Research on the Design and Simulation of Missile Intelligent Agent Autopilot Integrated With Deep Reinforcement Learning by Jianqi Wang, Shengtao Long, Su Wang, Kaiyu Zhan

“…This paper proposes an innovative method for missile autopilot design based on the deep deterministic policy gradient (DDPG) algorithm. Under the framework of deep reinforcement learning, by integrating the missile’s dynamic characteristics to optimize the reward function and network structure, an adaptive control model capable of adapting to complex flight conditions was constructed. …”
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A Framework for Constructing Large-Scale Dynamic Datasets for Water Conservancy Image Recognition Using Multi-Role Collaboration and Intelligent Annotation by Xueying Song, Xiaofeng Wang, Ganggang Zuo, Jiancang Xie

“…The construction of large-scale, dynamic datasets for specialized domain models often suffers with problems of low efficiency and poor consistency. …”
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Research on Resource Allocation Method of Integrated Avionics System considering Fault Propagation Risk by Changxiao Zhao, Wei Zhang, Fangzheng Dong, Jun Dai, Lei Dong

“…The resource allocation method is evaluated according to the fault propagation risk model, and a heuristic algorithm is applied to optimize the resource allocation method of the IMA system. …”
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New approach to strongly coupled N $$ \mathcal{N} $$ = 4 SYM via integrability by Simon Ekhammar, Nikolay Gromov, Paul Ryan

“…We demonstrate how to use this approach to construct a new numerical algorithm that remains stable even at a ’t Hooft coupling as large as 106 (or g ~ 100). …”
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Construction and validation of a nomogram for predicting 3-month outcome in elderly patients with nonvalvular atrial fibrillation-induced acute ischemic stroke by Yang Yang, Xiaohong Zhang

“…Ultimately, a nomogram was constructed to forecast the 3-month outcomes for this demographic.ResultsA total of 178 patients were included, of whom 95 (53.3%) had a poor outcome (mRS > 2). …”
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Quantum Circuit Implementation and Resource Analysis for Triple Data Encryption Standard (DES) (Triple-DES) by Gyeongju Song, Seyoung Yoon, Hwajeong Seo

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Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis Diagnosis by He Q, Liu L, Hu X, Lin L, Song Z, Xia Y, Lin Q, Wei J, Li S

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Tsallis Entropy-Based Nonparametric Focusing Algorithm Under Dual-Stage Processing Framework for THz SAR Imaging by Siyu Chen, Yong Wang, Hongzhi Li

“…Here, THz SAR image focusing-oriented dual-stage processing framework and Tsallis entropy-based nonparametric image focusing algorithm are proposed. First, by distinguishing fundamental principles from specific application and implementation particulars, the proposed framework integrates the model constructed by multiple THz SAR image defocusing factors and the dual-strategy THz SAR image focusing algorithm driven by different defocusing factors. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…Subsequently, Spearman correlation analysis was utilized to select the combination of canopy coverage and environmental data, followed by the random forest feature importance ranking method to identify the most optimal feature variables. We constructed average fusion, weighted fusion, and stacking fusion models based on RandomForest, LightGBM, and CatBoost machine learning algorithms to accurately predict the water requirements of greenhouse tomato crops. …”
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Research on Infrared Small Target Detection Algorithm Based on Foreground Moving Target and Deep Learning for Space Detection by Dan Shan, Xiaofeng Wang, Duk Kyung Kim, Ziyuan Yang, Shaohua Lang, Dadi Cai, Weidong Wang, Xiang Gao

“…To verify the effectiveness of the algorithm, an infrared image dataset was constructed, and the experimental results demonstrate that the designed algorithm can effectively achieve intelligent detection of infrared small targets from kilometers away. …”
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A Laser-Based SLAM Algorithm of the Unmanned Surface Vehicle for Accurate Localization and Mapping in an Inland Waterway Scenario by Yang Wang, Chao Liu, Jiahe Liu, Jinzhe Wang, Jianbin Liu, Kai Zheng, Rencheng Zheng

“…Subsequently, a generalized iterative closest point (GICP) algorithm incorporating rejection sampling is integrated to enhance the accuracy of point cloud matching, involving a two-phase filtering process to select key feature points for matching. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

“…To address this issue, this study introduces a novel hybrid method for predicting concrete compressive strength by integrating multiple soft computing algorithms and the stacking ensemble learning strategy. …”
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A Fault Detection Method for Multi-Sensor Data of Spring Circuit Breakers Based on the RF-Adaboost Algorithm by Chuang Wang, Peijie Cong, Sifan Yu, Jing Yuan, Nian Lv, Yu Ling, Zheng Peng, Haoyan Zhang, Hongwei Mei

“…This paper proposes a multi-sensor data fusion fault detection method based on the RF-Adaboost algorithm for spring-operated circuit breakers. By integrating pressure, speed, coil current, and energy storage motor sensors into the mechanism, multi-source operational data are acquired and processed via denoising and feature extraction techniques. …”
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Comparative Analysis of Artificial Neural Networks and Evolutionary Algorithms in DEA-<i>β</i>-MSV Portfolio Optimization by Abdelouahed Hamdi, Arezou Karimi, Farshid Mehrdoust, Samir Brahim Belhaouari

“…The goal is to construct portfolios that achieve targeted returns while minimizing downside risk. …”
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Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration by Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni

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Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm by Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, Zhuo Li, Yifei Ge, Yifan Xu, Zhe Qiu, Yang Tian, Zhongkui Wang, Ren Xu, Lin Meng

“…Furthermore, a progressive evolutionary algorithm (PEA) is proposed by integrating the DL model to construct a DL‐PEA framework. …”
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An Action Evaluation Method for Virtual Reality Simulation Power Training Based on an Improved Dynamic Time Warping Algorithm by Qingjie Xu, Yong Liu, Shuo Li

“…To address the shortcomings in action evaluation within VR simulation power training, this paper introduces a novel action recognition and evaluation method based on dynamic recognition of finger keypoints combined with an improved Dynamic Time Warping (DTW) algorithm. By constructing an action recognition model centered on hand keypoints, the proposed method integrates distance similarity and cosine similarity to account comprehensively for both numerical differences and directional consistency of action features. …”
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Leveraging genetic algorithms and neural networks for stiffness and weight optimisation of an unmanned aerial vehicle (UAV) support arm by Iuri H. Müller, José Humberto S. Almeida Jr, Sandro C. Amico, Maikson L.P. Tonatto

“…This study proposes a multi-objective optimisation approach that integrates the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) with an Artificial Neural Network (ANN) to optimise the design of a UAV support arm. …”
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Research on prediction algorithm of college students' academic performance based on Bert-GCN multi-modal data fusion by Yan Wu

“…In this study, the BERT model was used to mine deep features from text data such as course notes and assignment feedback, and then the Graph Convolutional Network (GCN) was used to integrate students' social network information and learning behavior data to construct a multimodal fusion model. …”
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A sampling-based winner determination model and algorithm for logistics service procurement auctions under double uncertainty by Mingqiang Yin, Hao Wang, Qiang Liu, Xiaohu Qian, He Zhang, Xianming Lang

“…With the objective of minimizing total cost, a new two-stage stochastic winner determination model under double uncertainty is constructed, which is further transformed into mixed-integer linear programming model by using an improved sample average approximation algorithm based on the chi-square test and the Latin hypercube sampling method. …”
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