中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共14条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
A deep learning model for structure-based bioactivity optimization and its application in the bioactivity optimization of a SARS-CoV-2 main protease inhibitor 期刊论文
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2025, 卷号: 291, 页码: 16
作者:  Yang, Zhenyu;  Wang, Kai;  Zhang, Guo;  Jiang, Yuanyuan;  Zeng, Rui;  Qiao, Jingxin;  Li, Yueyue;  Deng, Xinyue;  Xia, Ziyi;  Yao, Rui;  Zeng, Xiaoxi;  Zhang, Liyun;  Zhao, Yi;  Lei, Jian;  Chen, Runsheng
收藏  |  浏览/下载：1/0  |  提交时间：2025/06/25
Structure-based bioactivity optimization  Deep-learning model  SARS-CoV-2 main protease  Molecular scaffold  Pocket-StrMod  
UAV Trajectory Optimization for Large-Scale and Low-Power Data Collection: An Attention-Reinforced Learning Scheme 期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: 23, 期号: 4, 页码: 3009-3024
作者:  Zhu, Yuchen;  Yang, Bo;  Liu, Min;  Li, Zhongcheng
收藏  |  浏览/下载：17/0  |  提交时间：2024/12/06
Autonomous aerial vehicles  Sensors  Data collection  Energy consumption  Wireless communication  Optimization  Data models  Unmanned aerial vehicle  trajectory optimization  data collection  attention model  deep reinforcement learning  LoRa  
CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 卷号: 143, 页码: 14
作者:  Li, Guangli;  Ma, Xiu;  Yu, Qiuchu;  Liu, Lei;  Liu, Huaxiao;  Wang, Xueying
收藏  |  浏览/下载：29/0  |  提交时间：2023/12/04
On-device deep learning  Efficient neural networks  Model approximation and optimization  
Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms 期刊论文
GENOMICS PROTEOMICS & BIOINFORMATICS, 2023, 卷号: 21, 期号: 5, 页码: 913-925
作者:  Huang, Bin;  Kong, Lupeng;  Wang, Chao;  Ju, Fusong;  Zhang, Qi;  Zhu, Jianwei;  Gong, Tiansu;  Zhang, Haicang;  Yu, Chungong;  Zheng, Wei-Mou;  Bu, Dongbo
收藏  |  浏览/下载：23/0  |  提交时间：2024/05/20
Protein folding  Protein structure prediction  Deep learning  Transformer  Language model  
A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction 期刊论文
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2023, 页码: 23
作者:  Wang, Yongsheng;  Wu, Yuhao;  Xu, Hao;  Chen, Zhen;  Gao, Jing;  Xu, ZhiWei;  Li, Leixiao
收藏  |  浏览/下载：32/0  |  提交时间：2023/12/04
Wind power forecast  T-LSTNet_markov model  Deep learning  Time series analysis  
面向高能效加速器的二值化神经网络设计和训练方法 期刊论文
计算机辅助设计与图形学学报, 2023, 卷号: 35, 期号: 6, 页码: 961
作者:  李佳骏;  许浩博;  王郁杰;  肖航;  王颖;  韩银和;  李晓维
收藏  |  浏览/下载：23/0  |  提交时间：2024/05/20
binarized neural networks  deep learning  model training  neural network accelerators  二值化神经网络  深度学习  模型训练  神经网络加速器  
A Systematic View of Model Leakage Risks in Deep Neural Network Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 12, 页码: 3254-3267
作者:  Hu, Xing;  Liang, Ling;  Chen, Xiaobing;  Deng, Lei;  Ji, Yu;  Ding, Yufei;  Du, Zidong;  Guo, Qi;  Sherwood, Tim;  Xie, Yuan
收藏  |  浏览/下载：34/0  |  提交时间：2023/07/12
Domain-specific architecture  deep learning security  model security  
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 1, 页码: 14-28
作者:  Wang, Zhiyong;  Chai, Jinxiang;  Xia, Shihong
收藏  |  浏览/下载：49/0  |  提交时间：2021/12/01
Hidden Markov models  Data models  Training  Generators  Mathematical model  Recurrent neural networks  Animation  Deep learning  adversarial training  human motion modeling  synthesis and control  
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis 期刊论文
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725
作者:  Zhao, Lianhe;  Dong, Qiongye;  Luo, Chunlong;  Wu, Yang;  Bu, Dechao;  Qi, Xiaoning;  Luo, Yufan;  Zhao, Yi
收藏  |  浏览/下载：67/0  |  提交时间：2021/12/01
Multi-omics  Deep learning  Survival analysis  Prognosis prediction  Interpretable model  
Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3614-3626
作者:  Li, Guangli;  Ma, Xiu;  Wang, Xueying;  Liu, Lei;  Xue, Jingling;  Feng, Xiaobing
收藏  |  浏览/下载：73/0  |  提交时间：2021/12/01
Deep learning system  edge intelligence  model compression and acceleration  neural networks