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รศ. ดร.  ดนัยพงศ์ เชษฐ์โชติศักดิ์

รศ. ดร. ดนัยพงศ์ เชษฐ์โชติศักดิ์

ภาควิชาวิศวกรรมอุตสาหการ,
คณะวิศวกรรมศาสตร์,
มหาวิทยาลัยขอนแก่น
14062943700: H-INDEX 5

บทความ

TCI อ้างอิงจาก http://www.tci-thaijo.org/

0

SCOPUS

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PUBMED

0

ISI

0

TCI

Title Author Year SCOPUS PUBMED ISI TCI
1. Improving generalization capability of neural networks under conditions of sparse data: A new committee formation approach Chetchotsak, D. 2002
2. Committee Networks: Many Heny Heads Are Better Than One Danaipong Chetchotsak 2005
3. An artificial neural network for detection of simulated dental caries Suwadee Kositbowornchai
Sanphet Siriteptawee
Supattra Plermkamon
Sujin Bureerat
Danaipong Chetchotsak
2006
4. Combining neural networks for function approximation under conditions of sparse data: The biased regression approach Danaipong Chetchotsak
Janet M. Twomey
2007
5. Yield Prediction using Artificial Neural Networks Danaipong Chetchotsak
Kritchana Kuntanoo
2007
6. The classification model for hard disk drive functional tests under sparse data conditions Pattanapairoj, S.
Chetchotsak, D.
2010
7. (Q,r) Based Inventory Model for Thailand’s HDD Industry: A Simulation Study Pitchawee Meesukdilokpat
Danaipong Chetchotsak
40002 Khon Kaen
2011
8. Efficiency factors for reinforced concrete deep beams: Part 1- improved models Chetchotisak, P.
Teerawong, J.
Chetchotsak, D.
2014
9. Efficiency factors for reinforced concrete deep beams: Part 2-code calibration Chetchotisak, P.
Teerawong, J.
Chetchotsak, D.
2014
10. Hybrid balancing technique using GRSOM and bootstrap algorithms for classifiers with imbalanced data Pattanapairoj, S.
Chetchotsak, D.
Arnonkijpanich, B.
2014
11. Object's centroid correlation using MATLAB's neural network toolbox for visually-guided object manipulation Wanchat, S.
Plermkamon, S.
Chetchotsak, D.
2014
12. Object's centroid localization using Hu-Flusser's moments invariant Wanchat, S.
Plermkamon, S.
Chetchotsak, D.
2014
13. Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach Sirorat Pattanapairoj
Atit Silsirivanit
Kanha Muisuk
Wunchana Seubwai
Ubon Cha'on
Kulthida Vaeteewoottacharn
Kanlayanee Sawanyawisuth
Danaipong Chetchotsak
Sopit Wongkham
2015
14. Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach. Chetchotsak, D.
Pattanapairoj, S.
Arnonkijpanich, B.
2015
15. PERFORMANCE EVALUATION OF LARGE AND MEDIUM SCALE MANUFACTURING INDUSTRY CLUSTERS IN EAST JAVA PROVINCE, INDONESIA Erni Puspanantasari Putri
Danaipong Chetchotsak
Panutporn Ruangchoenghum
Muaffaq Achmad Jani
Retno Hastijanti
2016
16. Performance Evaluation Using PCA and DEA: a Case Study of the Micro and Small Manufacturing Industries in Indonesia Erni Puspanantasari Putri
Danaipong Chetchotsak
Muaffaq Achmad Jani
Retno Hastijanti
2017
17. Group decision making for strategy prioritisation using hybrid aggregation: A case study of sugar industry in Thailand Chetchotsak, D. 2018
18. Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability Chetchotisak, P.
Chetchotsak, D.
2018
19. Group decision technique for multiple criteria evaluation problems: The preferential difference and rank approach through data envelopment analysis Chetchotsak, D.
Ruangchoengchum,
2019
Count 14 2 7 3

Title Authors Year Publication name Cited count
< 2015 2016 2017 2018 2019 2020 รวม
1. Improving generalization capability of neural networks under conditions of sparse data: A new committee formation approach Chetchotsak, D. 2002 Intelligent Engineering Systems Through Artificial Neural Networks
(12), pp. 141-146
2. An artificial neural network for detection of simulated dental caries Kositbowornchai, S.
Siriteptawee, S.
Plermkamon, S.
Bureerat, S.
Chetchotsak, D.
2006 International Journal of Computer Assisted Radiology and Surgery
2 (1), pp. 91-96
3. Combining neural networks for function approximation under conditions of sparse data: The biased regression approach Chetchotsak, D. 2007 International Journal of General Systems
4 (36), pp. 479-499
4. The classification model for hard disk drive functional tests under sparse data conditions Pattanapairoj, S.
Chetchotsak, D.
2010 World Academy of Science, Engineering and Technology
(46), pp. 261-266
5. Efficiency factors for reinforced concrete deep beams: Part 1- improved models Chetchotisak, P.
Teerawong, J.
Chetchotsak, D.
2014 Advanced Materials Research
(931-932), pp. 506-513
6. Efficiency factors for reinforced concrete deep beams: Part 2-code calibration Chetchotisak, P.
Teerawong, J.
Chetchotsak, D.
2014 Advanced Materials Research
(931-932), pp. 514-519
7. Hybrid balancing technique using GRSOM and bootstrap algorithms for classifiers with imbalanced data Pattanapairoj, S.
Chetchotsak, D.
Arnonkijpanich, B.
2014 Advanced Materials Research
(931-932), pp. 1375-1381
8. Object's centroid correlation using MATLAB's neural network toolbox for visually-guided object manipulation Wanchat, S.
Plermkamon, S.
Chetchotsak, D.
2014 Advanced Materials Research
(931-932), pp. 1417-1421
9. Object's centroid localization using Hu-Flusser's moments invariant Wanchat, S.
Plermkamon, S.
Chetchotsak, D.
2014 Applied Mechanics and Materials
(526), pp. 316-323
10. Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach Pattanapairoj, S.
Silsirivanit, A.
Muisuk, K.
Seubwai, W.
Cha'on, U.
Vaeteewoottacharn, K.
Sawanyawisuth, K.
Chetchotsak, D.
Wongkham, S.
2015 Clinical Biochemistry
10-11 (48), pp. 668-673
11. Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach Chetchotsak, D.
Pattanapairoj, S.
Arnonkijpanich, B.
2015 Cognitive Neurodynamics
(), pp.
12. Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach Chetchotsak, D.
Pattanapairoj, S.
Arnonkijpanich, B.
2015 Cognitive Neurodynamics
6 (9), pp. 627-638
13. Group decision making for strategy prioritisation using hybrid aggregation: A case study of sugar industry in Thailand Chetchotsak, D. 2018 International Journal of Applied Management Science
4 (10), pp. 338-361
14. Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability Chetchotisak, P.
Chetchotsak, D.
2018 KSCE Journal of Civil Engineering
8 (22), pp. 3066-3076
15. Group decision technique for multiple criteria evaluation problems: The preferential difference and rank approach through data envelopment analysis Chetchotsak, D.
Ruangchoengchum,
2019 International Journal of Business Innovation and Research
3 (18), pp. 410-427

Title Authors Year Journal title
1. Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach. Chetchotsak, D
Pattanapairoj, S
Arnonkijpanich, B
2015 Cognitive neurodynamics
6 (9), pp. 627-38
2. Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach. Pattanapairoj, S
Silsirivanit, A
Muisuk, K
Seubwai, W
Cha'on, U
Vaeteewoottacharn, K
Sawanyawisuth, K
Chetchotsak, D
Wongkham, S
2015 Clinical biochemistry
10 (48), pp. 668-73

Title Authors Year Journal title Cited count
< 2015 2016 2017 2018 2019 2020 รวม
1. An artificial neural network for detection of simulated dental caries Suwadee Kositbowornchai
Sanphet Siriteptawee
Supattra Plermkamon
Sujin Bureerat
Danaipong Chetchotsak
2006 INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
2.0 (1.0), pp. 91.0-96.0
9 0 0 0 0 0 9
2. Combining neural networks for function approximation under conditions of sparse data: the biased regression approach Danaipong Chetchotsak
Janet M. Twomey
2007 INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
4.0 (36.0), pp. 479.0-499.0
5 0 0 0 0 0 5
3. Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach Sirorat Pattanapairoj
Atit Silsirivanit
Kanha Muisuk
Wunchana Seubwai
Ubon Cha'on
Kulthida Vaeteewoottacharn
Kanlayanee Sawanyawisuth
Danaipong Chetchotsak
Sopit Wongkham
2015 CLINICAL BIOCHEMISTRY
10-11 (48.0), pp. 668.0-673.0
14 0 0 0 0 0 14
4. Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach Danaipong Chetchotsak
Sirorat Pattanapairoj
Banchar Arnonkijpanich
2015 COGNITIVE NEURODYNAMICS
6.0 (9.0), pp. 627.0-638.0
10 0 0 0 0 0 10
5. PERFORMANCE EVALUATION OF LARGE AND MEDIUM SCALE MANUFACTURING INDUSTRY CLUSTERS IN EAST JAVA PROVINCE, INDONESIA Erni Puspanantasari Putri
Danaipong Chetchotsak
Panutporn Ruangchoenghum
Muaffaq Achmad Jani
Retno Hastijanti
2016 INTERNATIONAL JOURNAL OF TECHNOLOGY
7.0 (7.0), pp. 1269.0-1279.0
8 0 0 0 0 0 8
6. Performance Evaluation Using PCA and DEA: a Case Study of the Micro and Small Manufacturing Industries in Indonesia Erni Puspanantasari Putri
Danaipong Chetchotsak
Muaffaq Achmad Jani
Retno Hastijanti
2017 ASR CHIANG MAI UNIVERSITY JOURNAL OF SOCIAL SCIENCES AND HUMANITIES
1.0 (4.0), pp. 37.0-56.0
2 0 0 0 0 0 2
7. Punching Shear Strengths of RC Slab-Column Connections: Prediction and Reliability Panatchai Chetchotisak
Pongpan Ruengpim
Danaipong Chetchotsak
Sukit Yindeesuk
2018 KSCE JOURNAL OF CIVIL ENGINEERING
8.0 (22.0), pp. 3066.0-3076.0
5 0 0 0 0 0 5

Title Authors Year Journal title
1. Committee Networks: Many Heny Heads Are Better Than One Danaipong Chetchotsak 2005 KKU ENGINEERING JOURNAL
4 (32), pp. 457-465
2. Yield Prediction using Artificial Neural Networks Danaipong Chetchotsak
Kritchana Kuntanoo
2007 KKU ENGINEERING JOURNAL
4 (34), pp. 465-475
3. (Q,r) Based Inventory Model for Thailand’s HDD Industry: A Simulation Study Pitchawee Meesukdilokpat
Danaipong Chetchotsak
40002 Khon Kaen
2011 KKU ENGINEERING JOURNAL
3 (38), pp. 243-254

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