Results 1 to 10 of about 49,042 (167)
Neural Network Modeling for Development of High-Pressure Measurement of Carbon Dioxide Solubility in the Aqueous AEEA+Sulfolane [PDF]
Journal of Chemical and Petroleum Engineering, 2023 Due to increasing concerns about global warming regarding CO2 release to the atmosphere, various methods are used to capture CO2, among which chemical absorption via amine mixture solutions is very well developed.
Arman Hasanzadeh +2 more
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Prediction of Discharge Using Artificial Neural Network and IHACRES Models Due to Climate Change [PDF]
Journal of Renewable Energy and Environment, 2021 Understanding of climate change and its impacts on river discharge has affected the quality and quantity of water and also supplying water requirements for drinking, agriculture and industry.
Maryam Hafezparast, Seiran Marabi
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Evaluating the performance of artificial intelligence models for temperature downscaling (Study area: Ardabil province) [PDF]
علوم محیطی, 2022 Introduction: Long and short term weather forecasting have been as two of the most important challenges to water and climate researchers. In order to overcome this challenge, several tools, including atmospheric-ocean general circulation model ...
Mohammad Hossein Jahangir +1 more
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MLP-Mixer: An all-MLP Architecture for Vision
CoRR, 2021 v2: Fixed parameter counts in Table 1. v3: Added results on JFT-3B in Figure 2(right); Added Section 3.4 on the input permutations. v4: Updated the x label in Figure 2(right)
Ilya O. Tolstikhin +11 more
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Publicación Electrónica de la Asociación Paleontológica Argentina, 2023 Species of the cellariid genus Melicerita Milne Edwards develop bilaminar flattened colonies consisting of alternate transverse rows of hexagonal zooids. In South America, its stratigraphic range extends from the early Miocene to the Recent.
Juan López Gappa, Leandro Martín Perez
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AS-MLP: An Axial Shifted MLP Architecture for Vision
CoRR, 2021 Accepted by ...
Dongze Lian +3 more
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S2-MLP: Spatial-Shift MLP Architecture for Vision [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 Recently, visual Transformer (ViT) and its following works abandon the convolution and exploit the self-attention operation, attaining a comparable or even higher accuracy than CNNs. More recently, MLP-Mixer abandons both the convolution and the self-attention operation, proposing an architecture containing only MLP layers.
Tan Yu +4 more
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Rethinking Token-Mixing MLP for MLP-based Vision Backbone [PDF]
Proceedings of the British Machine Vision Conference 2021, 2021 In the past decade, we have witnessed rapid progress in the machine vision backbone. By introducing the inductive bias from the image processing, convolution neural network (CNN) has achieved excellent performance in numerous computer vision tasks and has been established as \emph{de facto} backbone.
Tan Yu +4 more
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TT-MLP: Tensor Train Decomposition on Deep MLPs
IEEE Access, 2023 Deep multilayer perceptrons (MLPs) have achieved promising performance on computer vision tasks. Deep MLPs consist solely of fully-connected layers as the conventional MLPs do but adopt more sophisticated network architectures based on mixer layers composed of token-mixing and channel-mixing components.
Jiale Yan +3 more
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Strip-MLP: Efficient Token Interaction for Vision MLP
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Token interaction operation is one of the core modules in MLP-based models to exchange and aggregate information between different spatial locations. However, the power of token interaction on the spatial dimension is highly dependent on the spatial resolution of the feature maps, which limits the model's expressive ability, especially in deep layers ...
Guiping Cao +6 more
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