This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
No audio available for this content. High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, ...
A new Fracture Risk Assessment Tool that includes bone microarchitecture measures outperformed the current tool that uses ...
Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...