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UM OAPS - Outstanding academic Papers by Students
Browsing by Author Department of Electrical and Computer Engineering
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Showing results 5 to 24 of 31
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Issue Date
Title
Author(s)
2017
Adaptive Control of Autonomous Vehicles
ZHU, XUANZHI (朱軒志)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2014
Adaptive Fourier Decomposition Approach to ECG Denoising
WANG, ZE (王澤)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2015
Alpha Down-Regulation Neurofeedback_Its Effects on Short Term Memory and Learning Predictors
TANG, QI (唐旗)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2015
Comparison of Visual Tracking Algorithms and Realization of Online Tracking System
ZHOU, YINGSI (周穎思)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2023-05
Data-Driven Modeling and Operation of Complex Energy Networks
HUANG, YONG YU(黃泳鈺)
;
CHEONG, WANG(張弘)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2023-05
Development and Analysis of a Drone Control Interface Using EMG Sensor and Arduino Uno R3
CHEANG, KEI CHEONG(鄭其昌)
;
CHE, KAM UN(謝錦源)
;
CHEN, ZE TENG(陳澤騰)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2014
Electromagnetic Interference Resisting Circuit
YANG, SHIHENG (楊世恒)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2021
Emotion Specific Sub-network with Multi-dimension Features in Emotion Recognition
JIA, GU FENG(賈谷豐)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2014
An Exploration of Heart Sound Denoising Method Based on Dynamic Wavelet Shrinkage and Singular Spectrum Analysis
ZENG, TAO (曾韜)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2017
Fully Integrated High Voltage MEMS Drivers in CMOS
LEI, KA CHON (李家俊)
;
LEONG, HOU MAN (梁灝文)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2015
Generalized RFID Control Using Posture Effect on Tag Detection for Vision Impaired
IP, CHUN IN (葉晉言)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2017
Individual Alpha Peak Frequency Neurofeedback Training Improves Cognitioin: A Sham-Controlled Study in Healthy Adults
LI, BENZHENG (李本正)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2021
Indoor navigation system for visually impaired using UHF RFID (Outstanding Academic Papers by Students
CHAN, TAK CHON(陳德晉)
;
IO, HONG WAI(姚鴻偉)
;
FONG, CHU PO(馮鑄波)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2020
Indoor Positioning for RFID using Machine Learning
KONG, MAN LONG(龔文龍)
;
HO, CHON HEI(何竣浠)
;
IEONG, IO NENG(楊耀寧)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2020
Inductive Power Transfer System For Wireless Battery Charging
IAM, IO WA(任耀華)
;
HOI, IOK U(許旭宇)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2015
Landing on a Moving Target using Image-Based Visual Servo Control
TANG, ZHIQI (唐之棋)
;
LI, LINQIAN (李林謙)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2020
A Low Power Relaxation Oscillator Exploiting Diode to Achieve Temperature Stability
TAM, KUOK CHO(譚國楚)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2021
Machine Learning Based Edge AI for IoT
CHENG, OON FUNG(鄭渙楓)
;
XIN, GUO QIANG(辛國強)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2021
Methodology of inductive power transfer asymmetrical coils design for space-constrained applications
WONG, HOU WA(黃濠華)
;
LEONG, KIN IONG(梁建勇)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology
2020
Neural Network Implementation by Hardware
LI, TING WEI(李廷瑋)
;
Department of Electrical and Computer Engineering
;
Faculty of Science and Technology