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	Robust Monitor for Industrial IoT Condition Prediction 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者: Zhang, Xingwei; Tian, Hu; Zheng, Xiaolong; Zeng, Daniel Dajun 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/11/17 Perturbation methods Monitoring Industrial Internet of Things Training Predictive models Robustness Temperature sensors Adversarial perturbation adversarial training Industrial Internet of Things (IIoT) machine learning (ML) temporal convolutional network (TCN)
	Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655 作者: Wenxuan Guo 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/09/25 Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387 作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ)
	Machine Learning Methods in Solving the Boolean Satisfiability Problem 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655 作者: Wenxuan Guo; Hui-Ling Zhen; Xijun Li; Wanqian Luo; Mingxuan Yuan 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/04/23 Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
	A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 页码: 319-330 作者: Alessandro Giuseppi 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/07/29 Federated learning (FedL) deep learning federated averaging (FedAvg) machine learning (ML) artificial intelligence discrete-time consensus distributed systems
	A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330 作者: Alessandro Giuseppi; Sabato Manfredi; Antonio Pietrabissa 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/04/23 Federated learning (FedL) deep learning federated averaging (FedAvg) machine learning (ML) artificial intelligence discrete-time consensus distributed systems
	A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G 期刊论文 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 6, 页码: 5234-5243 作者: Zhang, Zhixia; Cao, Yang; Cui, Zhihua; Zhang, Wensheng; Chen, Jinjun 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/08/15 Intrusion detection Security 6G mobile communication Data models Protocols Optimization Encryption Controller area network (CAN) intrusion detection machine learning (ML) many-objective optimization vehicular networks security
	Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches 期刊论文 AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 297, 页码: 15 作者: Cao, Juan; Zhang, Zhao; Tao, Fulu; Zhang, Liangliang; Luo, Yuchuan 收藏 \| 浏览/下载：81/0 \| 提交时间：2021/03/15 Rice Google Earth Engine (GEE) Machine Learning (ML) Deep Learning (DL) Yield prediction Early warning system
	Integrated phenology and climate in rice yields prediction using machine learning methods 期刊论文 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: 11 作者: Guo, Yahui; Fu, Yongshuo; Hao, Fanghua; Zhang, Xuan; Wu, Wenxiang 收藏 \| 浏览/下载：76/0 \| 提交时间：2021/03/15 Early mature rice Machine learning (ML) methods Multiple linear regression (MLR) Rice yield prediction Phenology
	ParaML: A Polyvalent Multicore Accelerator for Machine Learning 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777 作者: Zhou, Shengyuan; Guo, Qi; Du, Zidong; Liu, Daofu; Chen, Tianshi 收藏 \| 浏览/下载：29/0 \| 提交时间：2020/12/10 Neural networks Machine learning Testing Support vector machines Linear regression Computers Computer architecture Accelerator machine learning (ML) techniques multicore accelerator

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