Results 51 to 60 of about 212,585 (307)

MediaPipe’s Landmarks with RNN for Dynamic Sign Language Recognition

Electronics, 2022
Communication for hearing-impaired communities is an exceedingly challenging task, which is why dynamic sign language was developed. Hand gestures and body movements are used to represent vocabulary in dynamic sign language.
Gerges H. Samaan, Abanoub R. Wadie, Abanoub K. Attia, Abanoub M. Asaad, Andrew E. Kamel, Salwa O. Slim, Mohamed S. Abdallah, Young-Im Cho   +7 more
semanticscholar   +1 more source

Time-Series Forecasting of the Pazarcık Earthquake Using LSTM, Transformer and RNN Models

Gazi Üniversitesi Fen Bilimleri Dergisi
The Earth's internal structure and mitigating seismic hazards are very important for understanding for earthquake prediction and seismic wave analysis.
Seda Şahin , Emine Çankaya
doaj   +1 more source

Sequence Prediction Using Spectral RNNs [PDF]

, 2020
Source code available at https://github.com/v0lta/Spectral ...
Wolter, Moritz, Gall, Juergen, Yao, Angela   +2 more
openaire   +2 more sources

AN OVERVIEW OF DEEP LEARNING TECHNIQUES FOR SHORT-TERM ELECTRICITY LOAD FORECASTING [PDF]

Applied Computer Science, 2019
This paper presents an overview of some Deep Learning (DL) techniques applicable to forecasting electricity consumptions, especially in the short-term horizon.
Saheed ADEWUYI, Segun AINA, Moses UZUNUIGBE, Aderonke LAWAL, Adeniran OLUWARANTI   +4 more
doaj   +1 more source

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning [PDF]

IEEE International Conference on Robotics and Automation, 2020
Safe and efficient navigation through human crowds is an essential capability for mobile robots. Previous work on robot crowd navigation assumes that the dynamics of all agents are known and well-defined.
Shuijing Liu, Peixin Chang, W. Liang, Neeloy Chakraborty, K. Driggs-Campbell   +4 more
semanticscholar   +1 more source

Synchronous Response Analysis of Features for Remote Sensing Crop Classification Based on Optical and SAR Time-Series Data

Sensors, 2019
Accurate crop classification is the basis of agricultural research, and remote sensing is the only effective measuring technique to classify crops over large areas.
Yingwei Sun, Jiancheng Luo, Tianjun Wu, Ya’nan Zhou, Hao Liu, Lijing Gao, Wen Dong, Wei Liu, Yingpin Yang, Xiaodong Hu, Lingyu Wang, Zhongfa Zhou   +11 more
doaj   +1 more source

Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks

Journal of Intelligent Systems, 2023
With the rapid growth of informatics systems’ technology in this modern age, the Internet of Things (IoT) has become more valuable and vital to everyday life in many ways. IoT applications are now more popular than they used to be due to the availability
Aswad Firas Mohammed, Ahmed Ali Mohammed Saleh, Alhammadi Nafea Ali Majeed, Khalaf Bashar Ahmad, Mostafa Salama A.   +4 more
doaj   +1 more source

A noise reduction forecasting method of bus load based on sequence decomposition

Zhejiang dianli, 2023
In the context of new power systems， the diverse distributed power sources and user-side behavior have introduced instability in bus loads， thus presenting a fresh challenge for short-term load forecasting.
YANG Jian, ZHAO Jie, TANG Yiqin, JIANG Xu, TANG Jiajie, ZHANG Huaixun   +5 more
doaj   +1 more source

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

, 2018
Recurrent Neural Networks (RNNs) are powerful sequence modeling tools. However, when dealing with high dimensional inputs, the training of RNNs becomes computational expensive due to the large number of model parameters.
Chen, Di, Chu, Xinqi, Li, Guangxi, Wang, Linnan, Xu, Zenglin, Ye, Jinmian, Zhe, Shandian   +6 more
core   +1 more source

Low Precision RNNs: Quantizing RNNs Without Losing Accuracy

, 2017
Similar to convolution neural networks, recurrent neural networks (RNNs) typically suffer from over-parameterization. Quantizing bit-widths of weights and activations results in runtime efficiency on hardware, yet it often comes at the cost of reduced accuracy.
Kapur, Supriya, Mishra, Asit, Marr, Debbie   +2 more
openaire   +2 more sources