Accurate detection of possible machine failure allows manufacturers to identify potential fault
situations in processes to avoid downtimes caused by unexpected tool wear or …

In this paper, a robust power management system (RPMS) for a DC microgrid is proposed. A
novel neural network-based scheme is proposed for the PV cells' generation prediction …

Electricity network operators undertake important responsibilities such as balancing
electricity demand and supply, minimizing power outages, and making the necessary …

This task introduces a novel demand forecasting method using concatenated Convolutional
Neural Network (CNN) with an Adaptive Network-based Fuzzy Inference System (ANFIS) …

Wind energy exhibits strong fluctuations and intermittencies. The accurate prediction of wind
speed is of considerable significance for the operation and maintenance of wind farms and …

Impact loads affect the operational performance and safety life of rolling equipment's
connecting-shaft rotor system, even causing faults and accidents. Therefore, recognizing …

The widespread use of the internet, combined with the prevalence of cybersecurity threats
such as botnets, has resulted in significant economic losses for manufacturing enterprises …

Acute Respiratory infections are a disease that is quite widely suffered throughout the world,
moreover, every year in the world 13 million children under 5 years old die 95% of them are …

Klasifikasi merupakan masalah penting dalam dunia ilmu data, dimana model dibangun
untuk memprediksi label atau kelas pada suatu data berdasarkan fitur-fitur yang dimilikinya …

Storage is one of the most important issues of the last decades. In particular, storage
systems are needed in order to benefit more effectively from renewable energy systems …