Search Results - (( its application ((amh algorithm) OR (acs algorithm)) ) OR ( _ application tools algorithm ))*
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The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis
Published 2024“…The findings not only contribute to the academic discourse on defect prediction but also offer practical guidance for real-world application, emphasizing the pivotal role of RF as a tool in enhancing predictive accuracy and reliability.…”
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Artificial intelligence (AI) and its application in architecture design: a thematic review
Published 2025“…The research indicates a growing emphasis on AI in architecture, aiming to improve algorithms, integrate with diverse tools like BIM, and enhance efficiency in design and engineering management to promote building sustainability. …”
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Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Published 2024“…The proposed system outperforms other previously proposed tools in terms of both accuracy and speed.…”
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Corrosion Inhibition Study Of Carboxymethyl Celluloseionic Liquid Via Electrochemical And Machine Learning Technique
Published 2024journal::journal article -
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The largest studentized residual test for bad data identification in state estimation of a power system
Published 2015“…Power system state estimation is a reliable tool used in Energy Management System (EMS) to identify the existence state of the system during its operating hours. …”
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Strategies DACS3 Increasing its Performances
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Embedding Malaysian House Red Ant Behavior into an Ant Colony System
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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Modified ACS centroid memory for data clustering
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An improved ACS algorithm for data clustering
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Applying DACS3 in the Capacitated Vehicle Routing Problem
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Adaptive Traffic Prioritization Algorithm Over Ad Hoc Network Using IEEE 802.11e
Published 2016“…The results obtained show that the proposed APS algorithm can improve the single-AC throughput performance up to 10.82% when compared to static EDCA. …”
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E4ML: Educational Tool for Machine Learning
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Three-dimensional structure of Human Epididymis Protein 4 (HE4): a protein modelling of an ovarian cancer biomarker through in silico approach
Published 2024“…These three servers em-ployed deep learning algorithms, threading templates, and de novomethods, respec-tively. …”
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