The most well-known research on driverless vehicles at the moment is connected
autonomous vehicles (CAVs), which reflects the future path for the self driving field. The …

Rapid urbanization and population growth in recent decades have placed significant
pressure on urban cities to rely heavily on underground infrastructure, such as sewers and …

Transmission lines are heavy assets of power systems. Therefore, the rapid and accurate
identification of fault locations is important for power grids' safe and stable operation …

The significance of face recognition technology spans across diverse domains due to its
practical applications. This study introduces an innovative face recognition system that …

While it's true that humans are skilled at recognizing faces, what about computers?
Machinery is transforming conventional human labor in today's technologically sophisticated …

This two-volume set constitutes the refereed proceedings of the First EAI International
Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad …

This article compares the performance of three algorithms for Facial Emotion Recognition
(FER). The algorithms chosen include one machine learning model-SupportVector Machine …

Finding the face of objects is one of the major challenging tasks in many applications
especially finding the thief. Every day, plenty of news comes related to the abovementioned …

Sažetak This paper presents a novel approach for emotion recognition (ER) based on
Electroencephalogram (EEG), Electromyogram (EMG), Electrocardiogram (ECG), and …

Face Recognition (FR) has been widely used in the tracking and identification of individuals.
However, because face images vary depending on expressions, ages, individual locations …