| Electricity load forecasting in Thailand using deep learning models PP Phyo, C Jeenanunta, K Hashimoto International Journal of Electrical and Electronic Engineering …, 2019 | 56 | 2019 |
| Does safety-oriented corporate social responsibility promote innovation in the Thai trucking industry? Y Ueki, C Jeenanunta, T Machikita, M Tsuji Journal of Business Research 69 (11), 5371-5376, 2016 | 41 | 2016 |
| HEURISTIC APPROACH TO WORKFORCE SCHEDULING WITH COMBINED SAFETY AND PRODUCTIVITY OBJECTIVE. S Nanthavanij, S Yaoyuenyong, C Jeenanunta International Journal of Industrial Engineering 17 (4), 2010 | 30 | 2010 |
| Daily load forecasting based on a combination of classification and regression tree and deep belief network PP Phyo, C Jeenanunta IEEE Access 9, 152226-152242, 2021 | 28 | 2021 |
| How collaborative routines improve dynamic innovation capability and performance in tourism industry? A path-dependent learning model A Pongsathornwiwat, C Jeenanunta, VN Huynh, K Udomvitid Asia Pacific Journal of Tourism Research 24 (4), 281-295, 2019 | 28 | 2019 |
| Daily electric load forecasting: Case of Thailand MS Dilhani, C Jeenanunta 2016 7th International Conference of Information and Communication …, 2016 | 28 | 2016 |
| The approach‐dependent, time‐dependent, label‐constrained shortest path problem HD Sherali, C Jeenanunta, AG Hobeika Networks: An International Journal 48 (2), 57-67, 2006 | 26 | 2006 |
| Stock price prediction with long short-term memory recurrent neural network C Jeenanunta, R Chaysiri, L Thong 2018 International Conference on Embedded Systems and Intelligent Technology …, 2018 | 25 | 2018 |
| Prediction of Physical Quality Parameters of Frozen Shrimp (Litopenaeus vannamei): An Artificial Neural Networks and Genetic Algorithm Approach I Ahmad, C Jeenanunta, P Chanvarasuth, S Komolavanij Food and bioprocess technology 7, 1433-1444, 2014 | 25 | 2014 |
| Human resource development for technological capabilities upgrading and innovation in production networks: a case study in Thailand C Jeenanunta, N Rittippant, P Chongphaisal, R Hamada, N Intalar, ... Asian Journal of Technology Innovation 25 (2), 330-344, 2017 | 24 | 2017 |
| Hybrid particle swarm optimization with genetic algorithm to train artificial neural networks for short-term load forecasting KD Abeyrathna, C Jeenanunta Research Anthology on Artificial Neural Network Applications, 227-241, 2022 | 22 | 2022 |
| Supply chain collaboration and firm performance in Thai automotive and electronics industries C Jeenanunta, Y Ueki, T Visanvetchakij Global Business Perspectives 1, 418-432, 2013 | 22 | 2013 |
| Towards Industry 4.0: Digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system N Intalar, K Chumnumporn, C Jeenanunta, A Tunpan Engineering Management in Production and Services 13 (4), 79-94, 2021 | 20 | 2021 |
| Resilient manufacturing: Case studies in Thai automotive industries during the COVID-19 pandemic N Kaeo-Tad, C Jeenanunta, K Chumnumporn, T Nitisahakul, ... Engineering Management in Production and Services 13 (3), 99-113, 2021 | 20 | 2021 |
| Applications of fuzzy logic to reconfigure human resource management practices for promoting product innovation in formal and non-formal R&D firms T Kimseng, A Javed, C Jeenanunta, Y Kohda Journal of Open Innovation: Technology, Market, and Complexity 6 (2), 38, 2020 | 20 | 2020 |
| Time series outlier detection for short-term electricity load demand forecasting C Jeenanunta, KD Abeyrathna, MS Dilhani, SW Hnin, PP Phyo International Scientific Journal of Engineering and Technology (ISJET) 2 (1 …, 2018 | 20 | 2018 |
| Impact of the COVID-19 pandemic on logistics firms and their resilience: case studies in Thailand S Ketudat, C Jeenanunta Engineering Management in Production and Services 13 (3), 86-98, 2021 | 19 | 2021 |
| Electricity load forecasting using a deep neural network. PP Phyo, C Jeenanunta Engineering & Applied Science Research 46 (1), 2019 | 18 | 2019 |
| Application of Support Vector Classification Algorithms for the Prediction of Quality Level of Frozen Shrimps (Litopenaeus vannamei) Suitable for Sensor-Based … I Ahmad, C Jeenanunta Food and bioprocess technology 8, 134-147, 2015 | 17 | 2015 |
| Advanced ml-based ensemble and deep learning models for short-term load forecasting: Comparative analysis using feature engineering PP Phyo, C Jeenanunta Applied Sciences 12 (10), 4882, 2022 | 16 | 2022 |
Nuchjarin IntalarDepartment of Computer Science, Faculty of Science and Technology, Thammasat University, ThailandVerified email at tu.ac.th
