Metaverses embedded in our lives create virtual experiences inside of the physical world.
Moving towards metaverses in aircraft maintenance, mixed reality (MR) creates enormous …

Object detection is a crucial task in computer vision systems with a wide range of
applications in autonomous driving, medical imaging, retail, security, face recognition …

In the emerging world of metaverses, it is essential for speech communication systems to be
aware of context to interact with virtual assets in the 3D world. This paper proposes the …

Intelligent machines have grown in importance in recent years in object recognition in terms
of their ability to envision, comprehend, and reach decisions. There are a lot of complicated …

It is not always possible to find enough data for deep learning studies. So, various data
augmentation techniques have been developed and thus the success of deep learning …

Emotion recognition is crucial in artificial intelligence, particularly in the domain of human–
computer interaction. The ability to accurately discern and interpret emotions plays a critical …

Voice recognition systems mostly suffer from environmental effects and accent differences.
Therefore, studies on speech recognition have begun to be examined using deep learning …

This work investigates surrogate modeling techniques for learning to approximate a
computationally expensive function evaluation of 3D models. While in the past, 3D point …

Preprocessing pipelines in deep learning aim to provide sufficient data throughput to keep
the training processes busy. Maximizing resource utilization is becoming more challenging …

Audio classification aims at recognizing audio signals, including speech commands or
sound events. However, current audio classifiers are susceptible to perturbations and …