Metasurface meta-atoms design based on DNN and LightGBM algorithms
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[1] V. D'Amato,et al. Deep learning in predicting cryptocurrency volatility , 2022, Physica A: Statistical Mechanics and its Applications.
[2] A. Bogdanov,et al. Intelligent metaphotonics empowered by machine learning , 2021, Opto-Electronic Advances.
[3] Ben-Xin Wang,et al. Broadband achromatic metalens for linearly polarized light from 450 to 800 nm. , 2021, Applied optics.
[4] Ben-Xin Wang,et al. Polarization independent and broadband achromatic metalens in ultraviolet spectrum , 2021 .
[5] Zhihao Zhou,et al. Broadband achromatic metalens design based on deep neural networks. , 2021, Optics letters.
[6] Yunfei Luo,et al. Efficient design of a dielectric metasurface with transfer learning and genetic algorithm , 2021 .
[7] Jingmei Liu,et al. A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM , 2021, Comput. Secur..
[8] S. R. Naqvi,et al. A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks , 2021 .
[9] L. Rundo,et al. AI applications to medical images: From machine learning to deep learning. , 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[10] Mehedi Masud,et al. A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework , 2021, Sensors.
[11] Lianhui Wang,et al. Neural network enabled metasurface design for phase manipulation. , 2021, Optics express.
[12] Yiheng Li,et al. A Comparative Performance Assessment of Ensemble Learning for Credit Scoring , 2020, Mathematics.
[13] Aneela Zameer,et al. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM , 2020, Chaos, Solitons & Fractals.
[14] Thomas A. Geddes,et al. Ensemble deep learning in bioinformatics , 2020, Nature Machine Intelligence.
[15] Pu Wang,et al. EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides , 2020, Frontiers in Genetics.
[16] Jiaqi Jiang,et al. Deep neural networks for the evaluation and design of photonic devices , 2020, Nature Reviews Materials.
[17] H. Meng,et al. A Thermal Tuning Meta-Duplex-Lens (MDL): Design and Characterization , 2020, Nanomaterials.
[18] Xuesong Wang,et al. Improving the transferability of the crash prediction model using the TrAdaBoost.R2 algorithm. , 2020, Accident; analysis and prevention.
[19] R. Tao,et al. Spatial–Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[20] Tong Deng,et al. Nuclear spin-spin coupling constants prediction based on XGBoost and LightGBM algorithms , 2020 .
[21] Tong Deng,et al. Prediction of aqueous solubility of compounds based on neural network , 2019, Molecular Physics.
[22] Bowen Zheng,et al. A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design , 2019, ACS Photonics.
[23] Jordan M. Malof,et al. Deep learning for accelerated all-dielectric metasurface design. , 2019, Optics express.
[24] Tong Deng,et al. Prediction carbon dioxide solubility in ionic liquids based on deep learning , 2019, Molecular Physics.
[25] Hua Li,et al. Benign and malignant classification of mammogram images based on deep learning , 2019, Biomed. Signal Process. Control..
[26] D. Choi,et al. All-dielectric metasurfaces for simultaneously realizing polarization rotation and wavefront shaping of visible light. , 2019, Nanoscale.
[27] Samah Jamal Fodeh,et al. Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification , 2018, J. Biomed. Informatics.
[28] Dilip Singh Sisodia,et al. Prediction of Diabetes using Classification Algorithms , 2018 .
[29] A. Alú,et al. Recent advances on optical metasurfaces , 2014 .
[30] Yang Hao,et al. Parallel dispersive finite-difference time-domain modeling of three-dimensional electromagnetic cloaking structures , 2009, 2009 International Conference on Electromagnetics in Advanced Applications.
[31] Y. Hao,et al. Full-wave finite-difference time-domain simulation of electromagnetic cloaking structures. , 2008, Optics express.
[32] Alex B. McBratney,et al. A comparison of prediction methods for the creation of field-extent soil property maps , 2001 .
[33] Fredric C. Gey,et al. The Relationship between Recall and Precision , 1994, J. Am. Soc. Inf. Sci..