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Evolutionary Intelligence最新文献

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Prediction method of intelligent building electricity consumption based on deep learning 基于深度学习的智能建筑用电量预测方法
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-31 DOI: 10.1007/s12065-023-00815-5
Pingping Chen, Long Chen
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引用次数: 1
Hybridization of chaos theory and dragonfly algorithm to maximize spatial area coverage of swarm robots 混沌理论与蜻蜓算法相结合实现群体机器人空间区域覆盖最大化
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-28 DOI: 10.1007/s12065-023-00823-5
Ashutosh Kumar Singh, G. Kumar, Guneet Singh Dhillon, H. Taneja
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引用次数: 1
An improved binary particle swarm optimization combing V-shaped and U-shaped transfer function 结合V型和U型传递函数的改进二元粒子群优化
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-21 DOI: 10.1007/s12065-023-00819-1
Yuxiang Chen, Jianhua Liu, Jian-lin Zhu, Zihang Wang
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引用次数: 3
Improved ant colony algorithm in path planning of a single robot and multi-robots with multi-objective 单机器人和多机器人多目标路径规划中的改进蚁群算法
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-19 DOI: 10.1007/s12065-023-00821-7
Xingcheng Pu, Xi Song, Ling Tan, Yi Zhang
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引用次数: 1
Improving navigational parameters and control of autonomous robot using hybrid SOMA–PSO technique 利用混合SOMA–PSO技术改进自主机器人的导航参数和控制
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-17 DOI: 10.1007/s12065-023-00820-8
M. Muni, Pragyan Kumar Pradhan, P. R. Dhal, Saroj Kumar, Rabinarayan Sethi, S. K. Patra
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引用次数: 1
A large-scale global optimization algorithm with a new adaptive computing resource allocation mechanism 一种新的自适应计算资源分配机制的大规模全局优化算法
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-16 DOI: 10.1007/s12065-023-00818-2
Xuefan Bao, Fei Wei, Fei Liang
{"title":"A large-scale global optimization algorithm with a new adaptive computing resource allocation mechanism","authors":"Xuefan Bao, Fei Wei, Fei Liang","doi":"10.1007/s12065-023-00818-2","DOIUrl":"https://doi.org/10.1007/s12065-023-00818-2","url":null,"abstract":"","PeriodicalId":46237,"journal":{"name":"Evolutionary Intelligence","volume":"1 1","pages":"1-7"},"PeriodicalIF":2.6,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48434115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent mobility planning for a cost-effective object follower mobile robotic system with obstacle avoidance using robot vision and deep learning 利用机器人视觉和深度学习实现具有避障功能的高性价比物体跟随移动机器人系统的智能移动规划
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-13 DOI: 10.1007/s12065-023-00817-3
Saideep Gona, C. Harish
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引用次数: 0
Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm 用改进的候鸟优化算法求解非对称TSP的一个新应用
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-12 DOI: 10.1007/s12065-023-00858-8
Tibet Duman, E. Duman
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引用次数: 1
Track and field training state analysis based on acceleration sensor and deep learning 基于加速度传感器和深度学习的田径训练状态分析
IF 2.6 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-07 DOI: 10.1007/s12065-022-00811-1
Yong Zhang
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引用次数: 1
A survey of image encryption for healthcare applications. 医疗保健应用图像加密调查。
IF 2.3 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Evolutionary Intelligence
Pub Date : 2023-01-01 Epub Date: 2022-06-14 DOI: 10.1007/s12065-021-00683-x
Priyanka, Amit Kumar Singh

Recently, medical image encryption has attracted many researchers because of security issues in the communication process. The recent COVID-19 has highlighted the fact that medical images are consistently created and disseminated online, leading to a need for protection from unauthorised utilisation. This paper intends to review the various medical image encryption approaches along with their merits and limitations. It includes a survey, a brief introduction, and the most utilised interesting applications of image encryption. Then, the contributions of reviewed approaches are summarised and compared regarding different technical perspectives. Lastly, we highlight the recent challenges along with several directions of potential research that could fill the gaps in these domains for researchers and developers.

最近，由于通信过程中的安全问题，医学图像加密吸引了许多研究人员。最近的 COVID-19 强调了这样一个事实，即医学图像一直在网上创建和传播，因此需要防止未经授权的使用。本文旨在回顾各种医学图像加密方法及其优点和局限性。它包括一项调查、简要介绍和最常用的有趣的图像加密应用。然后，从不同的技术角度总结和比较了已审查方法的贡献。最后，我们强调了近期面临的挑战以及几个潜在的研究方向，这些方向可以填补研究人员和开发人员在这些领域的空白。
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引用次数: 0
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