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ต้องการปรับปรุงข้อมูลบุคลากร ติดต่องานบริหารทรัพยากรมนุษย์ (8015) (siriporn.t@psu.ac.th)
ต้องการปรับปรุงข้อมูล Publication ติดต่องานสนับสนุนการวิจัย (8079) (thanapat.s@psu.ac.th)
ผศ.ดร.
เถกิง วงศ์ศิริโชติ
ผู้ช่วยศาสตราจารย์
- thakerng.w@psu.ac.th
- 8664
- เทคโนโลยีสารสนเทศและการสื่อสาร
- สาขาวิทยาศาสตร์การคำนวณ

ประวัติการศึกษา
ปีที่สำเร็จการศึกษา
วุฒิการศึกษา
ประเทศ
2561
ปร.ด. (วิทยาการคอมพิวเตอร์) สถาบันเทคโนโลยีพระจอมเกล้าเจ้าคุณทหารลาดกระบัง
ไทย
2546
M.I.S. (Information Systems) UNIVERSITY OF WOLLONGONG
ออสเตรเลีย
2544
B.Com (Information Systems) UNIVERSITY OF WOLLONGONG
ออสเตรเลีย
สาขาเชี่ยวชาญ / สาขาที่สนใจ
Information Technology; Data Analytics; Business Information System
Publication
ฐานข้อมูล Scopus
Author ID: 56373576100
1
2025. Preface. Proceedings of 2024 4th International Conference on Big Data Artificial Intelligence and Risk Management Icbar 2024 : xvi. (cited 0 times)
2
2024. DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients. BMC Medical Informatics and Decision Making 24(1) (cited 3 times)
3
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)
4
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)
5
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 2 times)
6
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)
7
2023. Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation. Jmir Formative Research 7 (cited 2 times)
8
2023. Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architectures. Peerj Computer Science 9 (cited 4 times)
9
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 2 times)
10
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 19 times)
Content provided by Scopus.
Publication
ฐานข้อมูลคณะวิทยาศาสตร์
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), -.
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 (SCIE). Journal Of International Medical Research, 52(4), 1-15.
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 (SCIE). Tomography, 9(6), 2233 - 2246.
4
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.
5
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.
6
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.
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 (ESCI). Jmir Formative Research, 7, 1-16.
8
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.
9
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.
10
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.
11
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.
12
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).