Results 11 to 20 of about 873,018 (176)

Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach [PDF]

Fractal and Fractional, 2023
Highly accurate cryptocurrency price predictions are of paramount interest to investors and researchers. However, owing to the nonlinearity of the cryptocurrency market, it is difficult to assess the distinct nature of time-series data, resulting in ...
Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga, Edson Pindza   +2 more
doaj   +3 more sources

Bi-GRU Enhanced Cost-Effective Memory-Aware End-to-End Learning for Geometric Constellation Shaping in Optical Coherent Communications

IEEE Photonics Journal
We propose a cost-effective and memory-aware end-to-end learning scheme utilizing bi-directional gated recurrent unit (bi-GRU) for geometric constellation shaping (GCS) under the first-order regular perturbation (FRP) auxiliary channel.
Zhiyang Liu, Xiaoyu Liu, Shilin Xiao, Weiying Yang, Weisheng Hu   +4 more
doaj   +2 more sources

A Partially Amended Hybrid Bi-GRU—ARIMA Model (PAHM) for Predicting Solar Irradiance in Short and Very-Short Terms

Energies, 2020
Solar renewable energy (SRE) applications are substantial in eradicating the rising global energy shortages and reversing the approaching environmental apocalypse.
Mustafa Jaihuni, Jayanta Kumar Basak, Fawad Khan, Frank Gyan Okyere, Elanchezhian Arulmozhi, Anil Bhujel, Jihoon Park, Lee Deog Hyun, Hyeon Tae Kim   +8 more
doaj   +2 more sources

GRU-MMatten-LGB prediction results.

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

Learning curves of LSTM-V, Bi-LSTM, and GRU-II techniques with best performance.

, 2023
Learning curves of LSTM-V, Bi-LSTM, and GRU-II techniques with best performance.
Muhammad Muneeb (3244095), Rubina Nasir (17095220), Farah Shahid (9385998), Rizwan Khan (2094757), Fatima Jaffar (17095217), Aneela Zameer (17095214)   +5 more
core   +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

Human Activity Recognition Based on Deep-Temporal Learning Using Convolution Neural Networks Features and Bidirectional Gated Recurrent Unit With Features Selection

IEEE Access, 2023
Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous successes in modeling sequential data such as audio processing, video processing, time series analysis, and text mining.
Tariq Ahmad, Jinsong Wu, Hathal Salamah Alwageed, Faheem Khan, Jawad Khan, Youngmoon Lee   +5 more
doaj   +1 more source

Hvordan få til sirkulær massehåndtering for bygg- og anleggsprosjekter i Oslo-området? [PDF]

, 2021
Dette forprosjektet har hatt som formål å identifisere interessante aspekter og problemstillinger knyttet til spørsmålet: Hvordan kan man få til sirkulær massehåndtering til og fra bygg- og anleggsprosjekter i Oslo-området? For å svare på spørsmålet, har
Bygballe, Lena Elisabeth, Harrison, Debbie, Flygansvær, Bente Merete, Soldal, Olav B.   +3 more
core  

Bearing intelligent fault diagnosis

Gong-kuang zidonghua, 2022
Bearing vibration signal is a kind of time series data, and its time dimension characteristic plays a key role in classification. Using convolutional neural network (CNN) alone to diagnose bearing fault will cause the loss of time dimension information ...
WU Dongmei, WANG Fuqi, LI Xiangong, TANG Run, ZHANG Xinjian   +4 more
doaj   +1 more source

A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media [PDF]

, 2022
As a constructive mode of information sharing, collaboration and communication, social media platforms offer users with limitless opportunities.
Akshi Kumar (23880195), N Sachdeva (13310520)   +1 more
core   +2 more sources