2 天前 - … combinations of physical of the sub-basins and hydrological datasets. These datasets
were then utilized to train deep … , whereas deep learning, such as deep neural networks (…

2 天前 - … -modal attention and Self-attention to improve learning from both image and text
modalities. … all three tasks in the CrisisMMD dataset by combining textual and image analysis, …

2 天前 - … This paper presents two deeplearning frameworks to solve … Secondly, we devise a
deep learning-based framework to … Simulation results show that combining both frameworks …

2 天前 - … While deep learning-based scene segmentation is … tissue discrimination using a
deep neural network is feasible with … By combining all strategies, we achieve a speedup of up …

2 天前 - … Hence, this thesis presents a comprehensive approach that integrates deep learning
… The integrated approach combining deep learning with machine learning techniques …

2 天前 - … on the other hand, deep learning segmentation methods often … a semi-supervised
learning algorithm called Double U-Net (… Further, the semi-supervised learning network in this …

2 天前 - Cell behavior is governed by a combination of internal and external factors, including
both chemical 31 and mechanical signals. The design and implementation of bioreactors, …

2 天前 - … , we propose a deep reinforcement learning framework guided … By combining the
PID control strategy with deep … such as deep learning, genetic algorithms, and fuzzy logic. …

2 天前 - … The research presented in this document underscores the importance of combining
Deep Learning techniques and fuzzy behaviors to achieve reactive autonomous navigation …

2 天前 - … This study proposes two deep learning models, UCM-NetV2 … We are the first to
explore combining binary neural … By combining advanced CNN techniques with the efficiency …