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Chengye Li
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2020 – today
- 2024
- [j35]Xinsen Zhou, Yi Chen, Wenyong Gui, Ali Asghar Heidari, Zhennao Cai, Mingjing Wang, Huiling Chen, Chengye Li:
Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis. Artif. Intell. Medicine 153: 102886 (2024) - [j34]Hongliang Guo, Zhiyao Zhang, Iman Ahmadianfar, José Escorcia-Gutierrez
, Nojood O. Aljehane, Chengye Li:
Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization. Comput. Biol. Medicine 169: 107888 (2024) - [j33]Jie Xing, Chengye Li, Peiliang Wu, Xueding Cai, Jinsheng Ouyang:
Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography. Comput. Biol. Medicine 171: 108038 (2024) - [j32]Chengye Li, Zhifeng Zhou, Lingxian Hou, Keli Hu
A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics. Comput. Biol. Medicine 178: 108638 (2024) - [j31]Chengye Li, Hanbin Chen, Xiaojian Chen
Identification of inflammatory response-related molecular mechanisms based on the ATM/ATR/p53 pathway in tumor cells. Comput. Biol. Medicine 180: 108776 (2024) - 2023
- [j30]Lingxian Hou, Ruohe Li, Majdi M. Mafarja, Ali Asghar Heidari
Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer. Biomed. Signal Process. Control. 82: 104511 (2023) - [j29]Xiaona Xie, Qianzi Liu, Xuehua Zhou, Rongtao Liang, Shengbo Yang, Min Xu, Haiyang Zhao, Chengye Li, Yanfan Chen, Xueding Cai:
Comprehensive analysis of cuproptosis-related genes in immune infiltration and prognosis in lung adenocarcinoma. Comput. Biol. Medicine 158: 106831 (2023) - [j28]Chengye Li
Ground Deformation and Permafrost Degradation in the Source Region of the Yellow River, in the Northeast of the Qinghai-Tibet Plateau. Remote. Sens. 15(12): 3153 (2023) - 2022
- [j27]Xiaowei Chen, Hui Huang, Ali Asghar Heidari
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images. Comput. Biol. Medicine 142: 105179 (2022) - [j26]Hang Su, Dong Zhao, Fanhua Yu, Ali Asghar Heidari
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images. Comput. Biol. Medicine 142: 105181 (2022) - [j25]Qihang Ma
DGRUnit: Dual graph reasoning unit for brain tumor segmentation. Comput. Biol. Medicine 149: 106079 (2022) - [j24]Hongliang Zhang
A multi-strategy enhanced salp swarm algorithm for global optimization. Eng. Comput. 38(2): 1177-1203 (2022) - [j23]Xi Liang, Zhennao Cai, Mingjing Wang
Chaotic oppositional sine-cosine method for solving global optimization problems. Eng. Comput. 38(2): 1223-1239 (2022) - [j22]Chengye Li, Lingxian Hou, Jingye Pan, Huiling Chen, Xueding Cai, Guoxi Liang:
Tuberculous pleural effusion prediction using ant colony optimizer with grade-based search assisted support vector machine. Frontiers Neuroinformatics 16 (2022) - 2021
- [j21]Peiliang Wu
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study. IEEE Access 9: 45486-45503 (2021) - [j20]Songwei Zhao, Pengjun Wang, Ali Asghar Heidari
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. Comput. Biol. Medicine 134: 104427 (2021) - [j19]Lei Liu
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation. Comput. Biol. Medicine 136: 104609 (2021) - [j18]Mohammed Azmi Al-Betar
Survival exploration strategies for Harris Hawks Optimizer. Expert Syst. Appl. 168: 114243 (2021) - [j17]Yun Liu, Yanqing Shi, Hao Chen, Ali Asghar Heidari
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies. Expert Syst. Appl. 168: 114369 (2021) - [j16]Yanan Zhang, Renjing Liu, Xin Wang
Boosted binary Harris hawks optimizer and feature selection. Eng. Comput. 37(4): 3741-3770 (2021) - 2020
- [j15]Hua Tang, Yueting Xu
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers. IEEE Access 8: 35546-35562 (2020) - [j14]Guomin Liu, Wenyuan Jia, Mingjing Wang
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine. IEEE Access 8: 46895-46908 (2020) - [j13]Wei Zhu, Chao Ma, Xuehua Zhao
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine. IEEE Access 8: 61107-61123 (2020) - [j12]Yan Wei, Huijing Lv, Meng-Xiang Chen, Mingjing Wang
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer. IEEE Access 8: 76841-76855 (2020) - [j11]Xiang Zhang, Yueting Xu, Caiyang Yu, Ali Asghar Heidari
Gaussian mutational chaotic fruit fly-built optimization and feature selection. Expert Syst. Appl. 141 (2020) - [j10]Yi Fan
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis. Expert Syst. Appl. 157: 113486 (2020) - [j9]Yi Fan
Boosted hunting-based fruit fly optimization and advances in real-world problems. Expert Syst. Appl. 159: 113502 (2020) - [j8]Caiyang Yu, Zhennao Cai, Xiaojia Ye, Mingjing Wang
Quantum-like mutation-induced dragonfly-inspired optimization approach. Math. Comput. Simul. 178: 259-289 (2020)
2010 – 2019
- 2019
- [j7]Qian Zhang, Huiling Chen
Chaos-Induced and Mutation-Driven Schemes Boosting Salp Chains-Inspired Optimizers. IEEE Access 7: 31243-31261 (2019) - [j6]Aiju Lin, Quanquan Wu, Ali Asghar Heidari
Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier. IEEE Access 7: 67235-67248 (2019) - [j5]Hui Huang, Xi'an Feng, Suying Zhou, Jionghui Jiang, Huiling Chen
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features. BMC Bioinform. 20-S(8): 290:1-290:14 (2019) - [j4]Yueting Xu, Huiling Chen
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks. Expert Syst. Appl. 129: 135-155 (2019) - [j3]Zhennao Cai, Jianhua Gu, Jie Luo, Qian Zhang, Huiling Chen
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy. Expert Syst. Appl. 138 (2019) - 2018
- [j2]Qian Zhang, Huiling Chen
Chaos Enhanced Bacterial Foraging Optimization for Global Optimization. IEEE Access 6: 64905-64919 (2018) - [j1]Chengye Li, Lingxian Hou, Bishundat Yanesh Sharma, Huaizhong Li, Chengshui Chen, Yuping Li, Xuehua Zhao
Developing a new intelligent system for the diagnosis of tuberculous pleural effusion. Comput. Methods Programs Biomed. 153: 211-225 (2018) - 2015
- [c3]Chengye Li, Yangyue Xiang, Jiangyong Shi:
A Model of Dynamic Malware Analysis Based on VMI. ICA3PP (Workshops and Symposiums) 2015: 465-475 - [c2]Jiangyong Shi, Yuexiang Yang, Chengye Li, Xiaolei Wang:
SPEMS: A Stealthy and Practical Execution Monitoring System Based on VMI. ICCCS 2015: 380-389 - [c1]Jiangyong Shi, Yuexiang Yang, Chengye Li:
A Disjunctive VMI Model Based on XSM. SmartCity 2015: 921-925
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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