Zobrazeno 1 - 10 of 535 pro vyhledávání: '"Hameed, Ibrahim A."'
1
Report
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up Table 2006
Autor: Djeddou, Messaoud, Hellal, Aouatef, Hameed, Ibrahim A., Zhao, Xingang, Dallal, Djehad Al
This study explores the development of a hybrid deep convolutional neural network (DCNN) model enhanced by autoencoders and data augmentation techniques to predict critical heat flux (CHF) with high accuracy. By augmenting the original input features
Externí odkaz: http://arxiv.org/abs/2408.14626
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2
Report
Obstacle-Aware Navigation of Soft Growing Robots via Deep Reinforcement Learning
Autor: El-Hussieny, Haitham, Hameed, Ibrahim
Soft growing robots, are a type of robots that are designed to move and adapt to their environment in a similar way to how plants grow and move with potential applications where they could be used to navigate through tight spaces, dangerous terrain,
Externí odkaz: http://arxiv.org/abs/2401.11203
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7
Akademický článek
Advancing soil erosion prediction in Wadi Sahel-Soummam watershed Algeria: A comparative analysis of deep neural networks (DNN) and convolutional neural networks (CNN) models integrated with GIS
Autor: Mokhtari Elhadj, Djeddou Messaoud, Hameed Ibrahim A., Shawaqfah Moayyad
Publikováno v: Glasnik Srpskog Geografskog Društva, Vol 104, Iss 1, Pp 41-54 (2024)
This study employs adaptive deep learning (utilizing DNN and CNN approaches) to accurately predict soil erosion, a crucial aspect of sustainable soil resource management. The goal is to develop fuzzy logic models for erosion forecasting in a large
Externí odkaz: https://doaj.org/article/4dcd1cc17f384c53b3e81ee7a3613ef3
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