A large share of traffic accidents is related to driver fatigue. In recent years, many studies
have been organized in order to diagnose and warn drivers. In this research, a new …

Interpretation of neural activity in response to stimulations received from the surrounding
environment is necessary to realize automatic brain decoding. Analyzing the brain …

The problem of precisely estimating the position and orientation of multiple dipoles using
synthetic EEG signals is considered in this paper. After determining a proper forward model …

Accurate classification of tooth development stages from orthopantomograms (OPG) is
crucial for dental diagnosis, treatment planning, age assessment, and forensic applications …

Today, the desire to use renewable energy as a source of clean and available energy in the
grid has increased. Due to the unpredictable behavior of renewable resources, it is …

Frequency control, especially when incorporating distributed generation units such as wind
and solar power plants, is crucial for maintaining grid stability. To address this issue, a study …

This paper aims to provide a model that combines reconfiguration with Unit Commitment
(UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid …

Forecasting plays a vital role in solar power generation and skillfully managing renewable
energy resources. The traditional artificial neural network (ANN) has certain limitations with …

Summary The Internet of Things (IoT) is a new concept in the world of information and
communication technology, and, in recent years, it has gained a lot of attention in research …

Leukemia is a malignant disease that impacts explicitly the blood cells, leading to life-
threatening infections and premature mortality. State-of-the-art machine-enabled …