Results 51 to 60 of about 156,045 (186)

Forecasting Sesame Price in Ethiopia Using Recurrent Neural Network Based Deep Learning Algorithms

International Journal of Computational Intelligence Systems
Sesame is Ethiopia's second-most important crop after coffee, supporting farmer incomes and contributing to foreign exchange earnings. In 2018, it generated approximately 449 million USD, and in 2010, it accounted for 14% of global exports.
Yihun Tewachew, Abebe Alemu, Asnake Wodaynew, Yohannes Mekuriaw   +3 more
doaj   +1 more source

Construction of Power Fault Knowledge Graph Based on Deep Learning

Applied Sciences, 2022
A knowledge graph can structure heterogeneous knowledge in the field of power faults, construct the correlation between different pieces of knowledge, and solve the diversification, complexity, and island of fault data.
Peishun Liu, Bing Tian, Xiaobao Liu, Shijing Gu, Li Yan, Leon Bullock, Chao Ma, Yin Liu, Wenbin Zhang   +8 more
doaj   +1 more source

Simulated annealing algorithm optimized GRU neural network for urban rainfall-inundation prediction

Journal of Hydroinformatics, 2023
In the context of global climate change and the continuous development of urban areas, rainfall-inundation modeling is a common approach that provides critical support for the protection and early warning of urban waterlogging protection.
Ying Yan, Wenting Zhang, Yongzhi Liu, Zhixuan Li   +3 more
doaj   +1 more source

GRU-MMattention-LightGBM model prediction process.

, 2023
GRU-MMattention-LightGBM model prediction process.
Shaokun Liang (14439551), Anna Huang (5353097), Tao Deng (158002), Ningxian Liu (14439554), Xuchu Jiang (14439557)   +4 more
core   +1 more source

2 x 80 Gbit/s DWDM Bidirectional Wavelength Reuse Optical Wireless Transmission [PDF]

, 2013
We demonstrate a practical 2×80 Gbit/s dense wavelength division multiplexing (DWDM) bidirectional short-range optical wireless link. The measured power penalties for the bidirectional transmission are less than 0.8 and 0.2 dB compared to the back-to ...
Ghassemlooy, Zabih, Yu, Yi-Lin, Hsu, Hai-Yin, Lu, Wan Chian, Liaw, Shien-Kuei, Le Minh, Hoa   +5 more
core   +1 more source

Stacking Ensemble Modeling of Bidirectional LSTM and Bidirectional GRU for Air Temperature Prediction in Ngawi [PDF]

Artificial Neural Networks (ANN) have rapidly developed and are used in forecasting, classification, and regression by mimicking how the human brain processes data.
Nike Yustina Oktaviani, Iqbal Kharisudin
core   +1 more source

Seismic phase recognition model with low SNR based on U-net

Geomatics, Natural Hazards & Risk
Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention ...
Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li   +5 more
doaj   +1 more source

A Perturbation-Aided Residual Bidirectional GRU Nonlinear Equalizer for DP-16QAM Optical Communication Systems

Residual Kerr-induced nonlinear distortion after linear digital signal processing remains a major performance limitation in long-haul dual-polarization 16-QAM (DP-16QAM) coherent optical transmission.
Zhuosheng Ouyang, Feng Tian, Sitong Zhou, Fu Wang, Xinyu Yuan, Jiwei Han, Qi Zhang   +6 more
core   +1 more source

Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification

, 2023
Hyperspectral data is a valuable source of both spectral and spatial information. However, to enhance the classification accuracy of hyperspectral image features, it is crucial to capture the spatial spectral features of image elements.
Wu, Guoqiang, Achyut Shankar, Ning, Xin, Xin Ning, Hengmin Zhang, Shankar, Achyut, Luyang Hou, Hou, Luyang, Zhang, Hengmin, He, Feng, Guoqiang Wu, Feng He   +11 more
core   +1 more source

Deep Learning–Based Fault Identification Testing Experiment for Bellows Valves

Science and Technology of Nuclear Installations
This study focuses on the fault identification of the pneumatic bellows valve. This valve plays an essential role in regulating system pressure to ensure the smooth progress of the tritium removal process.
Jianwen Guo, YongHeng Cai, Zihan Chen, Zonghao Tan, Honghua Qiu, Ning He, Yu Liu, Shuai Wang   +7 more
doaj   +1 more source