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117 articles for “Systematic Approach”

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Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Routing Approach Comparison with AODV Protocol Regarding Speed for Disaster Management in MANETAbdul Majid Soomro, Mohd Farhan Bin Fudzee, Muzamil Hussain, Hafiz Muhammad SaimThe Mobile Ad-hoc Network (MANET) is a wireless, systematic, autonomous network that can be used in various situations without the need for central control. A disaster is a sudden event that disrupts normal activities. MANET can play an important role in a disaster situation. Situations where normal communication is already interrupted. The MANET route discovery is one of the most … …Journal of Computer Science, Vol. 18, Issue 3 · 26 Mar 2022 · 6,418 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 924 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022Deo Alif Alfitrah, Nilo LeegowoThe growing number of cyber-attacks targeting the healthcare sector, particularly Indonesian regional government hospitals, reflects the absence of a structured information security management system. Issues such as shared account usage, lack of staff security training, and undocumented incident reporting present serious risks to patient data. This study aims to assess the current state of information security in a government hospital … …Journal of Computer Science, Vol. 22, Issue 3 · 13 Mar 2026 · 2,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation ValidationRavi Varma B., N. Suresh Babu, Santhosh Kumar K. P., Shailesh SivanReal number codes play a crucial role in correcting errors within communication systems that involve the transmission of analog signals or continuous data. Among these codes, Maximum Distance Separable (MDS) codes stand out as highly efficient for error correction. The present research paper is on the construction of a class of real number MDS codes for any desired dimension. The … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Feb 2026 · 1,353 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic-Based Quantification of Usability Expectation for M-Commerce Mobile Application by Using GQM and ISO 9241-11Manish Mishra, Reena DadhichFuzzy logic-based quantification of usability expectation for an m-commerce mobile application is a process of measuring the usability of a mobile application by using fuzzy logic principles. The usability of any mobile application is used to find out the user experience of the mobile application by analyzing the user's expectations and preferences. Fuzzy logic always be the optimal choice for … …Journal of Computer Science, Vol. 20, Issue 1 · 24 Nov 2023 · 6,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractMapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation MethodsAli Zahraei, Saeid Eslamian, Ali Saeidi Rizi et al.The spatial distribution of daily, nightly and mean temperature trend in Iran′s Zayanderud river basin was carried out in this study by applying three approaches of interpolation including Inverse Distance Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical measures including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 26 Jun 2019 · 7,479 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,075 accessesView PDFCite
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 · 4,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for the Development and Governance of Strategies Promoting Sustainable Economic GrowthMhamed Serdaoui, Mounia CherkaouiDespite the increasing emphasis on sustainable economic growth, current literature reveals significant fragmentation in approaches and frameworks, often addressing only individual aspects such as environmental, social, governance, economic, or digital factors without integrating them into a cohesive strategy. This lack of a unified framework contributes to the ambiguity and challenges in formulating and implementing effective sustainable economic growth strategies. To … …Journal of Computer Science, Vol. 20, Issue 12 · 21 Nov 2024 · 4,550 accessesView PDFCite