Challenges in Detecting Security Threats in WoT: A Systematic Literature Review

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
security threats   WoT   DoS attacks   deep learning   intrusion detection systems   systematic literature review   IoT  

With the rapid development of the Internet of Things (IoT) and Web of Things (WoT), security issues have become increasingly prominent. In particular, the frequent occurrence of Denial of Service (DoS) attacks has made the security of WoT systems an urgent problem to be addressed. WoT achieves seamless connectivity between IoT devices and the inter...

Deep Learning-Based Multi-Modal Data Integration Enhancing Breast Cancer Disease-Free Survival Prediction

Information Science, Computer Science, Artificial Intelligence, Medicine, Oncology,
breast cancer   multi-modality   deep learning   pathological   disease-free survival  

Breast cancer is one of the most common malignancies among women worldwide. Although early intervention and appropriate treatment have significantly improved patient survival rates, approximately 30% of cases still experience recurrence and distant metastasis, resulting in a 5-year survival rate of less than 23%. Traditional clinical prediction met...

Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Life Sciences, Bioengineering, Genetics,
non-coding RNA   multi-modal learning   deep learning   classification   annotation   bioinformatics   interpretability  

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...

DeepES: Deep Learning-Based Enzyme Screening for Identifying Orphan Enzyme Genes

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering,
deep learning   enzyme screening   orphan enzymes   biosynthetic gene clusters   human gut microbiota  

Academic Background With the rapid advancement of sequencing technology, scientists have been able to obtain a vast amount of protein sequence data, including many enzyme sequences. However, despite the establishment of large enzyme databases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG) and BRENDA, sequence information for many enzyme...

CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers

Information Science, Computer Science, Artificial Intelligence, Life Sciences, Biochemistry, Bioengineering, Biophysics,
Cryo-EM   density map enhancement   Transformer   deep learning   protein structure   image processing   bioinformatics  

Academic Background Cryogenic Electron Microscopy (Cryo-EM) is a crucial experimental technique for determining the structures of macromolecules such as proteins. However, the effectiveness of Cryo-EM is often hindered by noise and missing density values caused by experimental conditions such as low contrast and conformational heterogeneity. Althou...