The journal Pituitary has highlighted research led by Manel Puig, head of the Endocrine, Thyroid and Obesity Research Group ...

Abstract: While face recognition has progressed with better architectures, loss functions, and datasets, issues like label noise, privacy, and imbalance remain. Synthetic datasets address these ...

Abstract: With the development of deep learning, convolutional neural network is mainstream in face recognition but has two problems: poor recognition accuracy due to neglecting global semantic and ...

Abstract: To accurately track dynamic passengers in the rail transit environment and precisely identify passenger facial features including gender recognition and age estimation, this paper proposes ...

Abstract: The ability to accurately identify and decipher traffic signs is a major obstacle on the road to widespread adoption of autonomous vehicles. While advanced algorithms are constantly evolving ...

Abstract: This paper presents a secure and efficient Multi-Factor Authentication (MFA) system designed for payment applications, addressing vulnerabilities associated with traditional single-factor ...

I’m constantly tracking price cuts across multiple online storefronts to ensure the deals are as good as the retailers say. The rest of the deals team and I dive into each product’s price history ...

Abstract: Facial recognition algorithms are known to exhibit varying performance across different subgroups defined by factors like race and gender. These performance differences have been attributed ...

Abstract: Helicopters have received more and more attention in recent years due to their unique flight characteristics and wide range of applications. Accurate identification of the helicopter’s ...

Abstract: People who are partially or completely deaf are considered hearing impaired or silent. Communication is the primary obstacle they encounter. Sign Language Recognition (SLR) model provides a ...