Using machine learning to regulate plant seedling growth  HortidailyRead More

A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations  NatureRead More

Forecasting compressive strength of concrete containing rice husk ash using various machine learning algorithms  NatureRead More

Nonnegative matrix factorization incorporating domain specific constraints for four dimensional scanning transmission electron microscopy  NatureRead More

Enhancing bone cancer detection through optimized pre trained deep learning models and explainable AI using the osteosarcoma tumor assessment dataset  NatureRead More

Machine Learning Enhances Accuracy of Diagnosing Adrenal Lesions Using 18F-FDG PET/CT Imaging  geneonline.comRead More

Architectural optimisation in deep neural networks. Tests of a theoretically inspired method  NatureRead More

The impact of feature combinations on machine learning models for in-hospital mortality prediction  NatureRead More

Hybrid glowworm swarm optimization with recurrent deep learning for fault detection in industrial internet of things environment  NatureRead More

Unsupervised spectra information extraction using physics-informed neural networks in the presence of non-linearities and multi-agent problems  NatureRead More