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

Machine learning in process systems engineering: Challenges and opportunities

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

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

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

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

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

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

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

Application of additive manufacturing in vascular self-healing cementitious materials

Modelling of coupled reservoir and wellbore for energy transition

On developers’ practices for hazard diagnosis in machine learning systems

Big slopes, little data: data-driven nowcasting of deep-seated landslide deformation

Individual and joint body movement assessed by wearable sensing as a predictor of attraction in speed dates

Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods