| Lstm networks using smartphone data for sensor-based human activity recognition in smart homes S Mekruksavanich, A Jitpattanakul Sensors 21 (5), 1636, 2021 | 304 | 2021 |
| Biometric user identification based on human activity recognition using wearable sensors: An experiment using deep learning models S Mekruksavanich, A Jitpattanakul Electronics 10 (3), 308, 2021 | 196 | 2021 |
| Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data S Mekruksavanich, A Jitpattanakul Electronics 10 (14), 1685, 2021 | 117 | 2021 |
| Smartwatch-based human activity recognition using hybrid lstm network S Mekruksavanich, A Jitpattanakul 2020 IEEE SENSORS, 1-4, 2020 | 110 | 2020 |
| Enhanced hand-oriented activity recognition based on smartwatch sensor data using lstms S Mekruksavanich, A Jitpattanakul, P Youplao, P Yupapin Symmetry 12 (9), 1570, 2020 | 86 | 2020 |
| Resnet-se: Channel attention-based deep residual network for complex activity recognition using wrist-worn wearable sensors S Mekruksavanich, A Jitpattanakul, K Sitthithakerngkiet, P Youplao, ... IEEE Access 10, 51142-51154, 2022 | 78 | 2022 |
| Deep learning approaches for continuous authentication based on activity patterns using mobile sensing S Mekruksavanich, A Jitpattanakul Sensors 21 (22), 7519, 2021 | 78 | 2021 |
| Negative emotion recognition using deep learning for thai language S Mekruksavanich, A Jitpattanakul, N Hnoohom 2020 joint international conference on digital arts, media and technology …, 2020 | 74 | 2020 |
| Multimodal wearable sensing for sport-related activity recognition using deep learning networks S Mekruksavanich, A Jitpattanakul Journal of Advances in Information Technology 13, 2022 | 61 | 2022 |
| Smartwatch-based sitting detection with human activity recognition for office workers syndrome S Mekruksavanich, N Hnoohom, A Jitpattanakul 2018 International ECTI Northern Section Conference on Electrical …, 2018 | 57 | 2018 |
| Deep residual network for smartwatch-based user identification through complex hand movements S Mekruksavanich, A Jitpattanakul Sensors 22 (8), 3094, 2022 | 55 | 2022 |
| Exercise activity recognition with surface electromyography sensor using machine learning approach S Mekruksavanich, A Jitpattanakul 2020 Joint International Conference on Digital Arts, Media and Technology …, 2020 | 51 | 2020 |
| Sport-Related Activity Recognition from Wearable Sensors Using Bidirectional GRU Network. S Mekruksavanich, A Jitpattanakul Intelligent Automation & Soft Computing 34 (3), 2022 | 48 | 2022 |
| Rnn-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition S Mekruksavanich, A Jitpattanakul Mathematical Biosciences and Engineering 19 (6), 5671-5698, 2022 | 48 | 2022 |
| An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch. N Hnoohom, S Mekruksavanich, A Jitpattanakul Intelligent Automation & Soft Computing 35 (1), 2023 | 47 | 2023 |
| Cnn-based deep learning network for human activity recognition during physical exercise from accelerometer and photoplethysmographic sensors S Mekruksavanich, A Jitpattanakul Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021, 531-542, 2022 | 47 | 2022 |
| A multichannel cnn-lstm network for daily activity recognition using smartwatch sensor data S Mekruksavanich, A Jitpattanakul 2021 Joint International Conference on Digital Arts, Media and Technology …, 2021 | 45 | 2021 |
| Fallnext: A deep residual model based on multi-branch aggregation for sensor-based fall detection S Mekruksavanich, A Jitpattanakul ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16 (4 …, 2022 | 43 | 2022 |
| A hybrid deep residual network for efficient transitional activity recognition based on wearable sensors S Mekruksavanich, N Hnoohom, A Jitpattanakul Applied Sciences 12 (10), 4988, 2022 | 43 | 2022 |
| Medical expert system based ontology for diabetes disease diagnosis S Mekruksavanich 2016 7th IEEE International Conference on Software Engineering and Service …, 2016 | 41 | 2016 |
Anuchit JitpattanakulDepartment of Mathematics, King Mongkut's University of Technology North BangkokEmail verificata su sci.kmutnb.ac.th