The paper presents a number of advanced solutions on electric machines and machine-based
systems for the powertrain of electric vehicles (EVs). Two types of systems are considered…

Event extraction is challenging due to the complex structure of event records and the
semantic gap between text and event. Traditional methods usually extract event records by …

In hyperspectral image (HSI) classification, each pixel sample is assigned to a land-cover
category. In the recent past, convolutional neural network (CNN)-based HSI classification …

Entity Linking (EL) is the task of linking name mentions in Web text with their referent entities
in a knowledge base. Traditional EL methods usually link name mentions in a document by …

An investment factor, long in low-investment stocks and short in high-investment stocks,
helps explain the new issues puzzle. Adding the investment factor into standard factor …

Deep learning has been extensively applied to segmentation in medical imaging. U‐Net
proposed in 2015 shows the advantages of accurate segmentation of small targets and its …

Cloud technology connects a network of virtualized computers that are dynamically provisioned
as computing resources, based on negotiated agreements between service providers …

Perineural invasion (PNI) can be found in a variety of malignant tumors. It is a sign of tumor
metastasis and invasion and portends the poor prognosis of patients. The pathological …

Retrieval-Augmented Generation (RAG) is a promising approach for mitigating the hallucination
of large language models (LLMs). However, existing research lacks rigorous evaluation …

Information extraction suffers from its varying targets, heterogeneous structures, and
demand-specific schemas. In this paper, we propose a unified text-to-structure generation framework…