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236 results for “Data loss”

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Research ArticleOpen accessIn the abstractDesign and Construction of a Smart Meter with Embedded Web PortalDavid Mike-Ewewie, Ayodele Ifijeh, Victoria Oguntosin et al.The absence of the necessary infrastructure to make an accurate and precise collection of data when compared to the first-world countries in the power industry is great. Due to that, the need for the deployment of smart meters has increased in order to offer consumers and customers awareness of their electricity usage, helping them lower their total energy footprint. In … …Journal of Computer Science, Vol. 20, Issue 8 · 14 Jun 2024 · 5,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 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
Research ArticleOpen accessIn the abstractCost-Efficient Deadline Constrained Scientific Workflow Scheduling in Infrastructure-as-a-Service Clouds by Disqualifying Tasks with AnomaliesAnver Shahabdeen Rahumath, Santhosh Rajendran, Natarajan Mohanasundaram, Abdul Rahiman MalangaiCloud computing has transformed the way businesses and consumers think about their data and businesses. As a result, cloud computing is described as the on-demand availability of all computer system resources via the Internet as a paid service. Enhancing security is a major problem in cloud computing, which is also a major research topic because data is stored and processed … …Journal of Computer Science, Vol. 18, Issue 6 · 27 Jun 2022 · 5,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Secured Blockchain-based Information-Centric NetworkAbdelrahman Sheham Abdellah, Sherif Saif, Hesham E. ElDeeb et al.In this study, we propose an Information-Centric Network (ICN) approach for the Internet as an alternative to the present host-centric architecture. The proposed approach solves present Internet challenges, where most Internet users nowadays are involved in seeking knowledge by searching through large amounts of data, independent of the data's physical locations and these users usually have requests that need prompt … …Journal of Computer Science, Vol. 18, Issue 4 · 17 Apr 2022 · 6,239 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractPatient Data Integration: A Panacea for Effective HealthcareHenry Anayo Okemiri, Alo Uzoma Rita, Achi Ifeany Isaiah et al.A huge challenge in the healthcare domain has remained the spread and proliferation of fragmented information systems and multiplicity of data that accumulate from growing quantities of heterogeneous data of patient. This challenge must be addressed as the whole domain gradually transforms into models of delivery of healthcare that is electronic and patient-centered. The presence of inadequate data integration at … …Journal of Computer Science, Vol. 16, Issue 2 · 22 Feb 2020 · 7,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis and Design of Protocol for the Reconstruction of Computer Field Model Using Dron and PhotogrammetryBoris Tunjić, Andrija Bernik, Andrej ČepOne of the main challenges in aerial photogrammetry is the lack of standardization in the process of data integration, which is the first step in 3D reconstruction. This study analyses the influence of the distance from the camera to the subject of the recording, the influence of different overlap percentages in photography as well as the difference between the three … …Journal of Computer Science, Vol. 19, Issue 12 · 15 Nov 2023 · 5,031 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman Synergy Based Analysis to Control of Rehabilitation Robot for Adaptive AssistanceGyanendra Nath TripathiAdaptive assistance is needed to support mobility of disabled person due to weakened muscles and loss of joint control. Assistive robot requires coordinated motion trajectory of its joint, similar to human joint trajectory. A robot trajectory planning mechanism, based on comparative analysis between robot trajectory and human joint trajectory data is important to find coordinated trajectory for assistive robot joint. … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 8 Oct 2025 · 3,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline Handwritten Physics Expression Recognition Using a CRNN-LSTM ApproachUjwala Pritam Kolte, Sachin Arun NaikOptical Character Recognition (OCR) is crucial for identifying and extracting information from scientific documents. However, recognizing online handwritten physics expressions remains a relatively unexplored area of research. In the existing literature, most of the researchers worked on CNN classification to identify mathematical expressions. The traditional Convolution Neural Network (CNN) has limitations for extracting sequential data. This study proposes a CRNN … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,812 accessesView PDFCite