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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms
Published 2025-04-01“…To further validate the effectiveness of RSM, the results are compared with the performance of several advance machine learning algorithms, including linear regression, decision tree, and random forest. …”
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Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection
Published 2025-07-01“…To improve the accuracy of the weed classification system and to overcome the shortcomings of single-sensor-based classification from CNN, an improved Dempster–Shafer (DS)-based decision-level multi-sensor fusion algorithm was developed and implemented. …”
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Barriers and enablers of using a clinical decision support algorithm to consult sick children at primary health facilities: A qualitative study from Uttar Pradesh, India
Published 2025-07-01“…Objective was to explore barriers and enablers experienced by HCPs using a digital clinical decision support algorithm (CDSA) for consultation of sick under-five children at primary healthcare facilities in Uttar Pradesh, India. …”
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Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study
Published 2025-07-01“…To better diagnose individuals at risk of postpartum complications, predictive models utilizing data mining and machine learning techniques can be instrumental. The C4.5 decision tree algorithm effectively analyzes multiple variables to identify key relationships. …”
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MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats
Published 2025-04-01“…To improve the global search efficiency and dynamic adaptability of the Sand Cat Swarm Optimization (SCSO) algorithm for UAV path planning in complex 3D environments, this study proposes a Modified Sand Cat Swarm Optimization (MSCSO) algorithm by integrating chaotic mapping initialization, Lévy flight–Metropolis hybrid exploration mechanisms, simulated annealing–particle swarm hybrid exploitation strategies, and elite mutation techniques. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games
Published 2025-01-01“…To this end, we propose a contextual bandit algorithm that uses a small set of variables, selected based on domain expertise, to guide monitoring decisions. …”
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Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning
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Assessing psychological resilience and its influencing factors in the MSM population by machine learning
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Predicting Online Learners’ Performance Through Ontologies: A Systematic Literature Review
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