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ORCIDMeiling Cai
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j8]Meiling Cai, Lin Zhao, Yan Qiang, Long Wang, Juanjuan Zhao:
CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer. Artif. Intell. Medicine 155: 102931 (2024)- 2023
- [j7]Lin Zhao, Kai Song, Yulan Ma, Meiling Cai, Yan Qiang, Jingyu Sun, Juanjuan Zhao:
A segmentation-based sequence residual attention model for KRAS gene mutation status prediction in colorectal cancer. Appl. Intell. 53(9): 10232-10254 (2023) - [j6]Meiling Cai, Lin Zhao, Yanan Zhang, Wei Wu, Liye Jia, Juanjuan Zhao, Qianqian Yang, Yan Qiang:
A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction. Int. J. Comput. Assist. Radiol. Surg. 18(10): 1857-1865 (2023) - [j5]Meiling Cai
, Lin Zhao, Guojie Hou, Yanan Zhang, Wei Wu, Liye Jia, Juanjuan Zhao, Long Wang, Yan Qiang:
FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data. Comput. Biol. Medicine 158: 106812 (2023) - [j4]Meiling Cai, Yaqin Shi, Jinping Liu, Jean Paul Niyoyita, Hadi Jahanshahi, Ayman A. Aly:
DRKPCA-VBGMM: fault monitoring via dynamically-recursive kernel principal component analysis with variational Bayesian Gaussian mixture model. J. Intell. Manuf. 34(6): 2625-2653 (2023) - [j3]Liye Jia, Wei Wu, Guojie Hou, Juanjuan Zhao, Yan Qiang, Yanan Zhang, Meiling Cai:
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer. Multim. Tools Appl. 82(21): 33443-33463 (2023) - [c5]Yu He, Meiling Cai:
Efficient Recommendation Algorithm for Employment of College Students for Various Majors. NCTCS 2023: 170-189 - 2021
- [c4]Lianye Liu, Jinping Liu, Juanjuan Wu, Jiaming Zhou, Meiling Cai:
Novelty Detection-Based Automated Anomaly Identification via Optimized Deep Generative Model. Big Data (CCF) 2021: 117-134 - 2020
- [j2]Feng Liu, Meiling Cai, Shiyun Liu, Sen Wang, Danhua Mei, Zhi Fang:
The Optimization of Plasma Catalytic Liquefaction Technique for the Conversion of Sawdust Into Value-Added Chemicals. IEEE Access 8: 2621-2630 (2020)
2010 – 2019
- 2019
- [c3]Xiaochun Yang, Jin Zhang, Qiang Li, Meiling Cai:
University Code Refactoring Practice-Driven Curriculum Instructed by Industry Professionals. CompEd 2019: 240 - 2014
- [j1]Meiling Cai, Beiji Zou, Huanzhi Gao, Juan Song:
Motion recognition for 3D human motion capture data using support vector machines with rejection determination. Multim. Tools Appl. 70(2): 1333-1362 (2014)
2000 – 2009
- 2007
- [c2]Chunming Gao, Meiling Cai, Huowang Chen:
QoS-Driven Global Optimization of Services Selection Supporting Services Flow Re-planning. APWeb/WAIM Workshops 2007: 516-521 - [c1]Chunming Gao, Meiling Cai, Huowang Chen:
QoS-aware Service Composition Based on Tree-Coded Genetic Algorithm. COMPSAC (1) 2007: 361-367
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