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...
{"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}
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...
{"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}
Pub Date : 2024-05-31DOI: 10.1080/08839514.2024.2360283
Jessica N.A Campbell, Martha Dais Ferreira, Anthony W. Isenor
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...
{"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}
Pub Date : 2024-05-30DOI: 10.1080/08839514.2024.2357925
Published in Applied Artificial Intelligence: An International Journal (Vol. 38, No. 1, 2024)
发表于《应用人工智能》：国际期刊》（第 38 卷第 1 期，2024 年）
{"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}
Pub Date : 2024-05-25DOI: 10.1080/08839514.2024.2358661
Tesfahun Berhane, Tamiru Melese, Abdu Mohammed Seid
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...
{"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}
Pub Date : 2024-05-24DOI: 10.1080/08839514.2024.2355760
Karri Karthik, Manjunatha Mahadevappa
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...
{"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}
Pub Date : 2024-05-14DOI: 10.1080/08839514.2024.2349982
Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi
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...
本研究调查了启发式和元启发式算法在雾计算环境中的应用，以解决物联网（IoT）应用中的资源分配难题。
{"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}
Pub Date : 2024-05-11DOI: 10.1080/08839514.2024.2349410
Hao Xiu, Guanchen Li, Jie He, Xiaotong Zhang, Yue Qi
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 ...
{"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}
Pub Date : 2024-05-07DOI: 10.1080/08839514.2024.2351714
Gang Peng, Jie Liu, Feng Yan, Beicun Liu
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...
{"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}
Pub Date : 2024-05-03DOI: 10.1080/08839514.2024.2311003
Yu-Mei Xie, Ying-Liang Zhao, Shu-Yan Huang
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...
{"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}
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