Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages. - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

Corrections to "Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages". - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

The Application of Artificial Intelligence in Spectrum Management and the Analytics of Frequency Data Using Big Data Technology. - Rathapon Saruthirathanaworakun; Ngoc Thien Le; Thanh Le Truong; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung; Watit Benjapolakul (IEEE Access, 2024)

A Hybrid Prediction Model Integrating Artificial Intelligence and Geospatial Analysis for Disaster Management. - Muhammad Asim Saleem; Watit Benjapolakul; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung (IEEE Access, 2025)

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning. - Muhammad Asim Saleem; Ashir Javeed; Watit Benjapolakul; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung (IEEE Access, 2025)