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Improved Tandem All‐Polymer Solar Cells Performance by Using Spectrally Matched Subcells

, , , , , and . Advanced Energy Materials, (May 2018)
DOI: 10.1002/aenm.201703291

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Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals., , and . KES, volume 159 of Procedia Computer Science, page 231-240. Elsevier, (2019)On The Study of EEG-based Cryptographic Key Generation., , , and . KES, volume 112 of Procedia Computer Science, page 936-945. Elsevier, (2017)Emotional Influences on Cryptographic Key Generation Systems using EEG signals., , , and . KES, volume 126 of Procedia Computer Science, page 703-712. Elsevier, (2018)Efficient Structured Matrix Rank Minimization., , , , and . NIPS, page 1350-1358. (2014)Fuzzy Multi-sphere Support Vector Data Description., , , and . FUZZ-IEEE, page 1-5. IEEE, (2012)Biometric recognition system performance measures for lossy compression on EEG signals., , and . Log. J. IGPL, 29 (6): 889-905 (2021)Graph-based semi-supervised Support Vector Data Description for novelty detection., , , , , and . IJCNN, page 1-6. IEEE, (2015)An intelligent learning-based watermarking scheme for outsourced biomedical time series data., , and . IJCNN, page 4408-4415. IEEE, (2017)Multiple distribution data description learning method for novelty detection., , , , and . IJCNN, page 2321-2326. IEEE, (2011)Maximal margin learning vector quantisation., , , and . IJCNN, page 1-6. IEEE, (2013)