Results 71 to 80 of about 156,045 (186)

Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble

PLOS One
Protein-protein interactions is essential for cellular processes in all organisms. The accurate in-silico identification of these interactions is a significant area of research in biology-related fields, which is crucial for protein function prediction and drug design.
Qiuhong Lan, Zhongtuan Zheng, Zhen Tang, Xuehua Qiu, Zhixiang Yin   +4 more
openaire   +3 more sources

willbradshaw/covid-bidirectional-tracing:v1.0

, 2020
Branching process model of bidirectional contact tracing for COVID ...
William J. Bradshaw
core   +1 more source

A hybrid Bi-GRU–bi-LSTM framework for multivariate climate finance forecasting: Application to the most vulnerable countries

Array
Accurately forecasting climate finance flows is essential for guiding equitable resource allocation to the most vulnerable countries under the Paris Agreement. This study proposes a novel hybrid deep learning framework that integrates Bidirectional Gated
Amna Farooqui Arsalan, Falak Khan
doaj   +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

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

Inter-Personal Relation Extraction Model Based on Bidirectional GRU and Attention Mechanism

, 2020
Inter-Personal Relationship Extraction is an important part of knowledge extraction and is also the fundamental work of constructing the knowledge graph of people's relationships.
Li, Gangmin, Dai, Zhenjin, Wang, Xutao, Ni, Pin, Li, Yuming   +4 more
core  

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

A discrete time Markov chain model for high throughput bidirectional Fano decoders [PDF]

, 2010
The bidirectional Fano algorithm (BFA) can achieve at least two times decoding throughput compared to the conventional unidirectional Fano algorithm (UFA). In this paper, bidirectional Fano decoding is examined from the queuing theory perspective.
Koçak, T, Taskin Kocak, Morris, KA, Woodward, G, Ran Xu, Kevin Morris, Xu, R, Graeme Woodward   +7 more
core   +1 more source

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

Data-driven residential electricity load forecasting method for virtual power plants

Journal of Engineering and Applied Science
Virtual power plants (VPP) integrate distributed energy resources and residential loads to enhance the flexibility and reliability of power systems. Accurate residential electricity load forecasting is therefore essential for VPP scheduling and demand ...
Wenbin Hao, Bo Xie, Zhigao Meng, Huanhuan Li, Yan Tu, Qinlu Fang, Jing Xue, Yiming Hu   +7 more
doaj   +1 more source