Results 11 to 20 of about 49,141 (264)
Hire-MLP: Vision MLP via Hierarchical Rearrangement
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Previous vision MLPs such as MLP-Mixer and ResMLP accept linearly flattened image patches as input, making them inflexible for different input sizes and hard to capture spatial information. Such approach withholds MLPs from getting comparable performance with their transformer-based counterparts and prevents them from becoming a general backbone for ...
Jianyuan Guo +7 more
openaire +2 more sources
Scientific Reports, 2021 Development has intrigued humanity since ancient times. Today, the main paradigm in developmental biology and evolutionary developmental biology (evo-devo) is the genetic program, in which development is explained by the interplay and interaction of ...
Agustín Ostachuk
doaj +1 more source
Pressure Drop Prediction in Fluidized Dense Phase Pneumatic Conveying using Machine Learning Algorithms [PDF]
Journal of Applied Fluid Mechanics, 2023 Modeling of pressure drop in fluidized dense phase conveying (FDP) of powders is a tough work as the flow comprises of various interactions among solid, gas and pipe wall. It is difficult to incorporate these interactions into a model.
J. s. Shijo, N. Behera
doaj +1 more source
COMPARISON OF PERFORMANCE OF RBF AND MLP NEURAL NETWORKS FOR RESULTS OF SIMULTANEOUS HEAT & MASS TRANSFER [PDF]
مجله مدل سازی در مهندسی, 2013 In most of the chemical engineering processes, the phenomena of mass and heat transfer are among their inseparable parts. In the present paper, simultaneous heat and mass transfer has been studied experimentally by a laboratory setup.
F. Karimi Zad Gohari, A. Shahsavand
doaj +1 more source
PREDICTION OF THE COMPRESSIVE STRENGTH OF ENVIRONMENTALLY FRIENDLY CONCRETE USING ARTIFICIAL NEURAL NETWORK [PDF]
Applied Computer Science, 2022 The paper evaluated the possibility of using artificial neural network models for predicting the compressive strength (Fc) of concretes with the addition of recycled concrete aggregate (RCA).
Monika KULISZ +4 more
doaj +1 more source
Understanding MLP-Mixer as a Wide and Sparse MLP
, 2023 Accepted in ICML ...
Tomohiro Hayase, Ryo Karakida
openaire +3 more sources
On Regularizing Coordinate-MLPs
CoRR, 2022 We show that typical implicit regularization assumptions for deep neural networks (for regression) do not hold for coordinate-MLPs, a family of MLPs that are now ubiquitous in computer vision for representing high-frequency signals. Lack of such implicit bias disrupts smooth interpolations between training samples, and hampers generalizing across ...
Sameera Ramasinghe +2 more
openaire +2 more sources
CoRR, 2021 Transformers have become one of the most important architectural innovations in deep learning and have enabled many breakthroughs over the past few years. Here we propose a simple network architecture, gMLP, based on MLPs with gating, and show that it can perform as well as Transformers in key language and vision applications. Our comparisons show that
Hanxiao Liu +3 more
openaire +3 more sources
GC-MLP: Graph Convolution MLP for Point Cloud Analysis
Sensors, 2022 With the objective of addressing the problem of the fixed convolutional kernel of a standard convolution neural network and the isotropy of features making 3D point cloud data ineffective in feature learning, this paper proposes a point cloud processing method based on graph convolution multilayer perceptron, named GC-MLP.
Yong Wang 0057 +5 more
openaire +3 more sources
Modeling of Groundwater Salinity Using Artificial Neural Network (ANN) and Geographic Information System (GIS) on the Caspian Southern Coasts [PDF]
علوم و مهندسی آبیاری, 2019 Introduction Groundwater is one of the most important water resources on earth, and water salinity studies are very important for the protection and planning of water resources, especially in arid and semiarid areas such as Iran.
Marhamat Sebghati, Vahid Sebghati
doaj +1 more source