Applied Artificial Intelligence最新文献

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Engineering Responsible And Explainable Models In Human-Agent Collectives 在人类代理集体中设计负责任和可解释的模型
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-12-05 DOI: 10.1080/08839514.2023.2282834
Dhaminda B. Abeywickrama, Sarvapali D. Ramchurn
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引用次数: 0
Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach 高等教育中的人工智能:文献计量分析与主题建模方法
4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-10-18 DOI: 10.1080/08839514.2023.2261730
Vusumuzi Maphosa, Mfowabo Maphosa
{"title":"Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach","authors":"Vusumuzi Maphosa, Mfowabo Maphosa","doi":"10.1080/08839514.2023.2261730","DOIUrl":"https://doi.org/10.1080/08839514.2023.2261730","url":null,"abstract":"Artificial intelligence (AI) has brought unprecedented growth and productivity in every socioeconomic sector. AI adoption in education is transformational through reduced teacher workload, individualized learning, intelligent tutors, profiling and prediction, high-precision education, collaboration, and learner tracking. This paper highlights the trajectory of AI research in higher education (HE) through bibliometric analysis and topic modeling approaches. We used the PRISMA guidelines to select 304 articles published in the Scopus database between 2012 and 2021. VOSviewer was used for visualization and text-mining to identify hotspots in the field. Latent Dirichlet Allocation analysis reveals distinct topics in the dynamic relationship between AI and HE. Only 9.6% of AI research in HE was achieved in the first seven years, with the last three years contributing 90.4%. China, the United States, Russia and the United Kingdom dominated publications. Four themes emerged – data as the catalyst, the development of AI, the adoption of AI in HE and emerging trends and the future of AI in HE. Topic modeling on the abstracts revealed the 10 most frequent topics and the top 30 most salient terms. This research contributes to the literature by synthesizing AI adoption opportunities in HE, topic modeling and future research areas.","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883140","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
Research on Path Optimization Method for Warehouse Inspection Robot 仓库巡检机器人路径优化方法研究
4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-09-14 DOI: 10.1080/08839514.2023.2254048
Jianxian Liu, Hongyuan Liu
{"title":"Research on Path Optimization Method for Warehouse Inspection Robot","authors":"Jianxian Liu, Hongyuan Liu","doi":"10.1080/08839514.2023.2254048","DOIUrl":"https://doi.org/10.1080/08839514.2023.2254048","url":null,"abstract":"With the increasing popularity of intelligence, many enterprises’ warehouse inspection work is completed through robots. However, due to the multiple target points of warehouse inspection, the low efficiency of planning intelligent robot inspection paths is a problem that needs to be solved. In order to solve the above problems, this paper proposes an HPSO-ACO algorithm based on hybrid particle swarm optimization (HPSO) to optimize the parameters of the ant colony optimization (ACO) algorithm, and establishes a path optimization model for intelligent inspection robots in warehouse management. Compared with HPSO algorithm and ACO algorithm, the experimental results show that the proposed method has faster convergence speed, fewer iterations, and shorter optimal path under the same conditions, which provides a theoretical reference for path optimization for inspection robot.","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134912871","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
Research on Automatic Path Planning Method of Warehouse Inspection Robot 仓库巡检机器人自动路径规划方法研究
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-08-30 DOI: 10.1080/08839514.2023.2252262
Hongyuan Liu, Jianxiang Liu
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引用次数: 0
Artificial Intuition for Automated Decision-Making 用于自动决策的人工直觉
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-07-24 DOI: 10.1080/08839514.2023.2230749
M. Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton
{"title":"Artificial Intuition for Automated Decision-Making","authors":"M. Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton","doi":"10.1080/08839514.2023.2230749","DOIUrl":"https://doi.org/10.1080/08839514.2023.2230749","url":null,"abstract":"Automated decision-making techniques play a crucial role in data science, AI, and general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the identification of solutions to problems. More specifically, it can be used to identify, combine and discover knowledge in a “parallel” manner, and therefore more efficiently. As a consequence, the embedding of artificial intuition within data science is likely to provide novel ways to identify and process information. There is extensive research on this topic mainly based on qualitative approaches. However, due to the complexity of this field, limited quantitative models and implementations are available. In this article, the authors have extended the evaluation to include a real-world, multi-disciplinary area in order to provide a more comprehensive assessment. The results demonstrate the value of artificial intuition, when embedded in decision-making and information extraction models and frameworks. In fact, the output produced by the approach discussed in their article was compared with a similar task carried out by a group of experts in the field. This demonstrates comparable results further showing the potential of this framework, as well as artificial intuition as a tool for decision-making and information extraction.","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45536170","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 Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion 基于深度强化学习和多感官信息融合的机器人路径规划方法
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-06-24 DOI: 10.1080/08839514.2023.2224996
Jieren Tan
{"title":"A Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion","authors":"Jieren Tan","doi":"10.1080/08839514.2023.2224996","DOIUrl":"https://doi.org/10.1080/08839514.2023.2224996","url":null,"abstract":"","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46565044","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: 1
Dance Video Motion Recognition Based on Computer Vision and Image Processing 基于计算机视觉和图像处理的舞蹈视频动作识别
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-06-21 DOI: 10.1080/08839514.2023.2226962
Yawen Pang, Yi Niu
{"title":"Dance Video Motion Recognition Based on Computer Vision and Image Processing","authors":"Yawen Pang, Yi Niu","doi":"10.1080/08839514.2023.2226962","DOIUrl":"https://doi.org/10.1080/08839514.2023.2226962","url":null,"abstract":"","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46703909","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: 3
Improved EfficientDet Algorithm for Basketball Players’ Upper Limb Movement Trajectory Recognition 篮球运动员上肢运动轨迹识别的改进高效Det算法
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-06-20 DOI: 10.1080/08839514.2023.2225906
H. Liang
{"title":"Improved EfficientDet Algorithm for Basketball Players’ Upper Limb Movement Trajectory Recognition","authors":"H. Liang","doi":"10.1080/08839514.2023.2225906","DOIUrl":"https://doi.org/10.1080/08839514.2023.2225906","url":null,"abstract":"","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42971742","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: 2
Artificial Intelligence-Driven Interactive Learning Methods for Enhancing Art and Design Education in Higher Institutions 人工智能驱动的交互式学习方法在高校艺术设计教育中的应用
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-06-19 DOI: 10.1080/08839514.2023.2225907
Xiaoxiao Fan, Jiayin Li
{"title":"Artificial Intelligence-Driven Interactive Learning Methods for Enhancing Art and Design Education in Higher Institutions","authors":"Xiaoxiao Fan, Jiayin Li","doi":"10.1080/08839514.2023.2225907","DOIUrl":"https://doi.org/10.1080/08839514.2023.2225907","url":null,"abstract":"","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44555980","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: 2
Management Method Evaluation for Innovation and Entrepreneurship in College with Multi-Scale Feature Convolutional Network 基于多尺度特征卷积网络的高校创新创业管理方法评价
IF 2.8 4区 计算机科学
Applied Artificial Intelligence Pub Date : 2023-06-15 DOI: 10.1080/08839514.2023.2224678
Jin Wang
{"title":"Management Method Evaluation for Innovation and Entrepreneurship in College with Multi-Scale Feature Convolutional Network","authors":"Jin Wang","doi":"10.1080/08839514.2023.2224678","DOIUrl":"https://doi.org/10.1080/08839514.2023.2224678","url":null,"abstract":"","PeriodicalId":8260,"journal":{"name":"Applied Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46810356","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
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