Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning. - Narit Hnoohom; Sakorn Mekruksavanich; Anuchit Jitpattanakul (SITIS, 2017)

Disturbance observer-based second order sliding mode attitude tracking control for flexible spacecraft. - Chutiphon Pukdeboon; Anuchit Jitpattanakul (Kybernetika, 2017)

Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (IEEE SENSORS, 2020)

Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs. - Sakorn Mekruksavanich; Anuchit Jitpattanakul; Phichai Youplao; Preecha P. Yupapin (Symmetry, 2020)

Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network. - Sakorn Mekruksavanich; Chanon Promsakon; Anuchit Jitpattanakul (JCSSE, 2021)

LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Sensors, 2021)

Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Sensors, 2021)

A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (ITQM, 2022)

Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (JCSSE, 2022)

A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (JCSSE, 2022)

A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration. - Sakorn Mekruksavanich; Ponnipa Jantawong; Ilsun You; Anuchit Jitpattanakul (KST, 2022)

Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors. - Narit Hnoohom; Pitchaya Chotivatunyu; Sakorn Mekruksavanich; Anuchit Jitpattanakul (MIWAI, 2022)

Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks. - Narit Hnoohom; Nagorn Maitrichit; Sakorn Mekruksavanich; Anuchit Jitpattanakul (MIWAI, 2022)

Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (MIWAI, 2022)

Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (MIWAI, 2022)

Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (TSP, 2022)

Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (TSP, 2022)

ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors. - Sakorn Mekruksavanich; Anuchit Jitpattanakul; Kanokwan Sitthithakerngkiet; Phichai Youplao; Preecha P. Yupapin (IEEE Access, 2022)

Sport-Related Activity Recognition from Wearable Sensors Using Bidirectional GRU Network. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2022)

ACF: An Armed CCTV Footage Dataset for Enhancing Weapon Detection. - Narit Hnoohom; Pitchaya Chotivatunyu; Anuchit Jitpattanakul (Sensors, 2022)

Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Sensors, 2022)

Enhancing Sensor-Based Human Activity Recognition using Efficient Channel Attention. - Anuchit Jitpattanakul; Sakorn Mekruksavanich (SENSORS, 2023)

Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (JCSSE, 2023)

Deep Learning Networks for Complex Activity Recognition Based on Wrist-Worn Sensor. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (TENCON, 2023)

Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network. - Sakorn Mekruksavanich; Datchakorn Tancharoen; Anuchit Jitpattanakul (TENCON, 2023)

Deep Learning Approaches for Epileptic Seizures Recognition based on EEG Signal. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (TSP, 2023)

Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (TSP, 2023)

Free-Weight Exercise Activity Recognition using Deep Residual Neural Network based on Sensor Data from In-Ear Wearable Devices. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (TSP, 2023)

A Comparative Study of Deep Learning Robustness for Sensor-based Human Activity Recognition. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (TSP, 2023)

An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch. - Narit Hnoohom; Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

Pre-Impact and Impact Fall Detection Based on a Multimodal Sensor Using a Deep Residual Network. - Narit Hnoohom; Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

A Comprehensive Evaluation of State-of-the-Art Deep Learning Models for Road Surface Type Classification. - Narit Hnoohom; Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

Driving Activity Classification Using Deep Residual Networks Based on Smart Glasses Sensors. - Narit Hnoohom; Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

Deep Pyramidal Residual Network for Indoor-Outdoor Activity Recognition Based on Wearable Sensor. - Sakorn Mekruksavanich; Narit Hnoohom; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

Automatic Recognition of Construction Worker Activities Using Deep Learning Approaches and Wearable Inertial Sensors. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Intell. Autom. Soft Comput., 2023)

A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Comput., 2023)

Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Mach. Learn. Knowl. Extr., 2023)

A Deep Multi-Task Learning Network for Activity Recognition and User Identification Using Smartphone Sensors. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (CENTERIS/ProjMAN/HCist, 2024)

LowResIR-Net: Lightweight Residual Network for ADL Recognition Using Low-Resolution Infrared Sensor Data. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (CENTERIS/ProjMAN/HCist, 2024)

Modeling Life Insurance Business Growth in Thailand using SARIMAX and Multilayer Perceptron. - Wikanda Phaphan; Anuchit Jitpattanakul; Supika Huadsri; Kamon Budsaba; Wiyada Phapan; Sakorn Mekruksavanich (ICCAE, 2024)

Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (ICCSA (2), 2024)

Optimizing On-Body Sensor Placements for Deep Learning-Driven Human Activity Recognition. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (ICCSA (2), 2024)

Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. - Narit Hnoohom; Sakorn Mekruksavanich; Thanaruk Theeramunkong; Anuchit Jitpattanakul (ICIEI, 2024)

Multimodal Stress and Boredom Detection via Smartwatch Sensors and Hybrid Deep Residual Network with CBAM. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (IEEE SENSORS, 2024)

MotionNeXt: A Deep Learning Neural Network for Recognizing Human Motions Related Activities Using Inertial Sensors. - Sakorn Mekruksavanich; Datchakorn Tancharoen; Anuchit Jitpattanakul (ISCIT, 2024)

Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals. - Sakorn Mekruks Avanich; Wikanda Phaphan; Anuchit Jitpattanakul (TSP, 2024)

A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (TSP, 2024)

Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (TSP, 2024)

Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (TSP, 2024)

Detecting Face-Touching Gestures with Smartwatches and Deep Learning Networks. - Sakorn Mekruksavanich; Wikanda Phaphan; Anuchit Jitpattanakul (TSP, 2024)

Enhancing Quality Control: A Study on AI and Human Performance in Flip Chip Defect Detection. - Wannisa Cheamsiri; Anuchit Jitpattanakul; Paisarn Muneesawang; Konlakorn Wongpatikaseree; Narit Hnoohom (IEEE Access, 2024)

YOLO-Based Image Segmentation for the Diagnostic of Spondylolisthesis From Lumbar Spine X-Ray Images. - Arnik Vephasayanant; Anuchit Jitpattanakul; Paisarn Muneesawang; Konlakorn Wongpatikaseree; Narit Hnoohom (IEEE Access, 2024)

Wearable Sensor-Based Behavioral User Authentication Using a Hybrid Deep Learning Approach with Squeeze-and-Excitation Mechanism. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Comput., 2024)

Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Inf., 2024)

Recognition of sports and daily activities through deep learning and convolutional block attention. - Sakorn Mekruksavanich; Wikanda Phaphan; Narit Hnoohom; Anuchit Jitpattanakul (PeerJ Comput. Sci., 2024)

Deep Residual Network with a CBAM Mechanism for the Recognition of Symmetric and Asymmetric Human Activity Using Wearable Sensors. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Symmetry, 2024)

A residual deep learning network for smartwatch-based user identification using activity patterns in daily living. - Sakorn Mekruksavanich; Anuchit Jitpattanakul (Comput. Electr. Eng., 2025)