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267. Resources and Future Work

Author

Fan, Bin, Wang, Zhenhua, Wu, Fuchao, Zdonik, Stan, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C., Series editor, Padua, David, Series editor, Shen, Xuemin Sherman, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Jajodia, Sushil, Series editor, Lee, Newton, Series editor, Fan, Bin, Wang, Zhenhua, and Wu, Fuchao

Published
2015
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268. Classical Local Descriptors

Author

Fan, Bin, Wang, Zhenhua, Wu, Fuchao, Zdonik, Stan, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C., Series editor, Padua, David, Series editor, Shen, Xuemin Sherman, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Jajodia, Sushil, Series editor, Lee, Newton, Series editor, Fan, Bin, Wang, Zhenhua, and Wu, Fuchao

Published
2015
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269. Burgeoning Methods: Binary Descriptors

Author

Fan, Bin, Wang, Zhenhua, Wu, Fuchao, Zdonik, Stan, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C., Series editor, Padua, David, Series editor, Shen, Xuemin Sherman, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Jajodia, Sushil, Series editor, Lee, Newton, Series editor, Fan, Bin, Wang, Zhenhua, and Wu, Fuchao

Published
2015
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270. Intensity Order-Based Local Descriptors

Author

Fan, Bin, Wang, Zhenhua, Wu, Fuchao, Zdonik, Stan, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C., Series editor, Padua, David, Series editor, Shen, Xuemin Sherman, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Jajodia, Sushil, Series editor, Lee, Newton, Series editor, Fan, Bin, Wang, Zhenhua, and Wu, Fuchao

Published
2015
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271. Visual Applications

Author

Fan, Bin, Wang, Zhenhua, Wu, Fuchao, Zdonik, Stan, Series editor, Shekhar, Shashi, Series editor, Katz, Jonathan, Series editor, Wu, Xindong, Series editor, Jain, Lakhmi C., Series editor, Padua, David, Series editor, Shen, Xuemin Sherman, Series editor, Furht, Borko, Series editor, Subrahmanian, V.S., Series editor, Hebert, Martial, Series editor, Ikeuchi, Katsushi, Series editor, Siciliano, Bruno, Series editor, Jajodia, Sushil, Series editor, Lee, Newton, Series editor, Fan, Bin, Wang, Zhenhua, and Wu, Fuchao

Published
2015
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280. A rationally engineered specific near-infrared fluorogenic substrate of human pancreatic lipase for functional imaging and inhibitor screening

Author

Fan-Bin Hou, Na Zhang, Xu-Dong Hou, Wei Liu, Yu-Fan Fan, Guang-Hao Zhu, Yue Wu, Meng-Ru Sun, Bei Zhao, Guang-Bo Ge, and Ping Wang

Subjects
Electrochemistry, Environmental Chemistry, Biochemistry, Spectroscopy, Analytical Chemistry
Abstract

A novel NIR fluorogenic substrate was rationally designed towards hPL, which can detect endogenous PL in living cells and tissues, and enable visual high-throughput screening of hPL inhibitors.

Published
2023
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281. VOC of Inverted Perovskite Solar Cells Based on N‐Doped PCBM Exceeds 1.2 V: Interface Energy Alignment and Synergistic Passivation

Author

Sun, Xiuhong, primary, Li, Yonghai, additional, Liu, Dachang, additional, Liu, Ruichen, additional, Zhang, Bingqian, additional, Tian, Qingyong, additional, Fan, Bin, additional, Wang, Xianzhao, additional, Li, Zhipeng, additional, Shao, Zhipeng, additional, Wang, Xiao, additional, Cui, Guanglei, additional, and Pang, Shuping, additional

Published
2023
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284. Convolutional Neural Networks with Neural Cascade Classifier for Pedestrian Detection

Author

Tong, Bei, Fan, Bin, Wu, Fuchao, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Tan, Tieniu, editor, Li, Xuelong, editor, Chen, Xilin, editor, Zhou, Jie, editor, Yang, Jian, editor, and Cheng, Hong, editor

Published
2016
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299. Efficient numerical method for multi-term time-fractional diffusion equations with Caputo-Fabrizio derivatives.

Author

Fan, Bin

Subjects
HEAT equation, FINITE differences, COLLOCATION methods, COMPUTATIONAL complexity, DISCRETIZATION methods, REACTION-diffusion equations
Abstract

In this paper, we consider a numerical method for the multi-term Caputo-Fabrizio time-fractional diffusion equations (with orders α i ∈ (0 , 1) , i = 1 , 2 , ⋯ , n ). The proposed method employs a fast finite difference scheme to approximate multi-term fractional derivatives in time, requiring only O (1) storage and O (N T) computational complexity, where N T denotes the total number of time steps. Then we use a Legendre spectral collocation method for spatial discretization. The stability and convergence of the scheme have been thoroughly discussed and rigorously established. We demonstrate that the proposed scheme is unconditionally stable and convergent with an order of O ( (Δ t) 2 + N − m ) , where Δ t , N , and m represent the timestep size, polynomial degree, and regularity in the spatial variable of the exact solution, respectively. Numerical results are presented to validate the theoretical predictions. In this paper, we consider a numerical method for the multi-term Caputo-Fabrizio time-fractional diffusion equations (with orders , ). The proposed method employs a fast finite difference scheme to approximate multi-term fractional derivatives in time, requiring only storage and computational complexity, where denotes the total number of time steps. Then we use a Legendre spectral collocation method for spatial discretization. The stability and convergence of the scheme have been thoroughly discussed and rigorously established. We demonstrate that the proposed scheme is unconditionally stable and convergent with an order of , where , , and represent the timestep size, polynomial degree, and regularity in the spatial variable of the exact solution, respectively. Numerical results are presented to validate the theoretical predictions. [ABSTRACT FROM AUTHOR]

Published
2024
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300. Magnetron Sputtering Zn2SnO4 Electron‐Transport Layer for All Room‐Temperature‐Processed Perovskite Solar Cells.

Author

Liu, Qiuju, Liu, Yang, Liu, Hu, Tian, Qingyong, Fan, Bin, and Bai, Hua

Subjects
MAGNETRON sputtering, SOLAR cells, PEROVSKITE, ELECTRON transport, STANNIC oxide, GRAIN size
Abstract

Room‐temperature‐processed (RTP) electron‐transport layer (ETL) is a prerequisite for fabricating fully RTP perovskite solar cells (PSCs). Herein, an RTP‐Zn2SnO4 (ZSO) ETL is deposited for achieving RTP‐PSCs by magnetron sputtering using ZnO and SnO2 targets. The ZSO ETL exhibits great electrical properties, better band alignment, and yields increased grain size of the perovskite grown on it, thus facilitating electron extraction from the perovskite layer to the ETL. As a result, a champion power conversion efficiency of 21.06% is achieved in the ZSO‐based device, which is the highest value for RTP‐PSCs. The ZSO‐based PSCs also exhibit high device stability. Moreover, the efficiency of a large‐area perovskite module based on ZSO ETL reaches 17.79%. [ABSTRACT FROM AUTHOR]

Published
2024
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