| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Multi-label classification with extreme learning machine | Kongsorot, Y. Horata, P. |
2014 | ||||
| 2. | Improved Convex Incremental Extreme Learning Machine Based on Ridgelet and PSO Algorithm | Pakarat Musikawan Khamron Sunat Sirapat Chiewchanwattana Punyaphol Horata Yanika Kongsorot |
2016 | ||||
| 3. | A Fast Convolutional Denoising Autoencoder based Fixtreme Learning Machine | Janebhop Sawaengchob Punyaphol Horata Pakarat Musikawan Yanika Kongsorot |
2017 | ||||
| 4. | A Fast Convolutional Denoising Autoencoder Based Extreme Learning Machine | Horata, P. Kongsorot, Y. |
2018 | ||||
| 5. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan Khamron Sunat |
2019 | ||||
| 6. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Sunat, K. Kongsorot, Y. Horata, P. Chiewchanwattana, S. |
2019 | ||||
| 7. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning with Emerging New Labels | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan |
2020 | ||||
| 8. | Wind power forecasting using a heterogeneous ensemble of decomposition-based nnrw techniques | Sunat, K. Kongsorot, Y. |
2020 | ||||
| 9. | Tomato Maturity Classification: A Transfer Learning Approach | Sakunrasrisuay, C. Musikawan, P. Nguyen, A.N. Kongsorot, Y. Imtongkhum, P. So-In, C. |
2021 | ||||
| 10. | An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs | Kongsorot, Y. Musikawan, P. |
2022 | ||||
| 11. | An enhanced obstacle-aware deployment scheme with an opposition-based competitive swarm optimizer for mobile WSNs | Musikawan, P. Kongsorot, Y. |
2022 | ||||
| 12. | An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware | Musikawan, P. Kongsorot, Y. You, I. So-In, C. |
2023 | ||||
| 13. | An Intrusion Detection and Identification System for Internet of Things Networks Using a Hybrid Ensemble Deep Learning Framework | Kongsorot, Y. Musikawan, P. Aimtongkham, P. You, I. Benslimane, A. So-In, C. |
2023 | ||||
| 14. | A Novel Congestion Control Scheme Using Fuzzy Logic Systems to Enhance the Path Selection Criteria in Routing Protocols for Low-Power and Lossy Networks on the Internet of Things | Aimtongkham, P. Musikawan, P. Kongsorot, Y. So-In, C. |
2024 | ||||
| 15. | Enhanced Multigrained Scanning-Based Deep Stacking Network for Intrusion Detection in IoMT Networks | Musikawan, P. Kongsorot, Y. |
2024 | ||||
| 16. | FLSec-RPL: a fuzzy logic-based intrusion detection scheme for securing RPL-based IoT networks against DIO neighbor suppression attacks | Kim, C. So-In, C. Kongsorot, Y. Aimtongkham, P. |
2024 | Count | 14 | 0 | 5 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | Multi-label classification with extreme learning machine | Kongsorot, Y. Horata, P. |
2014 |
Proceedings of the 2014 6th International Conference on Knowledge and Smart Technology, KST 2014 (), pp. 81-86 |
||||||||
| 2. | A Fast Convolutional Denoising Autoencoder Based Extreme Learning Machine | Horata, P. Kongsorot, Y. |
2018 |
ICSEC 2017 - 21st International Computer Science and Engineering Conference 2017, Proceeding (), pp. 185-189 |
||||||||
| 3. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Kongsorot, Y. Horata, P. Sunat, K. |
2019 |
International Journal of Machine Learning and Cybernetics 5 (10), pp. 979-989 |
||||||||
| 4. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Sunat, K. Kongsorot, Y. Horata, P. Chiewchanwattana, S. |
2019 |
IEEE Access (7), pp. 26909-26932 |
||||||||
| 5. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning with Emerging New Labels | Kongsorot, Y. Horata, P. |
2020 |
IEEE Access (8), pp. 46055-46070 |
||||||||
| 6. | Wind power forecasting using a heterogeneous ensemble of decomposition-based nnrw techniques | Sunat, K. Kongsorot, Y. |
2020 |
ECTI Transactions on Computer and Information Technology 2 (14), pp. 122-138 |
||||||||
| 7. | Tomato Maturity Classification: A Transfer Learning Approach | Sakunrasrisuay, C. Musikawan, P. Nguyen, A.N. Kongsorot, Y. Imtongkhum, P. So-In, C. |
2021 |
ICSEC 2021 - 25th International Computer Science and Engineering Conference (), pp. 411-416 |
||||||||
| 8. | An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs | Kongsorot, Y. Musikawan, P. |
2022 |
Expert Systems with Applications (198), pp. |
||||||||
| 9. | An enhanced obstacle-aware deployment scheme with an opposition-based competitive swarm optimizer for mobile WSNs | Musikawan, P. Kongsorot, Y. |
2022 |
Expert Systems with Applications (189), pp. |
||||||||
| 10. | An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware | Musikawan, P. Kongsorot, Y. You, I. So-In, C. |
2023 |
IEEE Internet of Things Journal 10 (10), pp. 8560-8577 |
||||||||
| 11. | An Intrusion Detection and Identification System for Internet of Things Networks Using a Hybrid Ensemble Deep Learning Framework | Kongsorot, Y. Musikawan, P. Aimtongkham, P. You, I. Benslimane, A. So-In, C. |
2023 |
IEEE Transactions on Sustainable Computing 4 (8), pp. 596-613 |
||||||||
| 12. | A Novel Congestion Control Scheme Using Fuzzy Logic Systems to Enhance the Path Selection Criteria in Routing Protocols for Low-Power and Lossy Networks on the Internet of Things | Aimtongkham, P. Musikawan, P. Kongsorot, Y. So-In, C. |
2024 |
SN Computer Science 5 (5), pp. |
||||||||
| 13. | Enhanced Multigrained Scanning-Based Deep Stacking Network for Intrusion Detection in IoMT Networks | Musikawan, P. Kongsorot, Y. |
2024 |
IEEE Access (12), pp. 152482-152497 |
||||||||
| 14. | FLSec-RPL: a fuzzy logic-based intrusion detection scheme for securing RPL-based IoT networks against DIO neighbor suppression attacks | Kim, C. So-In, C. Kongsorot, Y. Aimtongkham, P. |
2024 |
Cybersecurity 1 (7), pp. |
||||||||
| Title | Authors | Year | Journal title |
|---|
| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | รวม | ||||||
| 1. | Improved Convex Incremental Extreme Learning Machine Based on Ridgelet and PSO Algorithm | Pakarat Musikawan Khamron Sunat Sirapat Chiewchanwattana Punyaphol Horata Yanika Kongsorot |
2016 |
2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) (), pp. 189.0-194.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 2. | A Fast Convolutional Denoising Autoencoder based Fixtreme Learning Machine | Janebhop Sawaengchob Punyaphol Horata Pakarat Musikawan Yanika Kongsorot |
2017 |
2017 21ST INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC 2017) (), pp. 185.0-189.0 |
0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 3. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan Khamron Sunat |
2019 |
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 5.0 (10.0), pp. 979.0-989.0 |
11 | 0 | 0 | 0 | 0 | 0 | 11 | |
| 4. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Pakarat Musikawan Khamron Sunat Yanika Kongsorot Punyaphol Horata Sirapat Chiewchanwattana |
2019 |
IEEE ACCESS (7.0), pp. 26909.0-26932.0 |
14 | 0 | 0 | 0 | 0 | 0 | 14 | |
| 5. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels | Yanika Kongsorot Punyaphol Horata Pakarat Musikawan |
2020 |
IEEE ACCESS (8.0), pp. 46055.0-46070.0 |
3 | 0 | 0 | 0 | 0 | 0 | 3 | |
| Title | Authors | Year | Journal title |
|---|
| ชื่อโครงการ | Authors | ประเภทโครงการ | ปีงบประมาณ | ทุนวิจับ |
|---|