The flash-flood early-warning research was published in Sensors, an international journal indexed in SCIE and Scopus and ranked Q1 by CiteScore.
A research paper involving a SaiJai Tech Co., Ltd. executive, titled “Development of an AIoT-Based Early Flash-Flood Warning System for Smart Rural Disaster Resilience,” was officially published in the international journal Sensors on June 2, 2026.
Sensors is a peer-reviewed, open-access journal indexed in the Science Citation Index Expanded (SCIE) and Scopus. According to the journal’s latest official statistics, it has an Impact Factor of 4.0, a CiteScore of 9.4, and a Q1 CiteScore ranking in the Instrumentation category.
Authored by Visit Wiangnak, Montri Wiboonrat, and Sarun Duangsuwan, the paper presents a real-time flash-flood monitoring and early-warning system that combines field-sensor data with camera imagery to assess emerging risks and deliver alerts to relevant users.
The system was deployed and evaluated under real-world conditions. Its purpose is to help residents, community leaders, and responsible agencies access information earlier, improve preparedness, and make informed decisions before conditions become critical.
Publication in an internationally indexed journal allows specialists worldwide to review the research, exchange perspectives, and build upon its findings. It also provides an academic foundation for improving the system and supporting its future expansion.
SaiJai Tech remains focused on connecting research with practical solutions that improve access to timely risk information and strengthen community disaster preparedness.
