Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading

Corrosion classification through deep learning of electrochemical noise time-frequency transient information

Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India

Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance

Predictive machine learning in earth pressure balanced tunnelling for main drive torque estimation of tunnel boring machines

Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe

A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going

A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles

Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management

Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models

Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy

Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Using Radiomics

A machine learning architecture for including wave breaking in envelope-type wave models

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study

Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques

Physics enhanced sparse identification of dynamical systems with discontinuous nonlinearities

Automated model discovery for human cardiac tissue: Discovering the best model and parameters

Toward Sociotechnical AI: Mapping Vulnerabilities for Machine Learning in Context

Machine learning in process systems engineering: Challenges and opportunities

Cloud-based battery failure prediction and early warning using multi-source signals and machine learning