Results 21 to 30 of about 49,141 (264)
X-MLP: A Patch Embedding-Free MLP Architecture for Vision
2023 International Joint Conference on Neural Networks (IJCNN), 2023 Convolutional neural networks (CNNs) and vision transformers (ViT) have obtained great achievements in computer vision. Recently, the research of multi-layer perceptron (MLP) architectures for vision have been popular again. Vision MLPs are designed to be independent from convolutions and self-attention operations.
Xinyue Wang, Zhicheng Cai, Chenglei Peng
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Modeling of River Sediment Estimation Using Artificial Neural Network Method (Case Study: Vanai River) [PDF]
تحقیقات کاربردی علوم جغرافیایی, 2022 The purpose of this study was to estimate the amount of sediment of Vanai River in Borujerd. In this research, the characteristics of the sub-basins of this river have been extracted first. These specifications include the physical characteristics of the
Dariush Abolfathi +2 more
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A DEEP LEARNING MODEL FOR ELECTRICITY DEMAND FORECASTING BASED ON A TROPICAL DATA [PDF]
Applied Computer Science, 2020 Electricity demand forecasting is a term used for prediction of users’ con-sumption on the grid ahead of actual demand. It is very important to all power stakeholders across levels.
Saheed A. ADEWUYI +2 more
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Prognostic Analysis of Hyponatremia for Diseased Patients Using Multilayer Perceptron Classification Technique [PDF]
EAI Endorsed Transactions on Pervasive Health and Technology, 2021 INTRODUCTION: The sodium electrolyte deficiency in the human serum is known as Hyponatremia. The deficiency of sodium in the blood indulges many problems for the patients. If the sodium range in human serum not managed and treated it creates difficulties
Prasannavenkatesan Theerthagiri +2 more
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Estimation of Ambient Air PM2.5 Concentration Using MLP and RBF [PDF]
Journal of Advances in Environmental Health ResearchBackground: Exposure to air pollutants, such as PM2.5 is recognized as a significant health risk, contributing to the development of various diseases, and increased risk of premature mortality.Methods: Multilayer perceptron (MLP) and radial basis ...
Ali Mohammadi Bardshahi +3 more
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Daily river flow forecasting in a semi-arid region using twodatadriven [PDF]
Desert, 2015 Rainfall-runoff relationship is very important in many fields of hydrology such as water supply and water resourcemanagement and there are many models in this field. Among these models, the Artificial Neural Network (ANN) wasfound suitable for processing
Mahboobeh Moatamednia +6 more
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Efficient Classification of DDoS Attacks Using an Ensemble Feature Selection Algorithm
Journal of Intelligent Systems, 2017 In the current cyber world, one of the most severe cyber threats are distributed denial of service (DDoS) attacks, which make websites and other online resources unavailable to legitimate clients.
Singh Khundrakpam Johnson, De Tanmay
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MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 CVPR 2022; Code is publicly available at: https://github.com/ZhaofanQiu/MLP ...
QIU, Zhaofan +3 more
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Publicación Electrónica de la Asociación Paleontológica ArgentinaIn 1903, Florentino Ameghino erected the genus and species Caenophilus tripartitus based on a mandibular fragment and a lower isolated molar. The former specimen was illustrated about a decade later and it has been considered missing since, at least ...
Mercedes Fernández +2 more
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Predictive Models for Imbalanced Data: A School Dropout Perspective
Education Sciences, 2019 Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets.
Thiago M. Barros +3 more
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