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Author

Minh Nguyen Ngoc

Observed names: Minh Nguyen-Ngoc, Nguyen-Ngoc Minh
ORCID: 0000-0002-7446-2131
Observed ORCID: 0000-0002-7446-2131
OpenAlex ID: A5136346281
Energy-Efficient TinyML Approach for Wearable Fall Detection on Edge Devices Using Spatial-Temporal Deep Learning
2026 · Luong-Cong Duan, Nguyen-Ngoc Minh, et al. · International Journal of Technology · 4
A Compact Dual-IMU Fall Detection Model for TinyML Deployment at Low Sampling Rates
2025 · Duan Luong-Cong, Minh Nguyen-Ngoc · International Conference on Applying New Technology in Green Buildings (ATiGB) · 1
A Cascaded CNN-ResNet Architecture for Computation-Aware Fall Detection on TinyML Wearable Devices
2026 · Duan Luong-Cong, Minh Nguyen-Ngoc, et al. · Information Technology And Control
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Design and Implementation of a TinyML-Enabled Smart Scale for Real-Time Fruit Recognition
2026 · Bien Nguyen Quang, Thang Dang Huu, et al. · Lecture notes in networks and systems
A Scalable and Low Cost Sound Analysis System for Real Time Fall Detection
2026 · Luong-Cong Duan, Nguyen-Quang Bien, et al. · Lecture notes in networks and systems
Low-Power Edge AI System for Long-Term Autonomous Mechanical Water Meter Reading on Embedded Devices
2026 · Bien Nguyen Quang, Thang Dang Huu, et al. · Springer Link (Chiba Institute of Technology)
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Embedded ECG Arrhythmia Detection with Tiny CNN-LSTM for Continuous Telehealth Services
2026 · Thang Dang-Huu, Long Nguyen-Tuan, et al. · International Conference on Applying New Technology in Green Buildings (ATiGB)
Low-Power Edge AI System for Long-Term Autonomous Mechanical Water Meter Reading on Embedded Devices
2026 · Bien Nguyen Quang, Thang Dang Huu, et al. · E3S Web of Conferences
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CNN-FIFO-LSTM: An Energy-Efficient Hybrid Architecture for Real-Time Fall Detection on Edge Devices
2026 · Duan Luong Cong, Cuong Chu Van, et al. · IEEE Access
Development of a TinyML-based Device for Automatic Detection of Poultry Diseases using Chicken Vocalizations
2026 · Minh Nguyen-Ngoc, Bien Nguyen-Quang, et al. · ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA)
PDF
Hybrid CNN-Random Forest Approach for Accurate and Deployable Fall Detection on Embedded Systems
2025 · Duan Luong-Cong, Minh Nguyen-Ngoc, et al. · International Conference on Advanced Technologies for Communications
Works count: 11
Citation count: 5
H-index: 1
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