The modern bug bounty landscape presents a dual challenge: the volume of attack surface across large programs is vast and continuously evolving, while the depth of expertise required to identify sophisticated vulnerabilities demands specialized knowledge across multiple security domains. Traditional approaches — manual penetration testing, monolithic vulnerability scanners, and single-model machine learning systems — struggle to simultaneously achieve breadth of coverage and depth of analysis.
These are multimodal dataset objects and trained model parameters used in the study. The files are organized in pairs, where each multimodal dataset (.h5mu file) corresponds to a trained model parameter file (.pt) generated using the MIMA (Multimodal Integration with Modality-agn…
This repository contains the supplementary materials associated with the article: “Beyond Grades: Multi-Target Deep Learning for Early Academic Risk Detection” The materials support the transparency, reproducibility, interpretability, and pedagogical analysis of the leakage-free…
# Land Subsidence Susceptibility Mapping and Screening-Level Relative Sea Level Change Scenarios for the Nigerian Coastal Zone Analysis code and derived data layers for the manuscript: > Ugwu, O. J., Njoku, R. E., Ahuchaogu, E. U., \& Uzoeshi, S. M. (2026).> \*Land Subsidence Sus…
A Single-Token Sensor Substrate for Industrial Condition Monitoring: Fault Classification at Classifier Parity, Free Anomaly and Remaining-Useful-Life Signals, and Multi-Task Decoding at 2,000–4,000× Compression Randolph James Ferlic, M.D., and Kimberly Kate Ferlic · Fieldstone A…