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Waste Management (New York, N.Y.)|October 28, 2025
Advancing biomedical waste classification through a hybrid ensemble of deep Learning, reinforcement Learning, and differential evolution algorithmsSurajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, et al.Artificial Intelligence in Medicine|December 4, 2025
QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imagingChutchai Kaewta, Rapeepan Pitakaso, Surajet Khonjun, et al.Waste Management (New York, N.Y.)|May 12, 2024
Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classificationRapeepan Pitakaso, Thanatkij Srichok, Surajet Khonjun, et al.Pharmaceuticals (Basel, Switzerland)|January 21, 2023
Drug-Resistant Tuberculosis Treatment Recommendation, and Multi-Class Tuberculosis Detection and Classification Using Ensemble Deep Learning-Based SystemChutinun Prasitpuriprecha, Sirima Suvarnakuta Jantama, Thanawadee Preeprem, et al.Frontiers in Medicine|July 13, 2023
Computer-aided diagnosis using embedded ensemble deep learning for multiclass drug-resistant tuberculosis classificationKanchana Sethanan, Rapeepan Pitakaso, Thanatkij Srichok, et al.Diagnostics (Basel, Switzerland)|December 23, 2022
Embedded AMIS-Deep Learning with Dialog-Based Object Query System for Multi-Class Tuberculosis Drug Response ClassificationChutinun Prasitpuriprecha, Rapeepan Pitakaso, Sarayut Gonwirat, et al.Pageof 1