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#explainable ai Open access Oct 2026

Feature-Driven Framework for Interpretable Detection and Analysis of Android Malware Through Network and Application Behaviors

This paper presents a complete framework for feature-driven Android malware detection that combines predictive modeling with explainable artificial intelligence to improve classification accuracy, interpretability, and operational dependability. The system initiates by examining network-flow metrics, including Source P...

Chao Tan, Xin-Lu Li · 0 citations
Sep 2026

Multiplexed Detection of Foodborne Pathogens and the Antibiotic Resistance Genes Based on the CRISPR/Cas System with Engineered LwaCas13a.

Foodborne pathogens represent a persistent threat to global public health, necessitating the development of point-of-care testing (POCT) platforms that integrate rapidity, ultrahigh sensitivity, cost effectiveness, and operational simplicity. Herein, we developed a system for high-specificity identification of foodborn...

Xin-Lu Li, Yi-Chun Li, S. Sun et al. · 0 citations

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