Abstract: File fragment classification is an important step in digital forensics. The most popular method is based on traditional machine learning by extracting features like N-gram, Shannon entropy ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

Genome-wide association and fine-mapping analyses of type 1 diabetes (T1D) identify multiple genetic risk signals. Furthermore, a machine learning model, T1GRS, improves the prediction of T1D in ...

In the fall of 2012, a computer program revolutionized the technology competition and changed how scientists viewed machine vision and processing.

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

A large meta-analysis finds that colorectal cancer leaves a reproducible microbial fingerprint across stool and tumor tissue, raising hopes for future screening research while pointing to dietary ...