Results 91 to 100 of about 6,008 (208)

A Hybrid Bidirectional Long Short-Term Memory and Bidirectional Gated Recurrent Unit Architecture for Protein Secondary Structure Prediction

IEEE Access
Protein secondary structure prediction plays a pivotal role in deciphering protein function and structure, with implications for drug discovery, functional annotation, and molecular biology research.
Vrushali Bongirwar, A. S. Mokhade
doaj   +1 more source

Explainable Traffic Accident Severity Prediction with Attention-Enhanced Bidirectional GRU-LSTM [PDF]

This study aims to improve the accuracy and interpretability of traffic accident severity nowcasting by introducing a stacked Recurrent Neural Network (RNN) deep learning model.
Baba Ari, A, Muhammad, AS, Zakari, RY, Chen, L, Wang, C   +4 more
core   +1 more source

Vessel Trajectory Prediction at Inner Harbor Based on Deep Learning Using AIS Data

Journal of Marine Science and Engineering
This study aims to improve vessel trajectory prediction in the inner harbor of Busan Port using Automatic Identification System (AIS) data and deep-learning techniques.
Gil-Ho Shin, Hyun Yang
doaj   +1 more source

Snow Depth Retrieval Using Detrended SNR From GNSS-R With Bidirectional GRU

Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction. While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from poor accuracy ...
Aodong Tian, Xintai Yuan, Jens Wickert, Wei Liu, Zihui Lin, Yuan Hu   +5 more
core   +1 more source

Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods

Energy Science & Engineering
Accurate forecasts of renewable and nonrenewable energy output are essential for meeting global energy needs and resolving environmental issues. Energy sources like the sun and wind are variable, making forecasting difficult.
Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem   +4 more
doaj   +1 more source

Cryptocurrency Price Prediction Model Using GRU, LSTM and Bi-LSTM Machine Learning Algorithms

Proceedings of the International Conference on Applied Innovations in IT
The rapid rise of cryptocurrencies has indeed created both investment opportunities and forecasting challenges. Accurate predictions of cryptocurrency prices are crucial for traders and financial planners to make informed decisions.
Laila Suwaid Said
doaj   +1 more source

COMPARING GRU AND LSTM FOR AUTOMATIC SPEECH RECOGNITION

, 2016
This paper proposes to compare Gated Recurrent Unit (GRU) and Long Short Term Memory (LSTM) for speech recognition acoustic models. While these recurrent models were mainly proposed for simple read speech tasks, we experiment on a large vocabulary ...
Lecouteux, Benjamin, Besacier, Laurent, Khandelwal, Shubham   +2 more
core   +2 more sources

Evaluation of Solar Radiation Prediction Models Using AI: A Performance Comparison in the High-Potential Region of Konya, Türkiye

Atmosphere
Solar radiation is one of the most abundant energy sources in the world and is a crucial parameter that must be researched and developed for the sustainable projects of future generations.
Vahdettin Demir
doaj   +1 more source

State of the art in energy consumption using deep learning models

AIP Advances
In the literature, it is well known that there is a bidirectional causality between economic growth and energy consumption. This is why it is crucial to forecast energy consumption.
Shikha Yadav, Nadjem Bailek, Prity Kumari, Alina Cristina Nuţă, Aynur Yonar, Thomas Plocoste, Soumik Ray, Binita Kumari, Mostafa Abotaleb, Amal H. Alharbi, Doaa Sami Khafaga, El-Sayed M. El-Kenawy   +11 more
doaj   +1 more source

Predicting Power Consumption Using Deep Learning with Stationary Wavelet

Forecasting
Power consumption in the home has grown in recent years as a consequence of the use of varied residential applications. On the other hand, many families are beginning to use renewable energy, such as energy production, energy storage devices, and ...
Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh, Faouzi Derbel   +3 more
doaj   +1 more source