Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Frontiers

Benchmarking, Evaluation, and Reproducibility in Earth Observation Machine Learning

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
IEEE

FASTEN: Fuzzy Neural Support Vector Machine for Classification

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...