Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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A PSO-XGBoost Model for Predicting the Compressive Strength of Cement–Soil Mixing Pile Considering Field Environment Simulation by Jiagui Xiong, Yangqing Gong, Xianghua Liu, Yan Li, Liangjie Chen, Cheng Liao, Chaochao Zhang

“…Cement–Soil Mixing (CSM) Pile is an important technology for soft ground reinforcement, and its as-formed compressive strength directly affects engineering design and construction quality. To address the significant discrepancy between laboratory-tested strength and field as-formed strength arising from differing environmental conditions, this study conducted modified laboratory experiments simulating key field formation characteristics. …”
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Collaborative Speed Planning Algorithm with Centralized Decision-Making for Virtual Coupling of Autonomous-Rail Rapid Tram by HUANG Qiang, LI Cheng, TANG Xiang, YUAN Xiwen, HE Chuan, HUANG Zhikun

“…A collaborative speed planning algorithm with centralized decision-making was proposed for the virtual coupling of autonomous-rail rapid trams, targeting the core requirements for group operation: safety, comfort, punctuality, and efficient operation at platforms. …”
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Research on Enhanced Belief Propagation List Decoding Algorithm for Polar Codes in UAV Communications for 6G by Chuanji Zhu, Yuanzhi He, Zheng Dou

“…Polar codes, due to their theoretically achievable Shannon limit performance, have potential applications in UAV communication systems. Constructing reliable polar decoding schemes is currently a research hotspot in the field of communications. …”
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A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid by Yuqi Li, Zijian Wang, Han Zhang, Xinpeng Yao, Zhou Zhou, Xin Cheng

“…Second, to prevent information loss during the downsampling process, a cross‐stage atrous spatial pyramid (ASPPFCSPC) is constructed using atrous convolution. This method combines feature map information from various scales and expands the receptive field. …”
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An efficient attribute-based encryption scheme based on SM9 encryption algorithm for dispatching and control cloud by Honghan Ji, Hongjie Zhang, Lisong Shao, Debiao He, Min Luo

“…SM9 is a kind of Chinese official standard in the field of cryptography, which contains the SM9 encryption algorithm (SM9-IBE). …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…Machine Learning ML algorithms are constructed by a set of hyperparameters. …”
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Development of Decline Curve Analysis Parameters for Tight Oil Wells Using a Machine Learning Algorithm by Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

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Behavioral Modeling of SiC MOSFET Static and Dynamic Characteristics Based on Particle Swarm Optimization Algorithm by Zhibo Zhu, Yang Zhao, Wei Yan

“…Silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs) have been widely applied in electronic equipment, owing to the rapidly switching speed and superior thermal performance. …”
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Prioritization of candidate cancer drugs based on a drug functional similarity network constructed by integrating pathway activities and drug activities by Jieyi Di, Baotong Zheng, Qingfei Kong, Ying Jiang, Siyao Liu, Yang Yang, Xudong Han, Yuqi Sheng, Yunpeng Zhang, Liang Cheng, Junwei Han

“…Herein, we present a powerful computational approach, termed prioritization of candidate drugs (PriorCD), for the prioritization of candidate cancer drugs based on a global network propagation algorithm and a drug–drug functional similarity network constructed by integrating pathway activity profiles and drug activity profiles. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

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An Iterative Algorithm for the Least Squares Generalized Reflexive Solutions of the Matrix Equations 𝐴𝑋𝐵=𝐸,𝐶𝑋𝐷=𝐹 by Feng Yin, Guang-Xin Huang

“…In this paper, an iterative algorithm is constructed to solve the minimum Frobenius norm residual problem: ‖𝐴𝑋𝐵𝐶𝑋𝐷−𝐸𝐹‖= min over generalized reflexive matrix 𝑋. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…Optimization of acoustic metamaterial structures and prediction of acoustic absorption properties have received much attention in various fields. This thesis aims to optimize and predict the acoustic absorption performance of quasi-Helmholtz acoustic metamaterials by using LightGBM algorithm in machine learning. …”
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints by Yong Yang, Yujie Fu, Runpeng Xin, Weiqi Feng, Kaijun Xu

“…In the lower layer path planning stage, considering the limitations of the whale optimization algorithm (WOA), such as slow convergence, low precision, and susceptibility to local optima, this study integrates a backward learning mechanism, nonlinear convergence factor, random number generation strategy, and genetic algorithm principle to construct an improved IWOA. …”
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Optimal Lower Step Height of Tunnel Excavation Designs by Using the Non-Dominated Sorting Genetic Algorithm-II by Shaoqing Niu, Jinwen Wu, Jinchang Zhao, Junjie Pei

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Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…Abstract In this work, the results of instrumentation over 8 years, including the phases of construction, first impounding, and operation, have been used to analyze the location of the Eyvashan Dam settlement. …”
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Filter-Assisted Self-Coherent Detection Field Recovery Scheme for Dual-Polarization Complex-Valued Double-Sideband Signals by Jiahao Huo, Li Han, Peng Qin, Jianlong Tao, Haolin Bai, Xiaoying Zhang

“…In this paper, we have proposed a filter-assisted self-coherent detection (FASCD) scheme that reconstructs the optical field of a dual-polarization complex-valued double-sideband (DP-CV-DSB) signal. …”
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Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy by Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Ken Hayashi, Yoshinori Mitamura

“…Images from 125 CRVO patients (n=125 images) and 202 non-CRVO normal subjects (n=238 images) were included in this study. Training to construct the DL model using deep convolutional neural network algorithms was provided using ultrawide-field fundus images. …”
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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…These parameters were used to construct a maize yield estimation model applicable at both regional and field scales. …”
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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms by Jun Zhong, Wenjuan Zhang

“…To address this issue, this paper proposes a personalized recommendation algorithm based on Graph Neural Networks (PRAGNN) for teachers’ digital learning models. …”
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