A novel deep learning framework based swin transformer for dermal cancer cell classification

K Ramkumar, EP Medeiros, A Dong… - … Applications of Artificial …, 2024 - Elsevier
Recent studies have demonstrated the efficacy of deep learning architectures in enhancing
the interpretation of skin images, thereby aiding in the classification and segmentation of …

Improved modeling and generalization capabilities of graph neural networks with legendre polynomials

J Chen, L Xu - IEEE Access, 2023 - ieeexplore.ieee.org
LegendreNet is a novel graph neural network (GNNs) model that addresses stability issues
present in traditional GNN models such as ChebNet, while also more effectively capturing …

Hybrid recommendation system with graph neural collaborative filtering and local self-attention mechanism

A Zhang, Y Sun, S Cheng, J Yang, X Sun, Z Liu… - … Conference on Neural …, 2023 - Springer
As the problem of information overload becomes increasingly serious, traditional
recommendation algorithms are difficult to efficiently provide assistance to users. In this …

Air Quality Prediction Based on Graph Attention Network

C Deng, L Liu, C Wang, Z Chen - 2023 4th International …, 2023 - ieeexplore.ieee.org
Air quality is related to air pollution, weather, and exhaust emissions. Several previous
studies have used temporal data for air quality prediction. However, the air is diffuse, and the …

Plant Classification based on Grey Wolf Optimizer based Support Vector Machine (GOS) Algorithm

P Keerthika, RM Devi, SJS Prasad… - 2023 7th …, 2023 - ieeexplore.ieee.org
Leaves are the primary identifying feature of trees and other plants. Many of these plants are
used in the pharmaceutical industry as industrial crops. Growing automation in industries …