Publication

Article

• Mekruksavanich, S., Surinta, O. & Jitpattanakul, A. (2025). A deep neural network with aggregated residual transformation for smartwatch-based human activity recognition in real world situations. ICIC Express Letters, 19(3). (Scopus Q4) (Accepted)
• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Fusion-Based Convolutional Recurrent Neural Network for Improved Dynamic Thai Fingerspelling Recognition. ICIC Express Letters, Part B: Applications, 16(2), 201-210. doi: 10.24507/icicelb.16.02.201
• Jarutan, P., Hanyong, T., Bussabong, Z., Okafor, E., & Surinta, O. (2025). Multimodal Fusion of Convolutional Recurrent Neural Network and Language Models for Text Recognition. ICIC Express Letters, Part B: Applications, 16(1), 83-91. doi: 10.24507/icicelb.16.01.83
• Bussabong, Z., Jarutan, P., Okafor, E., & Surinta, O. (2025). Enhancing Image Caption Performance with Improved Visual Attention Mechanism. ICIC Express Letters, Part B: Applications, 16(1), 73-82. doi: 10.24507/icicelb.16.01.73
• Sungsri, T., Sungsri, T., Okafor, E., & Surinta, O. (2025). Multimodal Emotion Recognition Based on Hybrid Ensemble Deep Learning Framework. ICIC Express Letters, Part B: Applications, 16(1), 93-102. doi: 10.24507/icicelb.16.01.93
• Mekruksavanich, S., Surinta, O. & Jitpattanakul, A. (2024). sEMG-based muscular movement recognition for hand prothesis using deep learning approaches. ICIC Express Letters, Part B: Applications, 15(12), 1311-1318. doi: 10.24507/icicelb.15.12.1311. (Scopus Q4)
• Phiphitphatphaisit, S., & Surinta, O. (2024). Multi-Layer Adaptive Spatial-Temporal Feature Fusion Network for Efficient Food Image Recognition. Expert Systems with Applications, 255, Part D, Article 124834. doi: 10.1016/j.eswa.2024.124834 (ISI Q1, Impact Factor 7.5)
• Sangkatip, W., Chomphuwiset, P., Bunluewong, K., Mekruksavanich, S., Okafor, E., & Surinta, O. (2024). Improving Neural Network-Based Multi-Label Classification with Pattern Loss Penalties. IEEE Access, , 12, 52237 – 52248. doi: 10.1109/ACCESS.2024.3386841 (ISI Q2, Scopus Q1)
• Rojarath, A., Jantama, T., Srirat, W., Mookpakdee, N., khumwiso, K., & Surinta, O. (2024). Factors analysis affecting stroke disease using association rules. Journal of Science and Technology Mahasakham University, 43(3), 206-222. (TCI 1) 
• Choompookham, T., Okafor, E., & Surinta, O. (2024). Mulberry leaf dataset for image classification task. Data in Brief, 54, 110281. doi: 10.1016/j.dib.2024.110281 (Scopus Q2)
• Boonsirisumpun, N., Okafor, E., & Surinta, O. (2024). Vehicle image datasets for image classification. Data In Brief, 53, 110133. doi: 10.1016/j.dib.2024.110133 (Scopus Q2)
• Mekruksavanich, S., Jantawong, P., Surinta, O., & Jitpattanakul, A. (2024). Road surface classification for intelligent vehicle perception based on inertial sensors. ICIC Express Letters, 18(1), 79-86. doi: 10.24507/icicel.18.01.79 (Scopus Q3)
• Jantawong, P., Surinta, O., Jitpattanakul, A., & Mekruksavanich, S. (2024). Recognition of exercise activity using CNN and LSTM based on accelerometer data. ICIC Express Letters, 18(1), 69-77. doi: 10.24507/icicel.18.01.69 (Scopus Q3)
• Mekruksavanich, S., Jantawong, P., Surinta, O., Hnoohom, N., & Jitpattanakul, A. (2023). Deep learning for recognizing daily human activities using smart home sensors. ICIC Express Letters, 17(12), 1375-1383. doi: 10.24507/icicel.17.12.1375(Scopus Q3)
• Sudkhot, P., Sombattheera, C. (2023). Planning Strategy of BDI Agents for Crowd Simulation. In: Morusupalli, R., Dandibhotla, T.S., Atluri, V.V., Windridge, D., Lingras, P., Komati, V.R. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2023. Lecture Notes in Computer Science(), vol 14078. Springer, Cham. doi: 10.1007/978-3-031-36402-0_43
• Intara, B. and Sombattheera, C. (2023). Trends of Payoffs of Agents in Bakery Game Under Non-Cooperative Environment, ICIC Express Letters, 17(2), 153-161. doi: 10.24507/icicel.17.02.153 (Scopus Q3)
• Sudkhot, P., Wong, K.W. and Sombattheera, C. (2023). Collision Avoidance and Path Planning in Crowd Simulation, ICIC Express Letters, 17(1), 13-24. doi: 10.24507/icicel.17.01.13 (Scopus Q3)
• Sombattheera, C., Chamchong, R., and Chomphuwiset, P. (2023). Predicting Key Factors in Agricultural Databases for Thai Farmers to Make the Right Decision, ICIC Express Letters, 17(1), 1-11. doi: 10.24507/icicel.17.01.1 (Scopus Q3)
• Gonwirat, S. and Surinta, O. (2022). DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters. IEEE Access, 10, 90133-90148. doi: 10.1109/ACCESS.2022.3201560. (ISI Q2, Impact factor 3.367)
• Noppitak, S. and Surinta, O. (2022). dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification. IEEE Access, 10, 60725-60737. doi: 10.1109/ACCESS.2022.3180844. (ISI Q2, Impact factor 3.367)
• Gonwirat, S., Surinta, O. and Pawara. P. (2022). Fusion Convolutional Recurrent Neural Networks for Thai and English Video Subtitle Recognition, ICIC Express Letters, 16(12), 1331-1339. doi: 10.24507/icicel.16.12.1331 (Scopus Q3)
• Getsopon, W. and Surinta, O. (2022). Fusion Lightweight Convolutional Neural Networks and Sequence Learning Architectures for Violence Classification. ICIC Express Letters, Part B: Applications, 13(10), 1027-1035. doi: 10.24507/icicelb.13.10.1027. (Scopus Q3)
• Lata, S., Phiphitphatphaisit, S., Gonwirat, S. and Surinta, O.(2022). Dynamic Fingerspelling Recognition from Video Using Deep Learning Approach: From Detection to Recognition. ICIC Express Letters, Part B: Applications, 13(9), 949-957. doi: 10.24507/icicelb.13.09.949. (Scopus Q3)
• Enkvetchakul, P., Surinta, O. and Noppitak, S. (2022). Effective Data Resampling and Meta-Learning Convolutional Neural Networks for Diabetic Retinopathy Recognition. ICIC Express Letters, Part B: Applications, 13(9), 939-948. doi: 10.24507/icicelb.13.09.939. (Scopus Q3)
• Sombattheera, C. (2022). Coalition Formation of Buyers in Real World Agriculture Domain. ICIC Express Letters, Part B: Applications, 13(11), 1143-1153. doi: 10.24507/icicelb.13.11.1143 (Scopus Q3)
• Boonsirisumpun, N. and Surinta, O. (2022). Ensemble Multiple CNNs methods with partial Training Set for Vehicle Image Classification. Science, Engineering and Health Studies, 16, 22020001. doi: 10.14456/sehs.2022.12 (Scopus Q4)
• Enkvetchakul, P. and Surinta, O. (2022). Effective Data Augmentation and Training Techniques for Improving Deep Learning in Plant Leaf Disease Recognition. Applied Science and Engineering Progress, 15(3), 3810. https://doi.org/10.14416/j.asep.2021.01.003. (Scopus Q4)
• Singkhornart, T. and Surinta, O. (2022). Multi-Language Video Subtitle Recognition with Convolutional Neural Network and Long Short-Term Memory Networks. ICIC Express Letters, 16(6), 647-655. doi: 10.24507/icicel.16.06.647. (Scopus Q3)
• Lata, S. and Surinta, O. (2022). An End-to-End Thai Fingerspelling Recognition Framework with Deep Convolutional Neural Networks. ICIC Express Letters, 16(5), 529-536. doi: 10.24507/icicel.16.05.529. (Scopus Q3)
• Enkvetchakul, P. and Surinta, O. (2022). Stacking Ensemble of Lightweight Convolutional Neural Networks for Plant Leaf Disease Recognition. ICIC Express Letters, 16(5), 521-528. doi: 10.24507/icicel.16.05.521. (Scopus Q3)
• Saichua, P. and Surinta, O. (2022). Comparative Study between Ensemble and Fusion Convolutional Neural Networks for Diabetic Retinopathy Classification. ICIC Express Letters, 16(4), 401-408. doi: 10.24507/icicel.16.04.401. (Scopus Q3)
• Pimcharee, K. and Surinta, O. (2022). Data mining Approaches in Personal Loan Approval. Engineering Access, 8(1), 15-21. doi: 10.14456/mijet.2022.2 (TCI 2)
• Boonsirisumpun, N. and Surinta, O. (2022). Fast and Accurate Deep Learning Architecture on Vehicle Type Recognition. Current Applied Science and Technology, 22(1) (January-February 2022), 1-16. doi: 10.55003/cast.2022.01.22.001 (Scopus Q4)
• Bunluewong, K. and Surinta, O. (2021). Semi-Automated Mushroom Cultivation House using Internet of Things. Engineering Acmes, 7(2), 181-188. (TCI 2)
• Gonwirat, S. and Surinta, O. (2021). Optimal Weighted Parameters of Ensemble CNNs Based on a Differential Evolution Algorithm for Enhancing Pornographic Image Classification, Engineering and Applied Science Research, 48(5), 560-569. (Scopus Q3)
• Phiphiphatphaisit, S. and Surinta, O. (2021). Deep Feature Extraction Technique Based on Conv1D and LSTM Network for Food Image Recognition, Engineering and Applied Science Research, 48(5), 581-592. (Scopus Q3)
• Puangsuwan, T. and Surinta, O. (2021). Enhancement of Plant Disease Classification Based on Snapshot Ensemble Convolutional Neural Network. ICIC Express Letters, 15(6), 669-680. (Scopus Q3)
• Chompookham, T. and Surinta, O. (2021). Ensemble Methods with Deep Convolutional Neural Networks for Plant Leaf Recognition. ICIC Express Letters, 15(6), 553-565. (Scopus Q3)
• Noppitak, S. and Surinta, O. (2021). Ensemble Convolutional Network Architectures for Land Use Classification in Economic Crops Aerial Images. ICIC Express Letters, 15(6), 531-543. (Scopus Q3)
• Tantrabundit, P., Wongsim, M., and Surinta, O.(2020). Technology Acceptance Model: The Evidence of NodeMCU’s Mushroom House Control System in Thailand. Journal of Accountancy and Management, 12(1), 42-54. (TCI 2)
• Sanuksan, J. and Surinta, O. (2019). Deep Convolutional Neural Networks for Plant Recognition in Natural Environment, Journal of Science and Technology Mahasarakham University, 38(2), 113-124. (TCI 1)
• Raksaard, N. and Surinta, O. (2018). Comparative Study Between Local Descriptors and Deep Learning for Silk Pattern Image Retrieval, Journal of Science and Technology Mahasarakham University, 37(6), 736-746. (TCI 1)
• Surinta, O. (2018). Local Descriptors Approach for Pornographic Image Classification, Journal of Science and Technology Mahasarakham University, 37(3), 439-448. (TCI 1)
• Surinta, O. and Bunluewong, K. (2017). Handwritten Character Recognition Using k-Nearest Neighbors Classifier – A Survey, Journal of Science and Technology Mahasarakham University, 36(1), 117-129. (TCI 1)

Proceeding

• Sombattheera, C. (2022). Stable Coalitions of Buyers in Real World Agriculture Domain. In: Surinta, O., Kam Fung Yuen, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2022. Lecture Notes in Computer Science(), vol 13651. Springer, Cham. https://doi.org/10.1007/978-3-031-20992-5_16
• Khruahong, S., Surinta, O., Lam, S.C. (2022). Sentiment Analysis of Local Tourism in Thailand from YouTube Comments Using BiLSTM. In: Surinta, O., Kam Fung Yuen, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2022. Lecture Notes in Computer Science(), vol 13651. Springer, Cham. https://doi.org/10.1007/978-3-031-20992-5_15
• Sombattheera, C. (2022). News Feed: A Multiagent-Based Push Notification System. In: Surinta, O., Kam Fung Yuen, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2022. Lecture Notes in Computer Science(), vol 13651. Springer, Cham. https://doi.org/10.1007/978-3-031-20992-5_11
• Sombattheera, C. (2022). Computing Nash Equilibrium of Crops in Real World Agriculture Domain. In: Surinta, O., Kam Fung Yuen, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2022. Lecture Notes in Computer Science(), vol 13651. Springer, Cham. https://doi.org/10.1007/978-3-031-20992-5_1
• Ardarsa, P. and Surinta, O. (2021). Water Quality Assessment in the Lam Pa Thao Dam, Chaiyaphum, Thailand with K-Means Clustering Algorithm, in Research, Invention and Innovation Congress (RI2C), 35-39. doi: https://doi.org/10.1109/RI2C51727.2021.9559811
• Khamket, T. and Surinta, O. (2021). Feature Extraction Efficient for Face Verification Based on Residual Network Architecture. in Artificial Intelligence, in Multi-disciplinary Trends in Artificial Intelligence (MIWAI), The 14th International Conference on, 71-80. doi: https://doi.org/10.1007/978-3-030-80253-0_7
• Sombattheera, C. (2021). Improving Safety and Efficiency for Navigation in Multiagent Systems. in Artificial Intelligence, in Multi-disciplinary Trends in Artificial Intelligence (MIWAI), The 14th International Conference on, 176-187. doi: https://doi.org/10.1007/978-3-030-80253-0_16
• Khamket, T. and Surinta, O. (2020). Comparative Study Between Texture Feature and Local Feature Descriptors for Silk Fabric Pattern Image Recognition, in Information Science and System (ICISS), The 3rd International Conference on, 93-98. slide, video, https://doi.org/10.1145/3388176.3388201
• Gonwirat, S. and Surinta, O. (2020). Improving Recognition of Thai Handwritten Characters with Deep Convolutional Neural Networks, in Information Science and System (ICISS), The 3rd International Conference on, 82-87. slide, video, https://doi.org/10.1145/3388176.3388181
• Noppitak, S., Gonwirat, S., and Surinta, O. (2020). Instance Segmentation of Water Body from Aerial Image using Mask Region-based Convolutional Neural Network, in Information Science and System (ICISS), The 3rd International Conference on, 61-66. slide, video, https://doi.org/10.1145/3388176.3388184
• Chompookham, T., Gonwirat, S., Lata, S., Phiphiphatphaisit, S., and Surinta, O. (2020). Plant Leaf Image Recognition using Multiple-grid Based Local Descriptor and Dimensionality Reduction Approach, in Information Science and System (ICISS), The 3rd International Conference on, 72-77. slide, video, https://doi.org/10.1145/3388176.3388180
• Phiphiphatphaisit, S. and Surinta, O. (2020). Food Image Classification with Improved MobileNet Architecture and Data Augmentation, in Information Science and System (ICISS), The 3rd International Conference on, 51-56. slide, video, https://doi.org/10.1145/3388176.3388179
• Khunthi, S., Saichua, P. and Surinta, O. (2019). Effective Face Verification Systems based on Histogram of Oriented Gradients and Deep Learning Techniques, in Artificial Intelligence and Natural Language Processing (iSAI-NLP), The 14th International Joint Symposium on, 215-219.  slide, doi: https://doi.org/10.1109/iSAI-NLP48611.2019.9045237
• Surinta, O. and Khamket, T. (2019). Gender Recognition from Facial Images using Local Gradient Feature Descriptors, in Artificial Intelligence and Natural Language Processing (iSAI-NLP), The 14th International Joint Symposium on, 346-351.  slide, doi: https://doi.org/10.1109/iSAI-NLP48611.2019.9045689
• Khruahong, S. and Surinta, O. (2019). Develop the Framework Conception for Hybrid Indoor Navigation for Monitoring Inside Building using Quadcopter, in Artificial Intelligence and Natural Language Processing (iSAI-NLP), The 14th International Joint Symposium on, 352-357.  slide, pdf, doi: https://doi.org/10.1109/iSAI-NLP48611.2019.9045445
• Surinta, O. and Khamket, T. (2019). Recognizing Pornographic Images using Deep Convolutional Neural Networks. in Digital Arts, Media and Technology (ICDAMT), The 4th International Conference on, 150-154.  slide, doi: https://doi.org/10.1109/ECTI-NCON.2019.8692296
• Roempluk, T. and Surinta, O. (2019). A Machine Learning Approach for Detecting Distributed Denial of Service Attacks. in Digital Arts, Media and Technology (ICDAMT), The 4th International Conference on, 146-149.  slide, doi: http://doi.org/10.1109/ECTI-NCON.2019.8692243
• Surinta, O. and Khruahong, S. (2019). Tracking People and Objects with an Autonomous Unmanned Aerial Vehicle using Face and Color Detection. in Digital Arts, Media and Technology (ICDAMT), The 4th International Conference on, 206-120.  slide, doi: http://doi.org/10.1109/ECTI-NCON.2019.8692269
• Sudkhow, P. and Sombattheera, C. (2019). A Crowd Simulation in Large Space Urban, in Information Technology (InCIT), 3rd International Conference on, 1-8. http://dx.doi.org/10.23919/INCIT.2018.8584878
• Wongsim, M., Sonthiprasat, R., and Surinta, O. (2018). Factors Influencing the Adoption of Agricultural Management Information Systems in Thailand. in The 3rd Technology Innovation Management and Engineering Science International Conference (TIMES-iCON), 1-4. doi: http://doi.org/10.1109/TIMES-iCON.2018.8621831
• Intara, B. and Sombattheera, C. (2018). Fair Payoffs Distribution in Linear Production Game by Shapley Value, in Information Technology (InCIT), 3rd International Conference on, 1-8. http://dx.doi.org/10.23919/INCIT.2018.8584872