Results 11 to 20 of about 5,130 (182)

LSTM and Bidirectional GRU Comparison for Text Classification

sinkron, 2023
Although the phrases machine learning and AI are frequently used interchangeably and are frequently discussed together, they do not have the same meanings. While all artificial intelligence (AI) is machine learning, not all AI is machine learning, which is a key distinction.
Hannan Asrawi, Ema Utami, Ainul Yaqin
openaire   +1 more source

Categorizing 15 kV High-Voltage HDPE Insulator’s Leakage Current Surges Based on Convolution Neural Network Gated Recurrent Unit

Energies, 2023
The leakage currents are appropriate for determining the contamination level of insulators in the power distribution system, which are efficiently cleaned or replaced during the maintenance schedule.
Wen-Bin Liu, Phuong Nguyen Thanh, Ming-Yuan Cho, Thao Nguyen Da   +3 more
doaj   +1 more source

Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series

Remote Sensing, 2022
The state of Amapá within the Amazon biome has a high complexity of ecosystems formed by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses. The present research aimed to map the vegetation from the phenological behavior
Ivo Augusto Lopes Magalhães, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Potira Meirelles Hermuche, Éder Renato Merino, Roberto Arnaldo Trancoso Gomes, Renato Fontes Guimarães   +7 more
doaj   +1 more source

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1.

PLoS ONE, 2021
A reliable, remote, and continuous real-time respiratory sound monitor with automated respiratory sound analysis ability is urgently required in many clinical scenarios-such as in monitoring disease progression of coronavirus disease 2019-to replace ...
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Li-Chin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Ling Tsai, Yi-Lin Wu, Tzu-Ling Tseng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei Lai   +17 more
doaj   +1 more source

Context Information Fusion Method for Temporal Action Proposals

Jisuanji kexue yu tansuo, 2021
In the field of human activity localization and recognition in videos, the existing temporal action proposal methods have not solved the long-term dependence problem better, which results in lower recall rates of proposals.
WANG Xinwen, XIE Linbo, PENG Li
doaj   +1 more source

An Image Captioning Model Based on Bidirectional Depth Residuals and its Application

IEEE Access, 2021
A novel network model “bidirectional depth residuals gated recurrent unit network (BDR-GRU) ” is designed and implemented for improving the effectiveness of Image Captioning.
Ziwei Zhou, Liang Xu, Chaoyang Wang, Wei Xie, Shuo Wang, Shaoqiang Ge, Ye Zhang   +6 more
doaj   +1 more source

Deep learning based network traffic matrix prediction

International Journal of Intelligent Networks, 2021
Network traffic matrix prediction is a methodology of predicting network traffic behavior ahead of time in order to improve network management and planning.
Dalal Aloraifan, Imtiaz Ahmad, Ebrahim Alrashed   +2 more
doaj   +1 more source

BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
Scene graphs are nodes and edges consisting of objects and object-object relationships, respectively. Scene graph generation (SGG) aims to identify the objects and their relationships. We propose a bidirectional GRU (BiGRU) transformer network (BGT-Net) for the scene graph generation for images.
Naina Dhingra, Florian Ritter, Andreas M. Kunz   +2 more
openaire   +3 more sources

Constructing and Optimizing RNN Models to Predict Fruit Rot Disease Incidence in Areca Nut Crop Based on Weather Parameters

IEEE Access, 2023
A farmer faces several challenges associated with fruit rot disease in the areca nut crop. Weather factors, including rainfall and temperature, largely influence the disease severity and spread of infection in crops.
Rajashree Krishna, K. V. Prema
doaj   +1 more source

Short-Term Three-Phase Load Prediction With Advanced Metering Infrastructure Data in Smart Solar Microgrid Based Convolution Neural Network Bidirectional Gated Recurrent Unit

IEEE Access, 2022
The collaboration development between the power supply, solar power, and storage batteries is a formidable commission in the smart solar microgrid.
Phuong Nguyen Thanh, Ming-Yuan Cho, Chun-Lung Chang, Meng-Jie Chen   +3 more
doaj   +1 more source