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Meta-heuristic-based offloading task optimization in mobile edge computing
Published 2021-06-01Get full text
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Clustering approach for crack detection in GPR data: Influence of infilling material on detectability
Published 2025-07-01Get full text
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2604
Cumulative confidence-driven task offloading for object detection in maritime Internet of Things
Published 2025-07-01Get full text
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2605
Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data
Published 2025-07-01“…Several supervised and unsupervised machine learning methods and applications integrate a wide variety of algorithms that aim at the efficient recognition of patterns and similarities and the ability to make accurate and assertive decisions. …”
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Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars
Published 2024-12-01“…The variance inflation factor (VIF) of the wrapper feature selection approach with decision tree classification algorithm yields 99.63% accuracy and 4.3% error rate compared to other classification algorithms and wrapper feature selection techniques.…”
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Eulerian Oil Spills Model Using Finite-Volume Method with Moving Boundary and Wet-Dry Fronts
Published 2012-01-01“…The world production of crude oil is about 3 billion tons per year. The overall objective of the model in present study is supporting the decision makers in planning and conducting preventive and emergency interventions. …”
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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers
Published 2025-07-01“…Then, the Fruit Fly Optimization Algorithm (FOA) was employed to assign optimal weights to the pseudolabeled data. …”
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Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients
Published 2025-06-01“…However, existing prediction frameworks exhibit limitations in elucidating the relative importance of risk factors, thereby impeding precise clinical decision-making and individualized patient management.ObjectiveTo evaluate the performance of six ensemble classification algorithms and three single classification algorithms in predicting MDR-BP risk factors among neurosurgical postoperative critically ill patients, identify the optimal predictive model, and determine key influential factors.MethodsWe conducted a retrospective study involving 750 neurosurgical patients admitted to a neurosurgery center at a tertiary hospital in Beijing between January 2020 and December 2023. …”
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Maintenance Scheduling Strategy for MMCs Within an MVDC System Using Sensitivity Analysis
Published 2024-01-01Get full text
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Priority Selection Within National Innovation Strategy in Global Context
Published 2017-08-01Get full text
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An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance
Published 2025-08-01“…In addition, the study area's hydro-chemical facies were examined, and machine learning models’ hyperparameters such as Random Forest (RF), Borda Scoring Algorithm (BSA), Decision Tree (DT), Multilayer Perception (MLP), and Naïve Bayes (NB), were executed before, to training and testing the samples of surface water. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing
Published 2025-06-01Get full text
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model
Published 2025-01-01Get full text
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Dynamic Capacitated Arc Routing Problem in E-Bike Sharing System: A Monte Carlo Tree Search Approach
Published 2021-01-01Get full text
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