Nature

Ensemble agent based machine learning approach for energy efficient attack detection and prevention in MANETs

Mobile Ad hoc Networks (MANETs) represent a decentralized and self-tuning network paradigm that relies on routing protocols to transmit data from source to destination. However, the absence of a fixed ...
Nature

A stacking ensemble machine learning model for predicting postoperative axial pain intensity in patients with degenerative cervical myelopathy

Machine learning (ML) has been extensively utilized to predict complications associated with various diseases. This study aimed to develop ML-based classifiers employing a stacking ensemble strategy ...
pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...