Sakorn Mekruksavanich
Orcid: 0000-0002-3735-4262
According to our database1,
Sakorn Mekruksavanich
authored at least 42 papers
between 2017 and 2024.
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Bibliography
2024
Deep Residual Network with a CBAM Mechanism for the Recognition of Symmetric and Asymmetric Human Activity Using Wearable Sensors.
Symmetry, May, 2024
Recognition of sports and daily activities through deep learning and convolutional block attention.
PeerJ Comput. Sci., 2024
Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks.
Inf., 2024
Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties.
IEEE Access, 2024
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024
Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors.
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024
Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition.
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024
A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors.
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024
Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals.
Proceedings of the 47th International Conference on Telecommunications and Signal Processing, 2024
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals.
Proceedings of the 2024 9th International Conference on Information and Education Innovations, 2024
Optimizing On-Body Sensor Placements for Deep Learning-Driven Human Activity Recognition.
Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024
Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation.
Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024
Modeling Life Insurance Business Growth in Thailand using SARIMAX and Multilayer Perceptron.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024
2023
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches.
Mach. Learn. Knowl. Extr., December, 2023
A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors.
Comput., June, 2023
A Comparative Study of Deep Learning Robustness for Sensor-based Human Activity Recognition.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Free-Weight Exercise Activity Recognition using Deep Residual Neural Network based on Sensor Data from In-Ear Wearable Devices.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network.
Proceedings of the IEEE Region 10 Conference, 2023
Proceedings of the IEEE Region 10 Conference, 2023
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor.
Proceedings of the 20th IEEE International Joint Conference on Computer Science and Software Engineering, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
2022
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements.
Sensors, 2022
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors.
IEEE Access, 2022
Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices.
Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022
Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module.
Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration.
Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022
A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022
2021
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing.
Sensors, 2021
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes.
Sensors, 2021
Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021
2020
Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs.
Symmetry, 2020
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020
2017
Identifying Behavioral Design Flaws in Evolving Object-Oriented Software Using an Ontology-Based Approach.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017