Fault diagnosis of rotating machinery based on deep learning requires many identical
labeled data to achieve satisfactory results. However, in engineering scenarios, few typical …

This study presents a novel approach to automatic generation of cultural and contextspecific
science assessments for K-12 education using generative AI (GenAI). We first developed a …

Recent advancements in natural language processing have demonstrated the efficacy of pre-
trained language models for various downstream tasks through prompt-based fine-tuning. In …

Time series self-supervised learning is gaining increasing importance owing to its powerful
representation ability in unlabeled situations. One of the greatest challenges is extracting …

An individual's actions in a particular environment and with specified resources can reveal
their decision-making tendencies and patterns, and by analyzing the variations in cognitive …

İstem mühendisliği, büyük dil modellerinin yeteneklerini artırmak için kritik bir teknik olarak
ortaya çıkmıştır. İstem adı verilen talimatlar ile model parametrelerini değiştirmeden ince …

本研究探讨了人工智能(AI) 生成内容中的话语认知特征, 旨在分析这些内容在语言表达,
认知负荷, 语义连贯性等方面的特性与差异. 通过系统文献回顾, 概述了AI 生成模型的发展历程和 …

This research addresses a critical gap in the literature by investigating the impact of prompt
engineering on generating high-quality learning materials for EFL students using the …