Advancing deep learning for expressive music composition and performance modeling
AI-driven music generation and transcription apply the deep learning approach in their operations. The research presents information about dataset preparation...
modeling
A machine learning approach for corrosion rate modeling in Patna water distribution network of Bihar
Physicochemical parameters analysisThe results of the statistical analysis of the physicochemical parameters are shown in Table 1. The water distribution...
Machine Learning Methods for Modeling in Psychology
In this workshop, we will introduce the basics of machine learning (ML) modeling with a specific focus on applications in...
Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods
Modeling backgroundIn this part, the description of each machine learning algorithm utilized in the current study is put forward.Decision treeDecision...
Hybrid bagging and boosting with SHAP based feature selection for enhanced predictive modeling in intrusion detection systems
The result section demonstrates the proposed model’s efficacy in predicting reasonably accurate outcomes across various test scenarios. Key performance metrics,...
