English | 繁體

Search in the results

UM

Browse/Search Results:  1-7 of 7 Help

Selected(0)Clear Items/Page:    Sort:
A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity Journal article
Wu, Hao, Chen, Yong, Yuan, Yiyang, Yue, Jinshan, Wang, Xinghua, Li, Xiaoran, Zhang, Feng. A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity[J]. IEEE Journal of Solid-State Circuits, 2024.
Authors:  Wu, Hao;  Chen, Yong;  Yuan, Yiyang;  Yue, Jinshan;  Wang, Xinghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/07/04
Accuracy  Artificial Intelligence  Artificial Intelligence (Ai)  Circuits  Cmos  Computing-in-memory (Cim)  Energy Efficiency  Energy Efficiency  Look-up Table (Lut)  Multiply-accumulation (Mac)  Neural Network (Nn)  Power Demand  Radix16  Table Lookup  Throughput  Unstructured Sparsity  Winograd Convolution  
Research on Multidimensional Causal Model of Environment in Macao Cotai City Ecological Reserve Conference paper
He, Cheng, Liu, Wenjian, Ren, Jia, Cui, Yani. Research on Multidimensional Causal Model of Environment in Macao Cotai City Ecological Reserve[C], 2023, 174-179.
Authors:  He, Cheng;  Liu, Wenjian;  Ren, Jia;  Cui, Yani
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
artificial intelligence  Bayesian network  causality  environmental decision-making and management  machine learning  
Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence Journal article
Bin Hu, Zhi-Hong Guan, Guanrong Chen, C. L. Philip Chen. Neuroscience and Network Dynamics Toward Brain-Inspired Intelligence[J]. IEEE Transactions on Cybernetics, 2022, 52(10), 10214-10227.
Authors:  Bin Hu;  Zhi-Hong Guan;  Guanrong Chen;  C. L. Philip Chen
Favorite | TC[WOS]:19 TC[Scopus]:26  IF:9.4/10.3 | Submit date：2022/11/07
Artificial Intelligence (Ai)  Complex Network  Dynamic Resilience  Hybrid Dynamic System  Learning  Neuroscience  
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence Journal article
Wu, Qingqing, Xu, Jie, Zeng, Yong, Ng, Derrick Wing Kwan, Al-Dhahir, Naofal, Schober, Robert, Swindlehurst, A. Lee. A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(10), 2912-2945.
Authors:  Wu, Qingqing;  Xu, Jie;  Zeng, Yong;  Ng, Derrick Wing Kwan;  Al-Dhahir, Naofal; et al.
Favorite | TC[WOS]:226 TC[Scopus]:297  IF:13.8/13.1 | Submit date：2021/11/22
5g-and-beyond 3d Cellular Networks  Aerial-terrestrial Integration  Communication  Network Intelligence  Sensing  Unmanned Aerial Vehicle (Uav)  
Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction Journal article
Li, Yikai, Zhang, Tong, Philip Chen, C. L.. Enhanced Broad Siamese Network for Facial Emotion Recognition in Human-Robot Interaction[J]. IEEE Transactions on Artificial Intelligence, 2021, 2(5), 413-423.
Authors:  Li, Yikai;  Zhang, Tong;  Philip Chen, C. L.
Favorite | TC[Scopus]:11
Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review Journal article
Yan, Tao, Wong, Pak Kin, Qin, Ye Ying. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review[J]. World Journal of Gastroenterology, 2021, 27(20), 2531-2544.
Authors:  Yan, Tao;  Wong, Pak Kin;  Qin, Ye Ying
Favorite | TC[WOS]:10 TC[Scopus]:14  IF:4.3/5.1 | Submit date：2021/12/07
Artificial Intelligence  Deep Learning  Convolutional Neural Network  Precancerous Lesions  Endoscopy  
Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans Journal article
Yan, Tao, Wong, Pak Kin, Ren, Hao, Wang, Huaqiao, Wang, Jiangtao, Li, Yang. Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans[J]. Chaos, Solitons and Fractals, 2020, 140(110153).
Authors:  Yan, Tao;  Wong, Pak Kin;  Ren, Hao;  Wang, Huaqiao;  Wang, Jiangtao; et al.
Favorite | TC[WOS]:72 TC[Scopus]:98  IF:5.3/5.4 | Submit date：2021/03/09
Covid-19 Pneumonia  Artificial Intelligence  Mutile-scale Convolutional Neural Network  Computed Tomography