In recent years, researchers have paid attention to algorithms inspired by nature where
these algorithms have proven their efficiency in solving many optimization problems …

Deep learning is a branch of machine learning that focuses on the development and
refinement of complex neural networks for data analysis, prediction, and decision-making …

Alzheimer's disease (AD) is a brain disease that significantly declines a person's ability to
remember and behave normally. By applying several approaches to distinguish between …

Artificial intelligence techniques and computer vision techniques dealt with the issue of
automatic license plate recognition (ALPR) that has many applications in important research …

Path planning is a key challenge in the study of autonomous mobile robots. This paper
describes a new bio-inspired optimization method known as the Red Fox Optimization …

Computer vision deals with image-based problems, such as deep learning, classification,
and object detection. This study classifies the quality of dairy parents into three, namely high …

As soon as students enter the university campus, from morning until evening, it is crucial to
pay attention to where they are. As a result, students will use various campus buildings …

Blind people present dificulties for reaching objects of interest in the daily life. In this sense,
the integration of a path planning module for assisting blind people in purposeful navigation …

Real-time indoor camera localization is a significant problem in indoor robot navigation and
surveillance systems. The scene can change during the image sequence and plays a vital …

Simultaneously and location mapping (SLAM) is an important technique for achieving a full
autonomous navigation system by constructing a 2D map of the surrounding environment. A …