaChukwuemeka Ngozi Ehirim, Andifon Sylvester AkpanContinuous Wavelet Transform (CWT) is one of the most used wavelet transform based spectral decomposition methods in the direct detection of hydrocarbons and as an indicator of stratigraphic variability due to its optimal time-frequency resolution and variable time window requirements. CWT based spectral decomposition was applied on a 3D Post Stack Time Migrated (PSTM) seismic data acquired over a producing … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 28 Apr 2017 · 7,791 accessesView PDFCite