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Nasser Alenezi, Abdalrahman Alsulaili and Mohamad Alkhalidi
Creating an efficient model for predicting sea level fluctuations is essential for climate change research. This study examined the effectiveness of utilizing Artificial Neural Networks (ANNs), particularly the recurrent network approach. ANNs were chose...
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Giovanni Zanotti, Michele Ceresoli and Michèle Lavagna
To support the increasing number of planned lunar missions, a collaborative international initiative is underway to conceptualise and establish a lunar satellite constellation for communication and navigation. In this context, the goal of the current pap...
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Madhurima Das, Chandan Kumar Deb, Ram Pal and Sudeep Marwaha
In this study, leaf area prediction models of Dendrobium nobile, were developed through machine learning (ML) techniques including multiple linear regression (MLR), support vector regression (SVR), gradient boosting regression (GBR), and artificial neura...
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Wenxiong Shi, Qi Zhang, Huimin Xie and Wei He
As a promising method for moiré processing, sampling moiré has attracted significant interest for binocular vision-based 3D measurement, which is widely used in many fields of science and engineering. However, one key problem of its 3D shape measurement ...
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Rasoul Sanaei, Brian Alphonse Pinto and Volker Gollnick
The European Air Traffic Management Network (EATMN) is comprised of various stakeholders and actors. Accordingly, the operations within EATMN are planned up to six months ahead of target date (tactical phase). However, stochastic events and the built-in ...
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