Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …

Zinc air batteries (ZABs) are gaining popularity as a viable substitute for lithium‐based
batteries in recent years because of their availability of raw materials, high energy density …

Background Risk-based screening for lung cancer is currently being considered in several
countries; however, the optimal approach to determine eligibility remains unclear. Ensemble …

The spatial structural features and compositional relationships of multivariate geochemicals
are influenced by complex geological processes (eg, diagenesis and mineralization), and …

Breast cancer is the second most deadly type of cancer globally among women and can be
prevented to a great extent in the case of early detection. In order to raise the survival rate …

Breast cancer is the second fatal disease among cancers patients both in Canada and
across the globe. However, when detected early, a patients' survival rate can be raised …

Endoscopic ultrasound (EUS) effectively diagnoses malignant and pre-malignant
gastrointestinal lesions. In the past few years, artificial intelligence (AI) has shown promising …

Aming at the problem that the basic model has unstable performance in different network
dataset, and the ensemble model will greatly increase the training time and testing time …

Outlier detection is a key field of machine learning for identifying abnormal data objects. Due
to the high expense of acquiring ground truth, unsupervised models are often chosen in …

Machine learning ensembles combine multiple base models to produce a more accurate
output. They can be applied to a range of machine learning problems, including anomaly …