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Interference Management for a Wireless Communication Network Using a Recurrent Neural Network Approach

Mathematics
Wireless communication technologies have profoundly impacted the interconnectivity of mobile users and terminals. Nevertheless, the exponential increase in the number of users poses significant challenges, particularly in interference management, which ...
Mohammad Abrar Shakil Sejan +6 more
doaj +1 more source

Perbandingan Metode Bi-LSTM dan Bi-GRU dalam Memprediksi Harga Cryptocurrency dengan Estimasi Risiko Value at Risk dan Expected Shortfall

Cryptocurrency berkembang pesat sebagai salah satu instrumen investasi digital dengan potensi keuntungan besar, namun disertai risiko tinggi akibat volatilitas harga dan ketidakpastian regulasi. Perkembangan aset kripto di Indonesia semakin diperhatikan,
Mulyana, Mutya Febby
core

Image1_An ensemble model for short-term wind power prediction based on EEMD-GRU-MC.TIF

As a kind of clean and renewable energy, wind power is of great significance for alleviating energy crisis and environmental pollution. However, the strong randomness and large volatility of wind power bring great challenges to the dispatching and safe ...
Peilin Wang (4448401) +4 more
core +1 more source

Bi-GRU-APSO: Bi-Directional Gated Recurrent Unit with Adaptive Particle Swarm Optimization Algorithm for Sales Forecasting in Multi-Channel Retail

In the present scenario, retail sales forecasting has a great significance in E-commerce companies. The precise retail sales forecasting enhances the business decision making, storage management, and product sales. Inaccurate retail sales forecasting can
Aruna Mogarala Guruvaya +4 more
core +1 more source

Comparative Evaluation of Regression Models and Bi-GRU for GNSS Position Time Series Forecasting

Accurate forecasting of the up component in Global Navigation Satellite System (GNSS) time series is crucial for applications in geodesy, structural monitoring, and hazard mitigation. This study compares the performance of several regression models and a
Şimşek, Merve, Taşkıran, Murat, Doğan, Uğur +2 more
core +1 more source

Predicting water quality in purification plants: a simulation system

Applied Water Science
The quality of drinking water is a pivotal global concern, with water purification plants striving to ensure the safety and potability of the water supply.
Said Salloum
doaj +1 more source

AI-Based Prediction of Stock Movements: LSTM and GRU Models for the Swedish Market

Att förutse aktiekursrörelser är en central utmaning för investerare som strävar efteratt minska risker och öka framgången för sina investeringar. Detta examensarbeteundersöker potentialen hos två AI-baserade modeller, Long Short-Term memory(LSTM) och ...
Hosseinbor, Sannaz
core +3 more sources

Bidirectional gated recurrent unit network model can generate future visual field with variable number of input elements.

PLoS ONE
PurposeThis study aimed to predict future visual field tests using a bidirectional gated recurrent unit (Bi-GRU) and assess its performance based on the number of input visual field tests and the prediction time interval.Materials and methodsThis study ...
Joohwang Lee +7 more
doaj +1 more source

Klasifikasi Penyakit Paru-paru Berdasarkan Suara Pernapasan Menggunakan Metode ResNet101 dan Bi-GRU

Penyakit paru-paru merupakan salah satu penyebab utama morbiditas dan mortalitas di dunia, sehingga deteksi dini menjadi langkah penting dalam pencegahan dan penanganannya.
Sari, Kartika
core

GRU

Die GRU, der russische Militärgeheimdienst ist einer der effektivsten und geheimsten Nachrichtendienste weltweit. Bis heute gibt es im Westen kaum gesicherte Informationen über die GRU, vor allem, weil bis in die Gegenwart kaum ein Dokument aus den ...
Matthias Uhl
core +1 more source

deep learning
bidirectional gated recurrent unit
gated recurrent unit

convolutional neural network
bidirectional gru
machine learning

medicine
long short-term memory
recurrent neural network