A Comparison of Random Forest Variable Selection Methods for Regression Modeling of Continuous Outcomes

Information Science, Computer Science, Artificial Intelligence,
Random Forest   Variable Selection   Feature Selection   Regression Modeling   Machine Learning  

Background: The Importance of Variable Selection in Machine Learning Regression Models In recent years, the widespread application of machine learning in the fields of bioinformatics and data science has greatly driven the development of predictive modeling. Random forest (RF) regression, as a commonly used ensemble learning algorithm, has become a...

Artificial Intelligence in Chemical Exchange Saturation Transfer Magnetic Resonance Imaging

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
Artificial Intelligence   Chemical Exchange Saturation Transfer   Magnetic Resonance Imaging   Machine Learning   Medical Image Processing  

Academic Background Chemical Exchange Saturation Transfer (CEST) Magnetic Resonance Imaging (MRI) is an advanced non-invasive imaging technique that provides detailed molecular information about living tissues. CEST MRI works by selectively saturating exchangeable protons of specific metabolites and transferring this saturation to water molecules, ...

A Systematic Survey of Hybrid ML Techniques for Predicting Peak Particle Velocity (PPV) in Open-Cast Mine Blasting Operations

Engineering, Mining and Metallurgical Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence,
Peak Particle Velocity   Machine Learning   Ground Vibration   Air Over Pressure   Flyrock  

Blasting operations in open-cast mines are crucial for mineral extraction but also come with significant environmental and structural risks. The peak particle velocity (PPV) generated during blasting is a key metric for assessing the impact of blasting vibrations on surrounding structures and the environment. Accurate PPV prediction is essential fo...

A Comprehensive Review of Machine Learning Applications for Internet of Nano Things: Challenges and Future Directions

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
Machine Learning   Internet of Nano Things   Data Security   Anomaly Detection   Nanoscale Communication  

Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...

GCLink: A Graph Contrastive Link Prediction Framework for Gene Regulatory Network Inference

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering, Genetics,
Gene Regulatory Networks   Single-cell RNA Sequencing   Graph Contrastive Learning   Link Prediction   Machine Learning  

Research Background Gene Regulatory Networks (GRNs) are crucial tools for understanding the complex biological processes within cells. They reveal the interactions between Transcription Factors (TFs) and target genes, thereby controlling gene transcription and regulating cellular behavior. With the advancement of single-cell RNA sequencing (scRNA-s...