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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization
Published 2025-01-01Subjects: “…Bayesian network…”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
Published 2021-12-01Subjects: “…Particle Swarm Optimization, Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks.…”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter
Published 2022-10-01“…Penelitian ini menggabungkan kinerja berbagai algoritma/experts seraya mengurangi tingkat kesalahan klasifikasi dengan meng-update bobot secara dinamis menggunakan weighted majority vote (WMV) berbasis joint distribution dari Bayesian Network. Pada tahap pertama, data di grabbing dari Twitter dengan 3 hashtag terkait Covid-19 sebagai data eksperimen. …”
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Temporal and Spatial Distribution Characteristics of NOx Emissions of City Buses on Real Road Based on Spatial Autocorrelation
Published 2021-02-01“…To fill the data gaps and produce a complete data set, we combined Bayesian network modeling and probabilistic inference. …”
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A Network Meta-Analysis to Compare Effectiveness of Baricitinib and Other Treatments in Rheumatoid Arthritis Patients with Inadequate Response to Methotrexate
Published 2020-04-01“…**Methods:** A systematic literature review was conducted to identify randomized controlled trials (RCTs) of the interventions of interest. Bayesian network meta-analyses (NMA) were used to compare American College of Rheumatology (ACR) responses at 24 weeks. …”
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Network Meta-Analysis of Once Weekly Selinexor-Bortezomib-Dexamethasone in Previously Treated Multiple Myeloma
Published 2021-08-01“…**Objectives:** A Bayesian network meta-analysis (NMA) was developed from studies identified from a systematic literature review (SLR) to evaluate the efficacy of once weekly oral selinexor with once weekly bortezomib and low-dose dexamethasone (XVd) relative to other therapies in previously treated MM. …”
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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods
Published 2025-02-01“…Furthermore, ML algorithms such as Artificial Neural Networks (ANN), Bayesian networks, Random Forest (RF), Support Vector Machine (SVM), LSBoost, and Linear Regression (LR) were employed to estimate MMP. …”
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