Výsledky vyhledávání - "double-channel network"

A new strategy for fabricating organic photovoltaic devices with stable D/A double-channel network to enhance performance using self-assembling all-conjugated diblock copolymer

Autor: Wei-Chih Chen, Wei-Shin Liou, Yu-Ping Lee, Chi-An Dai, Chi-Ju Chiang, Leeyih Wang, Yi-Huan Lee, Kuo-Chang Kau

Publikováno v: Nano Energy. 13:103-116

In this study, we demonstrate the cooperative self-assembly of [6,6]-phenyl C61-butyric acid methyl ester (PCBM) and an all-conjugated poly(2,5-dihexyloxy-p-phenylene)-b-poly(3-hexylthiophene) (PPP-P3HT) block copolymer to yield organic photovoltaic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5fc8c6d4e023159e59af8b935f346d2
https://doi.org/10.1016/j.nanoen.2015.01.022

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Akademický článek

A double-channel multiscale depthwise separable convolutional neural network for abnormal gait recognition

Autor: Xiaoguang Liu, Yubo Wu, Meng Chen, Tie Liang, Fei Han, Xiuling Liu

Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8049-8067 (2023)

Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The abnormal gait hides a considerable amount of information. In order to extract the fine, spatial feature information in the abnormal gait and reduce t

Externí odkaz: https://doaj.org/article/9d1b532f1e694ef1b8349c7ec5c40a77

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Strategies for deep learning‐based attenuation and scatter correction of brain ¹⁸F‐FDG PET images in the image domain.

Autor: Jahangir, Reza, Kamali‐Asl, Alireza, Arabi, Hossein, Zaidi, Habib

Publikováno v: Medical Physics; Feb2024, Vol. 51 Issue 2, p870-880, 11p

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A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction

Autor: Zhang, Hongzhi, Gong, Xiuwen, Pan, Shirui, Wu, Jia, Du, Bo, Hu, Wenbin

Drug-target interaction (DTI) prediction is a critical component of the drug discovery process. In the drug development engineering field, predicting novel drug-target interactions is extremely crucial.However, although existing methods have achieved

Externí odkaz: http://arxiv.org/abs/2405.14545

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FDNet: An end-to-end fusion decomposition network for infrared and visible images.

Autor: Di, Jing¹ (AUTHOR), Ren, Li¹ (AUTHOR) 1427594911@qq.com, Liu, Jizhao² (AUTHOR), Guo, Wenqing¹ (AUTHOR), Zhange, Huaikun² (AUTHOR), Liu, Qidong³ (AUTHOR), Lian, Jing¹ (AUTHOR)

Publikováno v: PLoS ONE. 9/18/2023, Vol. 18 Issue 9, p1-27. 27p.

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