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Construction and analysis of a joint diagnostic model of machine learning for cryptorchidism based on single-cell sequencing Journal article
Chen, Yuehua, Zhou, Xiaomeng, Ji, Linghua, Zhao, Jun, Xian, Hua, Xu, Yunzhao, Wang, Ziheng, Ge, Wenliang. Construction and analysis of a joint diagnostic model of machine learning for cryptorchidism based on single-cell sequencing[J]. Birth Defects Research, 2024, 116(3), e2316.
Authors:  Chen, Yuehua;  Zhou, Xiaomeng;  Ji, Linghua;  Zhao, Jun;  Xian, Hua; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:1.6/2.7 | Submit date：2024/04/02
Cryptorchidism  Machine Learning  Random Forest Model  Rna-sequencing  Single-cell Sequencing  
Hestia: A Cost-Effective Multi-dimensional Resource Utilization for Microservices Execution in the Cloud Conference paper
Huang, Jiahua, Kent, Kenneth B., Yen, Jerome, Wang, Yang. Hestia: A Cost-Effective Multi-dimensional Resource Utilization for Microservices Execution in the Cloud[C]. Ye K., Zhang L.-J.:Springer Science and Business Media Deutschland GmbH, 2022, 22-38.
Authors:  Huang, Jiahua;  Kent, Kenneth B.;  Yen, Jerome;  Wang, Yang
Favorite | TC[Scopus]:1 | Submit date：2023/03/06
Resource Allocation  Dynamic Programming  Single-machine  
Single-machine scheduling problems with a batch-dependent aging effect and variable maintenance activities Journal article
Mingbao Cheng, Shuxian Xiao, Renfei Luo, Zhaotong Lian. Single-machine scheduling problems with a batch-dependent aging effect and variable maintenance activities[J]. International Journal of Production Research, 2017, 56(23), 7051-7063.
Authors:  Mingbao Cheng;  Shuxian Xiao;  Renfei Luo;  Zhaotong Lian
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:7.0/8.3 | Submit date：2019/08/01
Ageing Effect  Batch-dependent  Heuristic  Maintenance Activity  Scheduling  Single-machine  
Broad Learning System: structural extensions on single-layer and multi-layer neural networks Conference paper
Liu, Zhulin, Chen, C. L. Philip, IEEE. Broad Learning System: structural extensions on single-layer and multi-layer neural networks[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 136-141.
Authors:  Liu, Zhulin;  Chen, C. L. Philip;  IEEE
Favorite | TC[WOS]:36 TC[Scopus]:49 | Submit date：2018/10/30
Single Layer Feedforward Neural Networks  Random Vector Functional Link Networks  Broad Learning System  Incremental Learning  Extremal Learning Machine  Radial Basis Function Networks  Hierarchical Extremal Learning Machine  
Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT Conference paper
Pengbo Zhang, Zhixin Yang. Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT[C], 2014.
Authors:  Pengbo Zhang;  Zhixin Yang
Favorite | TC[Scopus]:0 | Submit date：2019/04/02
Extreme Learning Machine  Single-hidden Layer Feedforward Networks  Self-adaptive Adaboost.rt Algorithm  Regression  Ensemble  
CSET automated negotiation model for optimal supply chain formation Journal article
Yang Hang, Simon Fong, Zhuang Yan. CSET automated negotiation model for optimal supply chain formation[J]. World Review of Science, Technology and Sustainable Development, 2010, 7(1-2), 67-78.
Authors:  Yang Hang;  Simon Fong;  Zhuang Yan
Favorite | TC[Scopus]:3 | Submit date：2019/02/13
Automated Negotiation  Dynamic Supply Chain Formation  Cset Model  Collaborative Agent  Collaboration  Supply Chain Management  Scm  Single Machine Earliness  Single Machine Tardiness  Agent-based Systems  Multi-agent Systems  Mas