Results 201 to 210 of about 34,789 (293)

Convolutional Recurrent Neural Network-Based Event Detection in Tunnels Using Multiple Microphones. [PDF]

Sensors (Basel), 2019
Kim NK, Jeon KM, Kim HK.
europepmc   +1 more source

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network [PDF]

, 2018
Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Vijayan K. Asari   +3 more
openalex   +1 more source

Investigating three-dimensional convolutional and recurrent neural networks for crop classification using time-series optical images

, 2023
Maryam Teimouri, Mehdi Mokhtarzade
openalex   +1 more source

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration

Advanced Science, EarlyView.
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow, Jianpeng Zhang, Zehua Peng, Denglin Ye, Binbin Zhang, Jian Li, Wooyoung Park, Chentao Du, Xingcan Huang, Chun Ki Yiu, Yuze Qiu, Jingkun Zhou, Zhenlin Chen, Yuyu Gao, Weibin Zhu, Pengcheng Wu, Guangyao Zhao, Qiang Zhang, Yuan Guo, Zuowei Sun, Zhan Shen, Shuaiqi Ren, Sang Min Won, Jiyu Li, Xinge Yu   +24 more
wiley   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

Application of Convolutional Recurrent Neural Network for Individual Recognition Based on Resting State fMRI Data. [PDF]

Front Neurosci, 2019
Wang L, Li K, Chen X, Hu XP.
europepmc   +1 more source

Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking [PDF]

, 2016
Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang   +5 more
openalex   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification

, 2020
Domenico Amato, Giosuè Lo Bosco, Riccardo Rizzo   +2 more
openalex   +1 more source

Deep Volumetric Super‐Resolution Imaging in Thick Biological Specimens With Sparse Scanning SIM

Advanced Science, EarlyView.
Sparse scanning structured illumination microscopy (SS‐SIM) extends the axial depth in super‐resolution fluorescence imaging by combining rapid laser scanning, pixel‐addressed intensity modulation, and sCMOS camera detection. SS‐SIM yields 1.6× lateral and 1.7× axial resolution gains over wide‐field microscopy and enables imaging through 300–600 µm ...
Sha An, Xuhong Guo, Zhongxia Cai, Yunze Lei, Kai Wen, Hongfei Suo, Xiaoyu Kong, Gerd Ulrich Nienhaus, Peng Gao   +8 more
wiley   +1 more source