The time-series forecasting is a vital area that motivates continuous investigate areas of
intrigued for different applications. A critical step for the time-series forecasting is the right …

This article introduces a carefully-engineered forecasting methodology for day-ahead
electric power load forecasts evaluated using the European Network of Transmission …

The rapid development in computer network and internet have resulted in increased
corresponding data and network attacks. Many novels and improvement technologies have …

Proactive diagnosis of spacecraft issues and response to conceivable hazards has attracted
considerable interest. Hidden anomalies in satellites can cause overall system degradation …

Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease Page 1 Information
Technology and Control 2022/1/51 158 Dual-Layer Deep Ensemble Techniques for …

In the electricity market, the accuracy of electricity price forecasting is significant for real-time
control; however, the complexity and volatility of electricity prices make this a challenge …

Intrusion Detection Systems (IDS) are one of the major research application problems in the
computer security domain. With the increasing number of advanced network attacks, the …

The aim of this study was to predict the missing data of PM 10 for the city of Zabol using
various traditional learning methods, Lazy Learning, and Ensemble Learning. In this study …

Breast cancer is one of the leading causes of death among women worldwide. In most
cases, the misinterpretation of medical diagnosis plays a vital role in increased fatality rates …

In education, machine learning (ML), especially deep learning (DL) in recent years, has
been extensively used to improve both teaching and learning. Despite the rapid …