Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...
ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...
1 Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, ...
We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...
The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
By borrowing knowledge and applying it locally, it makes accurate flood prediction more widely available. "Our goal was to create an efficient transfer learning method that leverages pre-trained deep ...
Objectives: Accurate segmentation of craniomaxillofacial (CMF) structures and individual teeth is essential for advancing computer-assisted CMF surgery. This study developed CMF-ELSeg, a novel fully ...
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