发布求助
文献互助 智能选刊 最新文献

Applied Artificial Intelligence最新文献

筛选
英文 中文
Toward Data-Driven and Multi-Scale Modeling for Material Flow Simulation: Characteristic Analysis of Modeling Methods 材料流动模拟的数据驱动和多尺度建模：建模方法特征分析
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-06-17 DOI: 10.1080/08839514.2024.2367840
Satoshi Nagahara, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo
{"title":"Toward Data-Driven and Multi-Scale Modeling for Material Flow Simulation: Characteristic Analysis of Modeling Methods","authors":"Satoshi Nagahara, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo","doi":"10.1080/08839514.2024.2367840","DOIUrl":"https://doi.org/10.1080/08839514.2024.2367840","url":null,"abstract":"Material flow simulation is a powerful tool to realize efficient operations in complicated production systems such as high-mix and low-volume production. Nevertheless, great effort and expertise ar...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"60 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141527165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment 在山区环境中使用利维鹈鹕优化算法进行无人机路径规划
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-06-16 DOI: 10.1080/08839514.2024.2368343
Guiliang Zhou, Shuaiqi Lü, Lina Mao, Kaiwen Xu, Tianwen Bao, Xu Bao
{"title":"Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment","authors":"Guiliang Zhou, Shuaiqi Lü, Lina Mao, Kaiwen Xu, Tianwen Bao, Xu Bao","doi":"10.1080/08839514.2024.2368343","DOIUrl":"https://doi.org/10.1080/08839514.2024.2368343","url":null,"abstract":"To overcome the issues of simple strategy and easy fall into local optimum when solving UAV 3D path planning problem, we propose an improved Levy Pelican Optimization Algorithm (LPOA) that incorpor...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"33 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141504020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN) 使用条件生成对抗网络生成船舶航迹特征
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-31 DOI: 10.1080/08839514.2024.2360283
Jessica N.A Campbell, Martha Dais Ferreira, Anthony W. Isenor
{"title":"Generation of Vessel Track Characteristics Using a Conditional Generative Adversarial Network (CGAN)","authors":"Jessica N.A Campbell, Martha Dais Ferreira, Anthony W. Isenor","doi":"10.1080/08839514.2024.2360283","DOIUrl":"https://doi.org/10.1080/08839514.2024.2360283","url":null,"abstract":"Machine learning (ML) models often require large volumes of data to learn a given task. However, access and existence of training data can be difficult to acquire due to privacy laws and availabili...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"7 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141527166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statement of Retraction 撤回声明
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-30 DOI: 10.1080/08839514.2024.2357925
{"title":"Statement of Retraction","authors":"","doi":"10.1080/08839514.2024.2357925","DOIUrl":"https://doi.org/10.1080/08839514.2024.2357925","url":null,"abstract":"Published in Applied Artificial Intelligence: An International Journal (Vol. 38, No. 1, 2024)","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"143 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141527167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction 用于在线借贷信用风险预测的混合机器学习算法的性能评估
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-25 DOI: 10.1080/08839514.2024.2358661
Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid
{"title":"Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction","authors":"Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid","doi":"10.1080/08839514.2024.2358661","DOIUrl":"https://doi.org/10.1080/08839514.2024.2358661","url":null,"abstract":"Peer-to-Peer systems are still in the early stages of development when it comes to the processing of credit and the appraisal of the risk associated with it. In this study, we used a hybrid convolu...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"25 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141172334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Entropy-based deep neural network training optimization for optical coherence tomography imaging 基于熵的光学相干断层成像深度神经网络训练优化
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-24 DOI: 10.1080/08839514.2024.2355760
Karri Karthik, Manjunatha Mahadevappa
{"title":"Entropy-based deep neural network training optimization for optical coherence tomography imaging","authors":"Karri Karthik, Manjunatha Mahadevappa","doi":"10.1080/08839514.2024.2355760","DOIUrl":"https://doi.org/10.1080/08839514.2024.2355760","url":null,"abstract":"This paper presents an optimization technique for the number of training epochs needed for deep learning models. The proposed method eliminates the need for separate validation data and significant...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"66 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141172422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment 应用猎豹算法优化雾计算环境中的资源分配
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-14 DOI: 10.1080/08839514.2024.2349982
Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi
{"title":"Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment","authors":"Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi","doi":"10.1080/08839514.2024.2349982","DOIUrl":"https://doi.org/10.1080/08839514.2024.2349982","url":null,"abstract":"This study investigates the application of heuristic and meta-heuristic algorithms to address resource allocation challenges in Internet of Things (IoT) applications within fog computing environmen...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"7 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Human-In-One-Loop Active Domain Adaptation Framework for Digit Recognition 用于数字识别的人一环主动域适应框架
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-11 DOI: 10.1080/08839514.2024.2349410
Hao Xiu, Guanchen Li, Jie He, Xiaotong Zhang, Yue Qi
{"title":"A Human-In-One-Loop Active Domain Adaptation Framework for Digit Recognition","authors":"Hao Xiu, Guanchen Li, Jie He, Xiaotong Zhang, Yue Qi","doi":"10.1080/08839514.2024.2349410","DOIUrl":"https://doi.org/10.1080/08839514.2024.2349410","url":null,"abstract":"Domain adaptation can effectively enhance a model’s performance on target domain data with limited data. However, when some target domain labels are obtainable, training the model with both source ...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"36 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140940942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Evaluation Method of Dental Treatment Quality Combined with Deep Learning and Multi-index Decomposition 结合深度学习和多指标分解的牙科治疗质量评估方法
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-07 DOI: 10.1080/08839514.2024.2351714
Gang Peng, Jie Liu, Feng Yan, Beicun Liu
{"title":"An Evaluation Method of Dental Treatment Quality Combined with Deep Learning and Multi-index Decomposition","authors":"Gang Peng, Jie Liu, Feng Yan, Beicun Liu","doi":"10.1080/08839514.2024.2351714","DOIUrl":"https://doi.org/10.1080/08839514.2024.2351714","url":null,"abstract":"Dentists judge that the quality of dental treatment for each patient is very time-consuming and inefficient, lacks quantitative evaluation criteria, and is easy to cause errors. At the same time, t...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"27 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Deep Learning Model with Axial Attention for Radar Echo Extrapolation 用于雷达回波推断的轴向关注深度学习模型
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2024-05-03 DOI: 10.1080/08839514.2024.2311003
Yu-Mei Xie, Ying-Liang Zhao, Shu-Yan Huang
{"title":"A Deep Learning Model with Axial Attention for Radar Echo Extrapolation","authors":"Yu-Mei Xie, Ying-Liang Zhao, Shu-Yan Huang","doi":"10.1080/08839514.2024.2311003","DOIUrl":"https://doi.org/10.1080/08839514.2024.2311003","url":null,"abstract":"Radar echo extrapolation is an important approach in precipitation nowcasting which utilizes historical radar echo images to predict future echo images. In this paper, we introduce the self-attenti...","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"67 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140941004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信