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Active learning (AL) has not received much attention in deep learning (DL) for human pose estimation. In this paper, a practical hybrid active learning strategy is proposed for training a human pose estimation model, and ...

Millions of people experience mental health issues each year, increasing the necessity for health-related services. One emerging technology with the potential to help address the resulting shortage in health care providers ...

Nowadays, artificial intelligence (AI) is becoming a more effective digital domain promised to facilitate immediate access to information and effective decision making in ever-increasing business environments. While big ...

The increasing importance of artificial intelligence (AI) in everyday work also means that new insights into team collaboration must be gained. It is important to research how changes in team composition affect joint work, ...

Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct ...

The next-generation digital revolution is anticipated to be the convergence of Consumer Internet of Things (CIoT) platforms and Metaverse. The use of Metaverse in CIoT can offer a hyper-spatiotemporal, self-sustaining 3D ...

The application of artificial intelligence (AI) in decision-making is regarded as the most impactful disruption in an organization’s digitalization. However, the benefits of the algorithmic decision can be leveraged only ...

As a self-supervised learning technique, contrastive learning is an effective way to learn rich and discriminative representations from data. In this study, we propose a variational autoencoder (VAE) based approach to apply ...