Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …

Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …

The electroencephalogram (EEG), for measuring the electrophysiological activity of the
brain, has been widely applied in automatic detection of epilepsy seizures. Various EEG …

Background Developing effective and generalizable predictive models is critical for disease
prediction and clinical decision-making, often requiring diverse samples to mitigate …

Abstract The East China Sea (ECS) is seriously impacted by harmful algal blooms (HABs).
Therefore, early assessments of HAB risk in this area are extremely important. Using long …

Rice blast is a disease that causes major damage in nearly all rice-growing countries.
Forecasting systems are one way to control the disease in its early stage, helping to prevent …

This research aims to improve quality indicators in solving classification and regression
problems based on the adaptive selection of various machine learning models on separate …

This paper presents a context-aware adaptive assembly assistance system meant to support
factory workers by embedding predictive capabilities. The research is focused on the …

Coding deliverables are vital part of the software project. Teams are formed to develop a
software project in a term. The performance of the team for each milestone results in the …

In the last years monitor the health status of the people has become a one of the major IoT
research filed application. Many works and proposal are been presented in literature, some …