Kebutuhan manusia dalam memenuhi sandang, pangan dan papan pada kehidupannya
saat ini tidak terlepas dari terlibatnya energi listrik. Pada beberapa sektor kehidupan, yaitu …

A survival dataset describes a set of instances (eg patients) and provides, for each, either
the time until an event (eg death), or the censoring time (eg when lost to follow-up-which is a …

Industrial machinery is a significant energy consumer, and its emissions have increased
dramatically in recent years. Therefore, energy efficiency is becoming crucial for businesses …

Feature selection techniques in prediction play a role in manufacturing industries of late.
However, it is very challenging to achieve an optimal subset of features as well as …

Recent years have seen a rise in demonstrations of the Industrial Internet of Things (IIoT).
Creating secure Internet of Things (IIoT) applications has become a major challenge …

Saving electrical energy consumption in industries is crucial; hence, the prediction of
industrial energy consumption needs to be performed. The random forest method can be …

The Industrial Internet of Things (IIoT) has been growing for presentations in industry in
recent years. Security for the IIoT has unavoidably become a problem in terms of creating …

Predicting energy usage in the steel manufacturing industry is essential for improving
energy efficiency, reducing costs, meeting environmental regulations, and promoting …

Sažetak In the Internet of Things (IoT) technologies, wireless sensor networks (WSNs) are
one essential part. The IoT network commonly consists of WSNs, where hundreds or even …

This work contributes with a new approach for tuning hyperparameters of machine learning
models, based on sequences of optimization studies based on an initial range of …