The Application of Artificial Intelligent Algorithms in Electric Propulsion by Tian Bin, An Bingchen, Xie Kan, Yang Sulan

“…These studies not only demonstrate the great potential of artificial intelligence algorithms in enhancing the performance of electric propulsion systems, optimizing design, and reducing computational costs, but also provide new directions for the future development of electric propulsion technologies.…”
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A new intelligent control strategy for CSTH temperature regulation based on the starfish optimization algorithm by Davut Izci, Serdar Ekinci, Mostafa Jabari, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Ali Riza Yildiz, Seyedali Mirjalili

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An intelligent algorithm for optimizing player positioning using circular intuitionistic fuzzy COCOSO with Einstein aggregation by ZhiXin Fang, XinLi Yao, Man Song

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Network function virtualization fault analysis and processing method based on improved intelligent optimization algorithm by Zhiming WANG, Bing CHEN

“…Network function virtualization has become an important trend in the global development of telecommunications industry，with the rapid development of network function virtualization and rapid growth of the telecommunications business，analysis and processing of data is too large to deal with，its problems such as low efficiency of fault analysis and processing have become increasingly prominent.For the increasingly urgent development needs of network function virtualization，fault analysis and processing method based on improved intelligent optimization algorithm is important for the rapid and sustainable development of network function virtualization.Based on the research of the convention mechanism of fault analysis and processing for network function virtualization，a method of fault analysis and processing for network function virtualization based on improved intelligent optimization algorithm was presented，it could solve the existing problems of fault analysis and processing for network function virtualization better.…”
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An Aerodynamic Load Correction Method for HFFB Technique Based on Signal Decoupling and an Intelligent Optimization Algorithm by Chengzhu Xie, An Xu, Ruohong Zhao

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Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…Swarm intelligence (SI) optimization motivated by behavior of community-based organisms of flocks of birds, schools of fish, colonies of ants and bees performs the search through agents whose trajectories are primarily adjusted stochastically and sporadically deterministically, by golden rules drawn from Mother Nature. …”
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Optimizing pyrolysis and Co-Pyrolysis of plastic and biomass using Artificial Intelligence by Manish Sharma Timilsina, Yuvraj Chaudhary, Prikshya Bhattarai, Bibek Uprety, Dilip Khatiwada

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Optimization of biological activities of Agaricus species: an artificial intelligence-assisted approach by Ayşenur Gürgen, Mustafa Sevindik

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Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

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Energy optimization in intelligent sensor networks: application of particle swarm optimization algorithm in the deployment of electronic information sensing nodes by Wang Liang

“…This research presents a Particle Swarm Optimization (PSO) algorithm to optimize the deployment of electronic information sensing nodes. …”
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Optimal design of 10‐bit single‐slope ADC for CMOS image sensor based on swarm intelligent optimization algorithm by Yan‐Hua Ma, Ji‐Tong Li, Ming Zhu, Yu‐Chun Chang

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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

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Intelligent recommendation algorithm for social networks based on improving a generalized regression neural network by Gongcai Wu

“…In this study, the social network model was used for modeling, and the recommendation model was improved based on variational modal decomposition and the whale optimization algorithm. The generalized regression neural network structure and joint probability density function were used for sequencing and optimization, and then the genetic bat population optimization algorithm was used to solve the proposed algorithm. …”
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Using Artificial Intelligence Techniques for Image Compression by Baydaa Khaleel

“…Traditional clustering algorithm k-means and AITs were used, such as Gath-Geva fuzzy clustering algorithm, and Particle Swarm Optimization Technique(PSO), and combined Gath-Geva with backpropagation neural network to produce a new method which is called Fuzzy BackPropagation Network (FBPN) algorithm, by applying these methods on gray level and color images and then applying compression algorithm RLE on it to obtain compressed image. …”
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An intelligent algorithm for identifying dropped blocks in wellbores by Qian Wang, Zixuan Yang, Chenxi Ye, Wenbao Zhai, Xiao Feng

“…An optimal machine learning algorithm was developed by training it with 10 machine learning algorithms and the block data collected in the field. …”
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Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

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Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms by Xin Dai, Jianping Chen, Tianren Zhang, Chenli Xue

“…This study proposes an integrated landslide risk assessment via a landslide susceptibility model based on intelligent optimization algorithms. By simulating the process of rime frost formation, it effectively selects features and assigns weights, overcoming the overfitting issue faced by XGBoost in handling high-dimensional features. …”
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Crocodile optimization algorithm for solving real-world optimization problems by Fu Yan, Jin Zhang, Jianqiang Yang

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Bio-inspired swarm intelligence for enhanced real-time aerial tracking: integrating whale optimization and grey wolf optimizer algorithms by GaoFeng Han

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Editorial: Neural inspired computational intelligence and its applications by Ying Tan, Yuhui Shi, Yan Pei

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