This study provides a comprehensive and fresh review of load frequency control (LFC) in
multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep …

Artificial intelligence (AI) refers to computer systems doing tasks that usually need human
intelligence. AI is constantly changing and is revolutionizing the healthcare field, including …

Deep learning techniques have drawn considerable interest in emotion recognition due to
recent technological developments in healthcare analytics. Automatic patient emotion …

In recent years, the enormous development of Machine Learning, especially Deep Learning,
has led to the widespread adoption of Artificial Intelligence (AI) systems in a large variety of …

This paper presents a novel deep graph-based learning technique for speech emotion
recognition which has been specifically tailored for energy efficient deployment within …

Recently, facial expression recognition (FER) methods have achieved significant progress.
However, FER is still challenged by factors such as uneven illumination and low-quality …

Abstract People with Parkinson's Disease (PwPD) usually experience several
neuropsychiatric signs such as anxiety, depression, and negative emotions that contribute to …

Efficient energy management in residential environments is a constant challenge, in which
Home Energy Management Systems (HEMS) play an essential role in optimizing …

The presented scientific article is a comprehensive study of machine learning and deep
learning methods in the context of emotion recognition in text data. The main goal of the …

Federated Learning (FL) enabled edge computing has been widely used in training complex
deep learning models by coordinating various heterogeneous resources in Industrial …