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Okeke Stephen
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2020 – today
- 2023
- [j3]Okeke Stephen, Minh Nguyen:
A Unified Efficient Deep Learning Architecture for Rapid Safety Objects Classification Using Normalized Quantization-Aware Learning. Sensors 23(21): 8982 (2023) - [c5]Okeke Stephen, Minh Nguyen:
Enhancing Safety During Surgical Procedures with Computer Vision, Artificial Intelligence, and Natural Language Processing. PSIVT 2023: 408-421 - 2022
- [j2]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification. Sensors 22(20): 7846 (2022) - [j1]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler. Sensors 22(24): 9971 (2022) - [c4]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data using Bidirectional Gated Recurrent Neural Network in Healthcare. ICSBT 2022: 26-32
2010 – 2019
- 2019
- [c3]Okeke Stephen, Young Jick Jang, Tae Soo Yun, Mangal Sain:
Depth-Wise Based Convolutional Neural Network for Street Imagery Digit Number Classification. CSE/EUC 2019: 133-137 - [c2]Okeke Stephen, Uchenna Joseph Maduh, Sanjar Ibrokhimov, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain:
A Multiple-Loss Dual-Output Convolutional Neural Network for Fashion Class Classification. ICACT 2019: 408-412 - [c1]Okeke Stephen, Deepanjali Mishra, Mangal Sain:
Real Time object detection and multilingual speech synthesis. ICCCNT 2019: 1-3
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