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4 articles for “divide and query”
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Unsupervised Probabilistic Debugging
Abstract: We presented an unsupervised probabilistic approach for the debugging of the programs; where the focus is on diagnosing the wrong answers based on the proposed unsupervised semantic parsing algorithm. This approach can be implemented over other programming language. The parsing of the test cases are heuristically employed with the proposed parsing algorithm which reduces the computational complexity and rationally give better performing algorithms.
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 13–15 Read article
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Greenhouse Automation
Abstract: The demand has been increasing in the automation sector, to successfully nurture and grow a plant yield. The most important thing here is to moniter the plants during their growth cycle. In this system image processing is used to monitor the disease on leaf after the image of the infected leaf is captured by a robot. For the classification purpose convolutional neural network is used. It can work with a …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 2, 2020 · pp. 14–18 Read article
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Clustering the Data in Search Engines
Abstract: AbstractContents of the internet is rapidly growing day by day. To reach the information we search on the internet, we're using internet search engines, which can return millions of search results depends on the query. Finding the information needed on the search results can be a massive problem. Search result clustering is a useful operation to solve this problem. In this paper, results taken from search engines divided into a …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 1–5 Read article