Attention-Enabled Multi-Layer Subword Joint Learning for Chinese Word Embedding

Information Science, Computer Science, Artificial Intelligence,
Chinese word embedding   Semantic analysis   Attention mechanism   Feature substring   Morphological information   Pronunciation information  

Academic Background In recent years, Chinese word embeddings have attracted significant attention in the field of Natural Language Processing (NLP). Unlike English, the complex and diverse structure of Chinese characters presents unique challenges for semantic representation. Traditional word vector models, such as Word2Vec, often fail to fully cap...

Leveraging Graph Convolutional Networks for Semi-Supervised Learning in Multi-View Non-Graph Data

Information Science, Computer Science, Artificial Intelligence,
multi-view data   semi-supervised learning   graph estimation   consensus graph   graph convolutional networks  

Background Introduction In the field of machine learning, Semi-Supervised Learning (SSL) has garnered significant attention due to its ability to leverage a small amount of labeled data and a large amount of unlabeled data for learning. Particularly in scenarios where data labeling is costly, graph-based semi-supervised learning methods have become...

A Holistic Comparative Study of Large Language Models as Emotional Support Dialogue Systems

Information Science, Computer Science, Artificial Intelligence,
Emotional Support Conversation   Large Language Models   Dialogue Systems   Comparative Study   Emotional Support Strategies  

Academic Background In recent years, with the rapid development of large language models (LLMs), their applications in the field of natural language processing (NLP) have become increasingly widespread. LLMs such as ChatGPT and LLaMA have demonstrated powerful capabilities in language generation and comprehension, even excelling in emotional expres...

A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications

Mathematics, Information Science, Computer Science, Artificial Intelligence, Medicine,
fuzzy set   intuitionistic fuzzy set   picture fuzzy set   similarity measure   pattern analysis   multicriteria decision-making  

Academic Background In fields such as decision analysis, pattern recognition, and medical diagnosis, fuzzy set theory provides essential mathematical tools for handling uncertainty and ambiguity. Traditional fuzzy sets (Fuzzy Set, FS) and intuitionistic fuzzy sets (Intuitionistic Fuzzy Set, IFS) have certain limitations when dealing with complex da...

EPDTNet + -EM: Advanced Transfer Learning and Subnet Architecture for Medical Image Diagnosis

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
medical image classification   enhanced exponential transfer learning   parallel subnet (PSNet +)   explainable AI (XAI)   feature extraction   abnormality detection   computational efficiency  

Academic Background In today’s healthcare environment, medical imaging plays a crucial role in disease diagnosis, treatment planning, and health management. However, traditional medical image analysis methods face numerous challenges, such as overfitting, high computational costs, limited generalization capabilities, and issues related to noise, si...

Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Electroencephalogram   Dementia   Alzheimer's Disease   Frontotemporal Dementia   Short-Time Fourier Transform   Convolutional Neural Networks  

Background Introduction Dementia is a global health issue that significantly impacts patients’ quality of life and places a substantial burden on healthcare systems. Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD) are two common types of dementia, and their overlapping symptoms make accurate diagnosis and targeted treatment development p...