Search Strings, Screening Log, Quality Appraisal, and Extraction Template for a Systematic Review of On-Node Machine Learning in WSNs for Asset Integrity

Supplementary material for D. B. Paus and J. P. T. Cruz, “On-Node Machine Learning in Wireless Sensor Networks for Asset Integrity: A Systematic Review of Edge-AI Architectures,” accepted at the IEEE 2026 8th Computing, Communications and IoT Applications Conference (ComComAp 2026). The record contains the exact IEEE Xplore and Scopus search strings (searched August 23, 2026), the screening log of all 509 unique records with the 105 removed duplicates and the recorded exclusion reasons, the quality-appraisal rubric and scores of the 18 included studies with an evidence note per score, and the data-extraction template with the extracted data of the 18 studies. See README.md for details.