IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks

Abstract: Quantum computing, with its unique principles such as superposition and entanglement, promises to transform various domains, including artificial intelligence. This study investigates the ...
IEEE

XceptMPX: A Robust Deep Learning-Powered Web System for Mpox Detection and Classification

Abstract: The rise of mpox as a global health concern highlights the necessity of effective early detection strategies to manage its propagation. Though less fatal than COVID-19, mpox poses some ...
IEEE

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...
IEEE

Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression

Efficient transmission of 3D point cloud data is critical for advanced perception in centralized and decentralized multi-agent robotic systems, especially nowadays with the growing reliance on edge ...
IEEE

Short Text Classification with Vertex Entanglement Enhanced Graph Contrastive Learning

Abstract: Short text classification is one of the core tasks in the field of natural language processing, which has attracted extensive attention due to problems such as semantic sparsity and ...
IEEE

Generative Data-Driven Dynamic Deep Learning Classifier Selection for Hyperspectral Image Classification

Abstract: Deep learning has emerged as a critical paradigm in hyperspectral image (HSI) classification, addressing the inherent challenges posed by high-dimensional data and limited labeled samples.
IEEE

News Text Classification for Wolaita Language Using Transformer-based Model and Deep Learning Approach

Abstract: NLP, an AI field, that allows communication between computers and humans. NLP news text classification uses machine learning to categorize news into predefined groups. The vast volume of ...