Personnel of the Faculty of Science

Asst. Prof. Dr.

Thakerng Wongsirichot

Assistant Professor

Education

Graduated Year
Degree
Country
2018
Ph.D. (Computer Science)
Thailand
2003
M.I.S. (Information Systems) UNIVERSITY OF WOLLONGONG
Australia
2001
B.Com (Information Systems) UNIVERSITY OF WOLLONGONG
Australia

Specialist / Interested

Business Information System
Accounting Information System
Decision Support Systems
Artificial Intelligent (Software based application)
Data Warehousing/Web Warehousing
Ontology/Semantic Web
Forecasting Model
Information Retrieval

Publication

From Scopus

Author ID: 56373576100
1
Julkaew S., Wongsirichot T., Damkliang K., Sangthawan P., 2024. DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. BMC Medical Informatics and Decision Making 24(1) (cited 0 times)
2
Julkaew S., Wongsirichot T., Damkliang K., Sangthawan P., 2024. Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection. Journal of International Medical Research 52(4) (cited 0 times)
3
Phumkuea T., Wongsirichot T., Damkliang K., Navasakulpong A., Andritsch J., 2023. MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models. Tomography 9(6): 2233-2246. (cited 0 times)
4
Phumkuea T., Nilvisut P., Wongsirichot T., Damkliang K., 2023. A NEW COMPUTER-AIDED DIAGNOSIS of PRECISE MALARIA PARASITE DETECTION in MICROSCOPIC IMAGES USING A DECISION TREE MODEL with SELECTIVE OPTIMAL FEATURES. Biomedical Engineering - Applications, Basis and Communications 35(4) (cited 0 times)
5
Damkliang K., Wongsirichot T., Khongrak C., Suwannarat P., 2023. An Optimal Deep Learning Approach to BCa Tissue Detection using Case Studies. ECTI Transactions on Computer and Information Technology 17(1): 60-72. (cited 0 times)
6
Damkliang K., Thongsuksai P., Kayasut K., Wongsirichot T., Jitsuwan C., Boonpipat T., 2023. Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures. PeerJ Computer Science 9 (cited 1 times)
7
Phumkuea T., Wongsirichot T., Damkliang K., Navasakulpong A., 2023. Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation. JMIR Formative Research 7 (cited 0 times)
8
Widoyo R., Djafri D., Putri A.S.E., Yani F.F., Kusumawati R.L., Wongsirichot T., Chongsuvivatwong V., 2023. Missing Cases of Bacteriologically Confirmed TB/DR-TB from the National Treatment Registers in West and North Sumatra Provinces, Indonesia. Tropical Medicine and Infectious Disease 8(1) (cited 0 times)
9
Dissaneevate S., Wongsirichot T., Siriwat P., Jintanapanya N., Boonyakarn U., Janjindamai W., Thatrimontrichai A., Maneenil G., 2022. A Mobile Computer-Aided Diagnosis of Neonatal Hyperbilirubinemia using Digital Image Processing and Machine Learning Techniques. International Journal of Innovative Research and Scientific Studies 5(1): 10-17. (cited 14 times)
10
Damkliang K., Wongsirichot T., Thongsuksai P., 2021. Tissue classification for colorectal cancer utilizing techniques of deep learning and machine learning. Biomedical Engineering - Applications, Basis and Communications 33(3) (cited 15 times)

Publication

From the Faculty of Science

1
Julkaew, S., Wongsirichot, T., Damkliang, K., & Sangthawan, P. (2024). Improving accuracy of vascular access quality classification in hemodialysis patients using deep learning with K highest score feature selection (SCIE). Journal Of International Medical Research, 52(4), 1-15.
2
Phumkuea, T., Wongsirichot, T., Damkliang, K., Navasakulpong, A., & Andritsch, J. (2023). MSTAC: A Multi-Stage Automated Classification of COVID-19 Chest X-ray Images Using Stacked CNN Models (SCIE). Tomography, 9(6), 2233 - 2246.
3
Damkliang, K., Thongsuksai, P., Kayasut, K., Wongsirichot, T., Jitsuwan, C., & Boonpipat, T. (2023). Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures (SCIE). Peerj Computer Science, 9(e1767), 1-29.
4
Phumkuea, T., Nilvisut, P., Wongsirichot, T., & Damkliang, K. (2023). A NEW COMPUTER-AIDED DIAGNOSIS of PRECISE MALARIA PARASITE DETECTION in MICROSCOPIC IMAGES USING A DECISION TREE MODEL with SELECTIVE OPTIMAL FEATURES (ESCI). Biomedical Engineering - Applications, Basis And Communications, 35(4), 2350004.
5
Damkliang, K., Wongsirichot, T., Khongrak, C., & Suwannarat, P. (2023). An Optimal Deep Learning Approach to BCa Tissue Detection using Case Studies. Ecti Transactions On Computer And Information Technology, 17(1), Pages 60 - 72.
6
Phumkuea, T., Wongsirichot, T., Damkliang, K., & Navasakulpong, A. (2023). Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation (ESCI). Jmir Formative Research, 7, 1-16.
7
Widoyo, R., Djafri, D., Putri, A., Yani, F., Kusumawati, R., Wongsirichot, T., & Chongsuvivatwong, V. (2023). Missing Cases of Bacteriologically Confirmed TB/DR-TB from the National Treatment Registers in West and North Sumatra Provinces, Indonesia (SCIE). Tropical Medicine And Infectious Disease, 8(1), Article number 31.
8
Damkliang, K., Wongsirichot, T., & Thongsuksai, P. (2021). TISSUE CLASSIFICATION FOR COLORECTAL CANCER UTILIZING TECHNIQUES OF DEEP LEARNING AND MACHINE LEARNING (ESCI). Biomedical Engineering-applications Basis Communications, 33(3), Article number 2150022.
9
Wongsirichot, T., Elz, N., Kajkamhaeng, S., Nupinit, W., & Sridonthong, N. (2019). An investigation of data mining based Automatic Sleep Stage Classification techniques. International Journal Of Machine Learning And Computing, 9(4), 520-526.
10
Trakulmaykee, N., Wongsirichot, T., & Trakulmaykee, Y. (2018). A Comparative Study of Factors’ Influences Affecting Tourists’ Intention to Use Mobile Food Information: Independent Tourists and Package Tourists. International Journal Of Innovation And Technology Management, 15(1), 1-20.
11
Wongsirichot, T., Pattanaphanchai, J., Sopyada, N., & Hayeewaehama, S. (2017). A Prototype of Sleepwalking Detection and Monitoring System Using Smart Devices. Advanced Science Letters, 6(23), 5126-5129(4).