Prediction of Surface Settlement Induced by Large-Diameter Shield Tunneling Based on Machine-Learning Algorithms by Chao Li, Jinhui Li, Zhongqi Shi, Li Li, Mingxiong Li, Dianqi Jin, Guo Dong

“…Among the three machine-learning algorithms, the LSTM algorithm gives the best accuracy in predicting the maximum surface settlement and can effectively predict the settlement development in different strata.…”
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Solar Spectrum Simulation Algorithms Considering AM0G and AM1.5G by Junjie Yang, Guoyu Zhang, Bin Zhao, Dongpeng Yang, Ke Zhang, Yu Zhang, Jian Zhang, Zhengwei Ren, Jingrui Sun, Lu Wang, Xiaoxu Mo, Taiyang Ren, Dianwu Ren, Zeng Peng, Songzhou Yang, Jiabo Lv

“…To this end, this study introduced a framework for an LED solar spectrum simulation algorithm that considers both AM0G and AM1.5G. This study examined the principle of solar spectrum discretization and reconstruction, established a foundation for analyzing the quality of solar spectrum reconstruction, and developed a non-dominated sorting genetic algorithm II (NSGA-II)-assisted long short-term memory (LSTM)-based solar spectrum simulation strategy. …”
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Technological Culture and Politics: Artificial Intelligence as the New Frontier of Political Communication by Daniele Battista, Emiliana Mangone

“…The aim of this article is to propose a theoretical reflection that allows us to fully understand the implications and potential consequences of the application of AI in the political field without neglecting its social and ethical effects: can such uses really be considered democratic, or do they represent a dangerous trend of using algorithms for manipulative purposes? …”
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AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis by XiWen Xu

“…Recommendations for future research directions are provided, emphasizing the importance of developing more adaptive algorithms, investigating long-term effects, and establishing ethical frameworks for AI in education.…”
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Structural Optimization of Disk Diffusers Based on Radial Basis Functions and Multi-Island Genetic Algorithms by Mengchao Liu, Jianing Fan

“…Based on an optimized Latin hypercube sampling method and incorporating RBF surrogate models, surrogate models relating the structural parameters of disk diffusers to their resistance and range are developed. A multi-island genetic algorithm is then applied to optimize the RBF surrogate models. …”
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Simulating Methylamine Using a Symmetry-Adapted, Qubit Excitation-Based Variational Quantum Eigensolver by Konstantin M. Makushin, Aleksey K. Fedorov

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Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains by Jie Zhang, Junnan He, Shihao Ren, Pei Zhou, Jun Guo, Mingyue Song

“…Abstract In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. …”
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Multiobjective Optimization and Network Routing With Near-Term Quantum Computers by Shao-Hen Chiew, Kilian Poirier, Rajesh Mishra, Ulrike Bornheimer, Ewan Munro, Si Han Foon, Christopher Wanru Chen, Wei Sheng Lim, Chee Wei Nga

“…Network routing optimization with multiobjective performance demands falls into this problem class, and finding good quality solutions at large scales is generally challenging. In this work, we develop a scheme with which near-term quantum computers can be applied to solve multiobjective combinatorial optimization problems. …”
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Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams by Tarek R. Besold, Kai-Uwe Kühnberger, Enric Plaza

“…In this article, we summarise our work towards the development of a computational-level and algorithmic-level account of concept blending, combining approaches from computational analogy-making and case-based reasoning (CBR). …”
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Algorithm of Behaviour of Virtual Avatars During Public Speaking Training in a VR Environment by Karol Jędrasiak, Robert Robert Wolański, Damian Bereska

“…The methodology combined theoretical research and practical implementation, involving a comprehensive review of existing solutions and the development of a sophisticated, integrated algorithm. …”
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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

“…These data demonstrate the significant performance advantages of WFR2S in image recovery and damage detection. The newly developed image recovery algorithm improves the accuracy, availability and stability of damage recognition in garment fabrics. …”
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Optimization algorithm of power system line loss management using big data analytics by Yang Li, Danhong Zhang, Ming Tang

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Autonomous Parking Path Planning Method for Intelligent Vehicles Based on Improved RRT Algorithm by Jian Chen, Rongqi Ma, Cunhao Lu, Yaoji Deng

“…This research provides theoretical support for the development of autonomous parking technology.…”
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Design of Enterprise Economic Information Management System Based on Big Data Integration Algorithm by Xiao Liu

“…Based on the analysis of the current status of enterprise big data application, this paper constructs an enterprise economic informational management system based on big data and also describes in detail the key technologies of enterprise economic informational data management from three aspects: NoSQL-based big data storage management, Hadoop-based economic informational big data informational and economic informational big data analysis, and mining algorithm. Provide theoretical basis and basic technical support for online decision analysis.…”
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The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. by Beibei Ren

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Research on the optimization of mortar mix proportion based on neural network models and genetic algorithm by Chunyu Jiang

“…This paper presents an optimization approach for mortar mix design based on a multi-output neural network model with a multi-head attention mechanism, combined with the genetic algorithm. Firstly, a neural network model based on the multi-head attention mechanism is developed to establish a nonlinear mapping relationship between material proportions and performance. …”
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Risk of AI Algorithmic Discrimination Embedded in Government Data Governance and Its Prevention and Control by PENG Lihui, ZHANG Qiong, LI Tianyi

“…[Purpose/Significance] The purpose of this study is to provide an in-depth analysis of the widespread application of artificial intelligence (AI) technology in the field of government data governance and its far-reaching implications, with a particular focus on the core issue of algorithmic discrimination. With the rapid development of AI technology, it has demonstrated great potential in government decision support, public service optimization, and policy impact prediction, but it has also sparked extensive debate on issues such as algorithmic bias, privacy invasion, and fairness. …”
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SUPPORT OF DECISION-MAKINGFOR THE PROCEDURE OFSELECTION OF THE PERSONNALFOR THE TRAINING ANDDEVELOPMENT by Yaroslav E. Prokushev

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Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…To address these challenges, a self-made SPC defect data set and an enhanced CAAB-YOLOv8n detection algorithm were developed. A CAD module was integrated into the backbone network to improve the model’s ability to detect bar-shaped features. …”
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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

“…Both methods effectively decreased the maximum normal load per unit length and system vibration amplitude, with the improved genetic algorithm yielding superior results. This work offers a key theoretical basis and reference for enhancing load transmission, reducing costs, and mitigating vibration and noise in gear transmission systems.…”
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