Abstract The integration of Deep Learning (DL) algorithms in Autonomous Vehicles (AVs)
has revolutionized their precision in navigating various driving scenarios, ranging from anti …

Accurate daily peak load forecasting (DPLF) is crucial for informed decision-making in
energy management. Deep neural networks (DNNs) are particularly apt for DPLF because …

The Korean film market has been rapidly growing, and the importance of explainable
artificial intelligence (XAI) in the film industry is also increasing. In this highly competitive …

Gait recognition is a non-intrusive method that captures unique walking patterns without
subject cooperation, which has emerged as a promising technique across various fields …

The healthcare data requires accurate disease detection analysis, real-time monitoring, and
advancements to ensure proper treatment for patients. Consequently, Machine Learning …

Biometric recognition has become essential for secure and reliable access control in high-
security systems such as surveillance, law enforcement, and smart cities. While deep …

The fourth industrial revolution is characterized by the ubiquity of cyberspace as well as its
exploitation by criminal elements (hackers) that are ready to compromise cyberspace by …

Object detection in digital images has been implemented in various fields. Object detection
faces challenges, one of which is rotation problems, causing objects to become unknown …

The article describes the results of the research of an information digital model (map) of a
person's gait based on preliminary processing of mobile phone accelerometer signals in …

This paper examines the usage of synthetic intelligence (AI) to broaden photo recognition
structures through neural networks. Strategies along with supervised gaining knowledge …