| Title | Author | Year | SCOPUS | PUBMED | ISI | TCI | |
|---|---|---|---|---|---|---|---|
| 1. | Multi-label classification with extreme learning machine | Kongsorot, Y. Horata, P. |
2014 | ||||
| 2. | A Fast Convolutional Denoising Autoencoder Based Extreme Learning Machine | Horata, P. Kongsorot, Y. |
2018 | ||||
| 3. | Kernel extreme learning machine based on fuzzy set theory for multi-label classification | Kongsorot, Y. Horata, P. Sunat, K. |
2019 | ||||
| 4. | Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems | Sunat, K. Kongsorot, Y. Horata, P. Chiewchanwattana, S. |
2019 | ||||
| 5. | An Incremental Kernel Extreme Learning Machine for Multi-Label Learning with Emerging New Labels | Kongsorot, Y. Horata, P. |
2020 | ||||
| 6. | Wind power forecasting using a heterogeneous ensemble of decomposition-based nnrw techniques | Sunat, K. Kongsorot, Y. |
2020 | ||||
| 7. | An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware | Musikawan, P. Kongsorot, Y. You, I. So-In, C. |
2022 | ||||
| 8. | An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs | Kongsorot, Y. Musikawan, P. |
2022 | ||||
| 9. | An enhanced obstacle-aware deployment scheme with an opposition-based competitive swarm optimizer for mobile WSNs | Musikawan, P. Kongsorot, Y. |
2022 | Count | 9 | 0 | 0 | 0 |
| Title | Authors | Year | Publication name | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Total | ||||||
| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 7. | An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware | Musikawan, P. Kongsorot, Y. You, I. So-In, C. |
2022 |
IEEE Internet of Things Journal (), pp. |
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| 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. |
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| 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. |
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| Title | Authors | Year | Journal title |
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| Title | Authors | Year | Journal title | Cited count | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| < 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Total | ||||||
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| Title | Authors | NRIIS type | Year | NRIIS Scholarship |
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