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Additive manufacturing of high strength copper alloy with heterogeneous grain structure through laser powder bed fusion
Liu, Y., Zhang, J., Tan, Q., Yin, Y., Liu, S., Li, M., Li, M., Liu, Q., Zhou, Y., Wu, T., Wang, F. & Zhang, M. X., 11月 2021, 在: Acta Materialia. 220, 117311.科研成果: 期刊稿件 › 文章 › 同行评审
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Additive package and its application of RHY4163 manual transmission fluid
Fu, X., Hua, X., Liu, W. & Xue, Q., 11月 2004, 在: Petroleum Processing and Petrochemicals. 35, 11, 页码 65-69 5 页码科研成果: 期刊稿件 › 文章 › 同行评审
3 引用 (Scopus) -
Additivity rule, isothermal and non-isothermal transformations on the basis of an analytical transformation model
Liu, F., Yang, C., Yang, G. & Zhou, Y., 9月 2007, 在: Acta Materialia. 55, 15, 页码 5255-5267 13 页码科研成果: 期刊稿件 › 文章 › 同行评审
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Addressing Information Inequality for Text-Based Person Search via Pedestrian-Centric Visual Denoising and Bias-Aware Alignments
Gao, L., Niu, K., Jiao, B., Wang, P. & Zhang, Y., 1 12月 2023, 在: IEEE Transactions on Circuits and Systems for Video Technology. 33, 12, 页码 7884-7899 16 页码科研成果: 期刊稿件 › 文章 › 同行评审
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ADD-RRV for motion planning in complex environments
Cai, P., Yue, X. & Zhang, H., 14 1月 2022, 在: Robotica. 40, 1, 页码 136-153 18 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Decentralized Automatic Load Power Allocation Strategy for Hybrid Energy Storage System
Wang, Z., Wang, P., Jiang, W. & Wang, P., 9月 2021, 在: IEEE Transactions on Energy Conversion. 36, 3, 页码 2227-2238 12 页码, 9261981.科研成果: 期刊稿件 › 文章 › 同行评审
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A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning
Li, X., Li, J., Shi, H. & Hwang, K. S., 1 4月 2024, 在: IEEE Transactions on Cognitive and Developmental Systems. 16, 2, 页码 640-649 10 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Deceptive Reviews Detection Method Based on Multidimensional Feature Construction and Ensemble Feature Selection
Li, S., Zhong, G., Jin, Y., Wu, X., Zhu, P. & Wang, Z., 1 2月 2023, 在: IEEE Transactions on Computational Social Systems. 10, 1, 页码 153-165 13 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decision diagram based reliability evaluation method for multiple phased-mission systems
Zhang, S., Sun, S., Si, S. & Wang, P., 2017, 在: Eksploatacja i Niezawodnosc. 19, 3, 页码 485-492 8 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decision framework for cultural and creative products based on IF-TODIM method and group consensus reaching model
Ding, N., Yu, S. H., Chu, J. J., Chen, C. & Shu, X. Y., 1月 2023, 在: Advanced Engineering Informatics. 55, 101891.科研成果: 期刊稿件 › 文章 › 同行评审
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A decision making method based on Dempster-Shafer theory of evidence under the constraint of uncertain subjective information
Deng, X., Li, Y. & Deng, Y., 8月 2012, 在: Journal of Information and Computational Science. 9, 8, 页码 2049-2056 8 页码科研成果: 期刊稿件 › 文章 › 同行评审
5 引用 (Scopus) -
A Decision-Making Method for Air Combat Maneuver Based on Hybrid Deep Learning Network
Bo, L. I., Liang, S., Chen, D. & Xitong, L. I., 1月 2022, 在: Chinese Journal of Electronics. 31, 1, 页码 107-115 9 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Decision-Making Model with Cloud Model, Z-Numbers, and Interval-Valued Linguistic Neutrosophic Sets
Chen, H., Shi, J., Lyu, Y. & Jia, Q., 11月 2024, 在: Entropy. 26, 11, 892.科研成果: 期刊稿件 › 文章 › 同行评审
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A Decision-Making Strategy for Vehicle Autonomous Braking in Emergency via Deep Reinforcement Learning
Fu, Y., Li, C., Yu, F. R., Luan, T. H. & Zhang, Y., 6月 2020, 在: IEEE Transactions on Vehicular Technology. 69, 6, 页码 5876-5888 13 页码, 9067008.科研成果: 期刊稿件 › 文章 › 同行评审
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A decomposition-based multi-objective optimization approach considering multiple preferences with robust performance
Zhu, X., Gao, Z., Du, Y., Cheng, S. & Xu, F., 12月 2018, 在: Applied Soft Computing. 73, 页码 263-282 20 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems
Zhai, Y., Liu, C., Chu, W., Guo, R. & Liu, C., 2014, 在: Journal of Industrial Engineering and Management. 7, 5, 页码 1397-1414 18 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decoupled credibility-based design optimization method for fuzzy design variables by failure credibility surrogate modeling
Jia, B., Lu, Z. & Wang, L., 1 7月 2020, 在: Structural and Multidisciplinary Optimization. 62, 1, 页码 285-297 13 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decoupled designing approach for sampling consensus of multi-agent systems
Liu, Y., Zhao, Y. & Chen, G., 10 1月 2018, 在: International Journal of Robust and Nonlinear Control. 28, 1, 页码 310-325 16 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Decoupled Method for Credibility-Based Design Optimization with Fuzzy Variables
Wang, L., Lu, Z. & Jia, B., 1 4月 2020, 在: International Journal of Fuzzy Systems. 22, 3, 页码 844-858 15 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A decoupling method for solving the multi-agent path finding problem
Liao, B., Zhu, S., Hua, Y., Wan, F. & Qing, X., 12月 2023, 在: Complex and Intelligent Systems. 9, 6, 页码 6767-6780 14 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep bidirectional LSTM approach for video-realistic talking head
Fan, B., Xie, L., Yang, S., Wang, L. & Soong, F. K., 1 5月 2016, 在: Multimedia Tools and Applications. 75, 9, 页码 5287-5309 23 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep clustering framework for underwater image recognition
Zhao, L., Zhang, X. L. & Yang, K., 6月 2025, 在: Digital Signal Processing: A Review Journal. 161, 105131.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep cross-modal neural cognitive diagnosis framework for modeling student performance
Song, L., He, M., Shang, X., Yang, C., Liu, J., Yu, M. & Lu, Y., 15 11月 2023, 在: Expert Systems with Applications. 230, 120675.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis
Wu, Z., Jiang, H., Liu, S. & Zhao, K., 10月 2021, 在: Measurement Science and Technology. 32, 10, 104014.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis
Liu, S., Jiang, H., Wang, Y., Zhu, K. & Liu, C., 4月 2022, 在: Advanced Engineering Informatics. 52, 101598.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Wang, R., Jiang, H., Zhu, K., Wang, Y. & Liu, C., 10月 2022, 在: Advanced Engineering Informatics. 54, 101750.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems
Jia, Z., Liu, Z., Gan, Y., Vong, C. M. & Pecht, M., 10月 2021, 在: IEEE Transactions on Industrial Electronics. 68, 10, 页码 10087-10096 10 页码, 9186310.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep grouping fusion neural network for multimedia content understanding
Song, L., Yu, M., Shang, X., Lu, Y., Liu, J., Zhang, Y. & Li, Z., 7月 2022, 在: IET Image Processing. 16, 9, 页码 2398-2411 14 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep insight for TBBPA imprinting on PVP-assisted separation membrane: Elucidation of detailed chemical transition in membrane preparation and imprinting process
Yu, C., He, W., Yan, Y., Song, J., Xing, W., Meng, M., Gao, J., Yan, Y., Wu, Y. & Ma, Z., 15 5月 2022, 在: Chemical Engineering Journal. 436, 135024.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images
Liu, S., Zhang, Y., Chen, J., Lim, K. P. & Rahardja, S., 1 6月 2022, 在: IEEE Journal on Selected Topics in Signal Processing. 16, 4, 页码 622-635 14 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning approach to predict thermophysical properties of metastable liquid Ti-Ni-Cr-Al alloy
Xiao, R. L., Wang, Q., Qin, J. Y., Zhao, J. F., Ruan, Y., Wang, H. P., Li, H. & Wei, B., 28 2月 2023, 在: Journal of Applied Physics. 133, 8, ,085102.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography
Bai, X., Hu, Y., Gong, G., Yin, Y. & Xia, Y., 2月 2021, 在: Biomedical Signal Processing and Control. 64, 102246.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Learning Based Data-Driven Thruster Fault Diagnosis Approach for Satellite Attitude Control System
Xiao, B. & Yin, S., 10月 2021, 在: IEEE Transactions on Industrial Electronics. 68, 10, 页码 10162-10170 9 页码, 9209089.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning based health index construction method with contrastive learning
Wang, H., Li, X., Zhang, Z., Deng, X. & Jiang, W., 2月 2024, 在: Reliability Engineering and System Safety. 242, 109799.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network
Wang, Y. B., You, Z. H., Yang, S., Yi, H. C., Chen, Z. H. & Zheng, K., 18 3月 2020, 在: BMC Medical Informatics and Decision Making. 20, 49.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning based prediction approach for the supercritical airfoil at transonic speeds
Sun, D., Wang, Z., Qu, F. & Bai, J., 1 8月 2021, 在: Physics of Fluids. 33, 8, 086109.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning framework for hydrogen-fueled turbulent combustion simulation
An, J., Wang, H., Liu, B., Luo, K. H., Qin, F. & He, G. Q., 10 7月 2020, 在: International Journal of Hydrogen Energy. 45, 35, 页码 17992-18000 9 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
Yi, H. C., You, Z. H., Huang, D. S., Li, X., Jiang, T. H. & Li, L. P., 1 6月 2018, 在: Molecular Therapy Nucleic Acids. 11, 页码 337-344 8 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning framework for supersonic turbulent combustion
Zhao, T., Wu, C., Zhu, R., Liu, B., Qin, F., An, J. & He, G., 12月 2024, 在: Acta Astronautica. 225, 页码 524-537 14 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
Qiang, N., Gao, J., Dong, Q., Li, J., Zhang, S., Liang, H., Sun, Y., Ge, B., Liu, Z., Wu, Z., Liu, T., Yue, H. & Zhao, S., 24 8月 2023, 在: Behavioural Brain Research. 452, 114603.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2
Su, X., Hu, L., You, Z., Hu, P., Wang, L. & Zhao, B., 1 1月 2022, 在: Briefings in Bioinformatics. 23, 1, bbab526.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep-Learning Potential for Crystalline and Amorphous Li-Si Alloys
Xu, N., Shi, Y., He, Y. & Shao, Q., 30 7月 2020, 在: Journal of Physical Chemistry C. 124, 30, 页码 16278-16288 11 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep neural network approach with attention mechanism to improve the quality of target observation for UAVs
Liu, B., Ning, X., Ma, S. & Wang, Z., 4月 2024, 在: Computers and Industrial Engineering. 190, 110075.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Neural Network Model with Attribute Network Representation for lncRNA-Protein Interaction Prediction
Wei, M. M., Yu, C. Q., Li, L. P., You, Z. H. & Lei-Wang, 2024, 在: Current Bioinformatics. 19, 4, 页码 341-351 11 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep reinforcement learning approach incorporating genetic algorithm for missile path planning
Xu, S., Bi, W., Zhang, A. & Wang, Y., 5月 2024, 在: International Journal of Machine Learning and Cybernetics. 15, 5, 页码 1795-1814 20 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions
Cui, H., Zhang, K., Tan, M. & Wang, J., 5月 2025, 在: Aerospace. 12, 5, 411.科研成果: 期刊稿件 › 文章 › 同行评审
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A deep reinforcement transfer convolutional neural network for rolling bearing fault diagnosis
Wu, Z., Jiang, H., Liu, S. & Wang, R., 10月 2022, 在: ISA Transactions. 129, 页码 505-524 20 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Scene Representation for Aerial Scene Classification
Zheng, X., Yuan, Y. & Lu, X., 7月 2019, 在: IEEE Transactions on Geoscience and Remote Sensing. 57, 7, 页码 4799-4809 11 页码, 8636541.科研成果: 期刊稿件 › 文章 › 同行评审
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A Deep Spatial Contextual Long-Term Recurrent Convolutional Network for Saliency Detection
Liu, N. & Han, J., 7月 2018, 在: IEEE Transactions on Image Processing. 27, 7, 页码 3264-3274 11 页码科研成果: 期刊稿件 › 文章 › 同行评审
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A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data
Wu, Z., Jiang, H., Lu, T. & Zhao, K., 21 5月 2020, 在: Knowledge-Based Systems. 196, 105814.科研成果: 期刊稿件 › 文章 › 同行评审