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A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS Journal article
LI JUNDE, XIN GUOQIANG, YU WEI HAN, UN KA FAI, RUI P MARTINS, MAK PUI IN. A 512-nW 0.003-mm2 Forward-Forward Black Box Trainer for an Analog Voice Activity Detector in 28-nm CMOS[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71(11), 4703-4707.
Authors:  LI JUNDE;  XIN GUOQIANG;  YU WEI HAN;  UN KA FAI;  RUI P MARTINS; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/08/29
Voice Activity Detection  Convolution Neural Network  Edge Learning  Forward-forward Algorithm  Black Box Training  Back Propagation  
Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation Journal article
Ying Wang, Qun Wu, Nilanjan Dey, Simon Fong, Amira S. Ashour. Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation[J]. Biocybernetics and Biomedical Engineering, 2020, 40(3), 987-1001.
Authors:  Ying Wang;  Qun Wu;  Nilanjan Dey;  Simon Fong;  Amira S. Ashour
Favorite | TC[WOS]:41 TC[Scopus]:51  IF:5.3/5.6 | Submit date：2021/03/09
Semg  Long Short-term Memory Neural Networks  Back-propagation  Waveform Segmentation  Deep Learning  Rehabilitation  
Modeling the nonlinear relationship between structure and process quality features in Chinese preschool classrooms Journal article
Shuang Wang, Bi Ying Hu, Jeniffer LoCasale-Crouch. Modeling the nonlinear relationship between structure and process quality features in Chinese preschool classrooms[J]. Children and Youth Services Review, 2020, 109, 104677.
Authors:  Shuang Wang;  Bi Ying Hu;  Jeniffer LoCasale-Crouch
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:2.4/3.0 | Submit date：2021/02/15
Back-propagation Neural Network  Structural Quality  Teacher-child Interaction Quality  Chinese Preschool  Nonlinear System  
High-accuracy automated diagnosis of Parkinson’s disease Journal article
Ozsahin,Ilker, Sekeroglu,Boran, Pwavodi,Pwadubashiyi Coston, Mok,Greta S.P.. High-accuracy automated diagnosis of Parkinson’s disease[J]. Current Medical Imaging Reviews, 2020, 16(6), 688-694.
Authors:  Ozsahin,Ilker;  Sekeroglu,Boran;  Pwavodi,Pwadubashiyi Coston;  Mok,Greta S.P.
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:1.1/1.0 | Submit date：2021/03/11
Back Propagation  Dopamine Transporter  Image Preparation  Neural Network  Parkinson’s Disease  Spect  
Classifying 3D objects in LiDAR point clouds with a back-propagation neural network Journal article
Wei Song, Shuanghui Zou, Yifei Tian, Simon Fong, Kyungeun Cho. Classifying 3D objects in LiDAR point clouds with a back-propagation neural network[J]. HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2018, 8.
Authors:  Wei Song;  Shuanghui Zou;  Yifei Tian;  Simon Fong;  Kyungeun Cho
Favorite | TC[WOS]:26 TC[Scopus]:25  IF:3.9/4.9 | Submit date：2018/10/31
3d Object Recognition  Back-propagation Neural Network  Feature Extraction  Lidar Point Cloud  
Compressed auto-encoder building block for deep learning network Conference paper
Feng Q., Chen C.L.P., Chen L.. Compressed auto-encoder building block for deep learning network[C], 2016, 131-136.
Authors:  Feng Q.;  Chen C.L.P.;  Chen L.
Favorite | TC[WOS]:1 TC[Scopus]:4 | Submit date：2019/02/11
Back Propagation  Bidirectional Gradient Decent  Compressed Auto-encoder  Rbm  
Optimize real-valued RBM with Bidirectional Autoencoder Conference paper
Feng Q., Chen L., Chen C.L.P.. Optimize real-valued RBM with Bidirectional Autoencoder[C], 2016, 22-27.
Authors:  Feng Q.;  Chen L.;  Chen C.L.P.
Favorite | TC[WOS]:1 TC[Scopus]:0 | Submit date：2019/02/11
Back Propagation  Bidirectional Autoencoder  Rbm Optimization  Sgd  
ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm—ISABoost based application in scene categorization Journal article
Xueming Qian, Yuan Yan Tang, Zhe Yan, Kaiyu Hang. ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm—ISABoost based application in scene categorization[J]. Neurocomputing, 2013, 103, 104-113.
Authors:  Xueming Qian;  Yuan Yan Tang;  Zhe Yan;  Kaiyu Hang
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:5.5/5.5 | Submit date：2019/04/30
Adaboost  Scene Categorization  Pattern Classification  Back-propagation Networks  Svm  Weight Learning  
QRS COMPLEX DETECTOR USING ARTIFICIAL NEURAL NETWORK Conference paper
Ieong Chio In, Wan Feng, Vai Mang I, Mak Peng Un. QRS COMPLEX DETECTOR USING ARTIFICIAL NEURAL NETWORK[C], 2006.
Authors:  Ieong Chio In;  Wan Feng;  Vai Mang I;  Mak Peng Un
Favorite |  | Submit date：2019/03/14
Qrs Complex Detector  Neural Network  Levenberg-marquardt Back Propagation  Mitbih Arrhythmia Database