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EXT: 作品数：357被引量：732H指数：14; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：梁英民韩骅黄斯勇张萍何飞更多>>; 相关机构：第四军医大学第四军医大学唐都医院西北师范大学小米科技有限责任公司更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中国博士后科学基金更多>>

基于DP-Textrank的手机产品消费者需求偏好研究: 《经营与管理》2025年第3期61-67,共7页钟正徐子鸣黄逸超; 随着科技水平的提高和物质生活的丰富,消费者对产品的需求和期望也越来越高。能否针对不同消费层次消费者产出最能迎合消费者属性需求的商品线,成为企业能否成功的关键。随着电商平台的发展,消费者为了分享购物体验发表了许多在线评论信...; 关键词：在线评论需求偏好依存句法分析文本摘要

Differential Privacy-Enabled TextCNN for MOOCs Fake Review Detection: 《Journal of Electronic Research and Application》2025年第1期191-201,共11页Caiyun Chen; The rapid development and widespread adoption of massive open online courses(MOOCs)have indeed had a significant impact on China’s education curriculum.However,the problem of fake reviews and ratings on the platform ...; 关键词：DP-TextCNN Differential Privacy Fake review MOOCs

Relationship Between Stress and Texture in L1_(0)-FePt Thin Films: 《稀有金属材料与工程》2025年第2期337-342,共6页Wang Xuanli Li Wei; Inner Mongolia Natural Science Foundation Project(2020LH05028)。; Impact of texture type on the magnetic properties of ultrahigh density perpendicular magnetic recording media L1_(0)-FePt thin film was investigated,so were the texture formation and evolution mechanism.Reuss,Voigt,an...; 关键词：L1_(0)-FePt film TEXTURE STRESS elastic modulus

Teaching Life Writing: Theory and Textual Practice: 《Cultural and Religious Studies》2024年第12期741-746,共6页Tzu Yu Allison Lin Erhan Yokuş; In this research about teaching life-writing,the authors would like to focus on different ways of demonstrating narratives about personal lives.Some established research articles and academic writings on autobiography...; 关键词：WRITING NARRATIVE auto/biography TEACHING CLASSROOM

Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning: 《IEEE/CAA Journal of Automatica Sinica》2024年第11期2253-2269,共17页Kui Jiang Ruoxi Wang Yi Xiao Junjun Jiang Xin Xu Tao Lu; supported by the National Natural Science Foundation of China (U23B2009, 62376201, 423B2104);Open Foundation (ZNXX2023MSO2, HBIR202311)。; Degradation under challenging conditions such as rain, haze, and low light not only diminishes content visibility, but also results in additional degradation side effects, including detail occlusion and color distorti...; 关键词：Association learning attention mechanism image enhancement perturbation modeling

Ensemble Filter-Wrapper Text Feature Selection Methods for Text Classification: 《Computer Modeling in Engineering & Sciences》2024年第11期1847-1865,共19页Oluwaseun Peter Ige Keng Hoon Gan; supported by Universiti Sains Malaysia(USM)and School of Computer Sciences,USM。; Feature selection is a crucial technique in text classification for improving the efficiency and effectiveness of classifiers or machine learning techniques by reducing the dataset’s dimensionality.This involves elim...; 关键词：Metaheuristic algorithms text classification multi-univariate filter feature selection ensemble filter-wrapper techniques

A glance at in-context learning: 《Frontiers of Computer Science》2024年第5期231-232,共2页Yongliang WU Xu YANG; This work was supported by the National Natural Science Foundation of China(Grant No.62206048);Natural Science Foundation of Jiangsu Province(BK20220819);Young Elite Scientists Sponsorship Program of Jiangsu Association for Science and Technology(Tj-2022-027);the Big Data Computing Center of Southeast University.; The advent of large scale models such as CLIP[1],GPT-2[2],and GPT-3[3]has marked a significant shift in the field of Artificial Intelligence(AI).Unlike the early days of Al,characterized by the design of distinct mode...; 关键词：SUCH HAS UNIFIED

A Novel Optimization Scheme for Named Entity Recognition with Pre-trained Language Models: 《Journal of Electronic Research and Application》2024年第5期125-133,共9页Shuanglong Li Xulong Zhang Jianzong Wang; Named Entity Recognition(NER)is crucial for extracting structured information from text.While traditional methods rely on rules,Conditional Random Fields(CRFs),or deep learning,the advent of large-scale Pre-trained La...; 关键词：GPT-3 Named Entity Recognition Sentence-BERT model In-context example

基于深度学习的网络评论文本情感分析方法: 《建模与仿真》2024年第5期5372-5381,共10页李大一王友国翟其清; 国家自然科学基金项目(62071248)、国家自然科学基金项目(62201284)。; 在自然语言处理的众多研究领域中,文本的情感层面分析已成为一个备受瞩目的课题。针对情感分析任务中存在的文本向量表示语义不佳和特征提取不足导致分类不准确的问题,本研究提出了一种融合了RoBERTa-wwm-ext模型和多头注意力机制的深...; 关键词：文本情感分析 RoBERTa-wwm-ext Bi-LSTM Mutil-Head-Attention

基于改进YOLOv5s的滚动轴承表面缺陷识别算法: 《机床与液压》2024年第18期230-236,共7页宁少慧段攀龙杜越张少鹏邓功也; 山西省应用基础研究计划(20210302123212)。; 为了解决机械设备轴承表面缺陷检测中多目标情形下的小目标漏检率高、检测速度慢、模型精度和特征提取泛化能力不足的问题,提出一种滚动轴承表面缺陷识别网络模型YOLOv5s-CDOD。在卷积操作前,使用B-ConvNeXt网络平衡模型的精度和复杂度...; 关键词：缺陷识别 YOLOv5s网络 B-ConvNeXt网络二次深度过参数化卷积 VariFocal Loss函数

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