Investigating photovoltaic solar power output forecasting using machine learning algorithms
Solar power integration in electrical grids is complicated due to dependence on volatile
weather conditions. To address this issue, continuous research and development is required …
weather conditions. To address this issue, continuous research and development is required …
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms
High loads of suspended sediments in rivers are known to cause detrimental effects to
potable water sources, river water quality, irrigation activities, and dam or reservoir …
potable water sources, river water quality, irrigation activities, and dam or reservoir …
A survey of machine learning techniques for improving Global Navigation Satellite Systems
Abstract Global Navigation Satellite Systems (GNSS)-based positioning plays a crucial role
in various applications, including navigation, transportation, logistics, map**, and …
in various applications, including navigation, transportation, logistics, map**, and …
A real-time c-v2x beamforming selector based on effective sequence to sequence prediction model using transitional matrix hard attention
For C-V2X systems, the selection of the best beam in a real-time mode becomes an
increasingly critical and yet open topic. Most of the existing approaches adopt either …
increasingly critical and yet open topic. Most of the existing approaches adopt either …
A gps distance error forecast model based on iir filter denoising and lstm
Wireless channel prediction has attracted significant attention in recent years but is still
considered an open topic. Global positioning system (GPS) error prediction is one such …
considered an open topic. Global positioning system (GPS) error prediction is one such …
A real-time Seq2Seq beamforming prediction model for C-V2X links
The chapter presents the research on a real-time deep-learning beamforming prediction
model for C-V2X systems. Machine Learning (ML) for modeling and predicting wireless …
model for C-V2X systems. Machine Learning (ML) for modeling and predicting wireless …
An ensembled approach to time series prediction for vehicle communication
Machine Learning (ML) for accurately modeling and predicting the wireless channel for
various application especially in vehicle is essential for increased safety. In some scenarios …
various application especially in vehicle is essential for increased safety. In some scenarios …
Study of positioning estimation with user position affected by outlier: a case study of moving-horizon estimation filter
M Awawdeh, TF Ibrahim, A Bashir… - TELKOMNIKA …, 2022 - telkomnika.uad.ac.id
Many applications which require accurate location point positioning systems utilize global
position system for pseudosciences. One of the main challenges faced by the system occurs …
position system for pseudosciences. One of the main challenges faced by the system occurs …
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Abstract Machine learning (ML) for predicting wireless channels of vehicular
communications networks has attracted interest in recent years. Beamforming is a technique …
communications networks has attracted interest in recent years. Beamforming is a technique …