RETRACTED: Fault Diagnosis of Traction Transformer Based on Bayesian Network by Yong Xiao, Weiguo Pan, Xiaomin Guo, Sheng Bi, Ding Feng, Sheng Lin

“…By combining the association rules algorithm and the experience of the field operators, the cause–effect relationship of test data and the conditional probability parameters of the network are obtained. …”
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Detecting and Visualizing the Communities of Innovation in Beijing-Tianjin-Hebei Urban Agglomeration Based on the Patent Cooperation Network by Fang Zhou, Bo Zhang

“…Some communities of innovation showed significant industry characteristics, mainly involving six industry fields that are electric power, construction, petroleum, metallurgy and materials, municipal transportation, and railway. …”
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Design and Experiment of a Single-Disk Silage Corn Harvester by Wenxuan Wang, Wei Sun, Hui Li, Xiaokang Li, Yongwei Yuan

“…The ternary quadratic regression prediction model was constructed by using Isight 5.6 software, and the accuracy of the model was verified by variance analysis and field experiments. …”
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Passive sonar with cylindrical array by J. Marszal, W. Leśniak, R. Salamon, A. Jedel, K. Zachariasz

“…It is demonstrated that detecting a sound source and determining its bearings may be carried out with no changes in the construction of the receiver. Changing signal processing algorithms in the beamformer is all that is required. …”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…The research is based on the consumer reviews of online cell phone e-commerce, The paper constructs a sentiment dictionary in this field based on the Sentiment Oriented Point Mutual Information (SO-PMI) algorithm, and the sentiment weight of the review word vectors. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Subsequently, LF-NMR features and image morphological data were integrated to construct a classification model and the SVM hyperparameters were optimized using an improved differential evolution algorithm, achieving a final classification accuracy of 96.36%, which demonstrated strong robustness and precision. …”
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Color image encryption method based on four-dimensional multi-scroll multi-wing hyperchaotic system and DNA mutation mechanism by Qi Peng, Kun Zhang, Bing Zheng, Hao Ning, Yu Zhou, Xin Xie

“…To enhance the practicality and security of chaotic systems in the field of image encryption, this paper proposes a novel four-dimensional multi-scroll multi-wing hyperchaotic system and a corresponding color image encryption algorithm incorporating a DNA mutation mechanism. …”
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Lightweight tea bud detection method based on improved YOLOv5 by Kun Zhang, Bohan Yuan, Jingying Cui, Yuyang Liu, Long Zhao, Hua Zhao, Shuangchen Chen

“…The following methods are used to make improvements: the backbone network CSPDarknet-53 of YOLOv5 is replaced with the EfficientNetV2 feature extraction network to reduce the number of parameters and floating-point operations of the model; the neck network of YOLOv5, the Ghost module is introduced to construct the ghost convolution and C3ghost module to further reduce the number of parameters and floating-point operations of the model; replacing the upsampling module of the neck network with the CARAFE upsampling module can aggregate the contextual tea bud feature information within a larger sensory field and improve the mean average precision of the model in detecting tea buds. …”
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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…First, based on the YOLOv7-Tiny network, the MAFPN neck structure is used to replace the ELAN structure to achieve the multi-scale capture of semantic information of underwater sea treasures, and to enhance the UPA-YOLO model to accurately locate the targets of underwater sea treasures; second, the P2ELAN module is constructed and added to the backbone network, which makes use of the redundancy information in the feature map and dynamically adjusts the convolution kernel to adapt to data The P2ELAN module is added to the backbone network, using the redundant information in the feature map, dynamically adjusting the convolutional kernel to adapt to the lack of data, reducing the number of parameters in the model, and introducing the MSCA attention mechanism to inhibit the complex and changeable background features underwater, to improve the semantic feature extraction ability of the UPA-YOLO model for underwater targets, adding the MPDiou loss function to the improved algorithm model and completing the data validation of the detection model; finally, based on the TensorRT acceleration framework, the optimisation of the target detection Finally, based on the TensorRT acceleration framework, the target detection model is optimised, and the Jetson Nano edge device is used to complete the localisation deployment and realise the real-time target detection task of underwater sea treasures. …”
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Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…Subsequently, it provides an in-depth analysis of data-driven fault diagnosis techniques in industrial applications, with particular emphasis on the pivotal role of deep learning algorithms in fault diagnosis. Next, it discusses the applications and development of large models in the field of fault diagnosis, focusing on their potential to enhance diagnostic intelligence and generalization under big data environments. …”
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Predicting Subcontractor Performance Using Web-Based Evolutionary Fuzzy Neural Networks by Chien-Ho Ko

“…EFNNs are a fusion of Genetic Algorithms (GAs), Fuzzy Logic (FL), and Neural Networks (NNs). …”
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Application of Artificial Intelligence Large Language Model in Power Equipment Operation and Maintenance by Xiaohong Chen, Wenrun Fu, Chaoming Liu, Zehong Liu, Junpeng Li, Zhiliang Hu, Dongbin Hu

“…Finally, this study explores the future directions for multimodal AI-LLM in the field of power equipment operation and maintenance and provides a series of implementation safeguards to promote the intelligent transformation of power equipment operation and maintenance and support the construction of new power systems.…”
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A Research Review of Order Allocation in Robotic Mobile Fulfillment Systems by LIU Zhaokai, MOU Jinrui, JIANG Ruyi, WANG Lin

“…Next, to further elucidate related solution methods, this paper introduces research progress in order allocation and multi-robot task scheduling from various perspectives, such as classical optimization methods, heuristic and meta-heuristic algorithms, rule-based strategies, simulation optimization algorithms, as well as artificial intelligence and machine learning techniques. …”
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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

“…This paper incorporates a threshold-accepting algorithm in the construction of GGLP sets and adopts Frobenius distance as the space-filling criterion for large-sized cases. …”
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Static stress triggering of Morocco M 6.9 earthquake on 9 September 2023 by WANG Runyan, WAN Yongkui, GUAN Zhaoxuan, HUANG Shaohua, GU Peiyuan, SONG Zeyao, ZHOU Mingyue

“…Under the homogeneous elastic half-space theoretical model, the co-seismic displacement field and areal strain field of the region were constructed. …”
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Are impermeable curtains necessary for a groundwater contaminant remediation project? by Ming Guo, Yun Yang, Qian-kun Luo, Ying-chun Li, Hai-chun Ma, Jia-zhong Qian

“…Both a two-dimensional (2-D) hypothetical example and a three-dimensional (3-D) field example were used to assess the necessity of constructing impermeable curtains. …”
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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

“…To solve these problems, this paper combines ResNeXt with the Efficient Channel Attention (ECA) module and the Contextual Transformer (COT) block to construct a model to assess network conditions. The optimal hyperparameters of the model are selected by the Harris Hawks Optimization (HHO) algorithm. …”
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Numerical Study on Energy-saving Optimal Control of Rotary Desiccant Wheel System by Zhang Nan, Yao ye, Jia Dongxin

“…Rotary desiccant wheels have gradually become mainstream in the field of air dehumidification owing to their compact structure, high efficiency, and continuous dehumidification and regeneration processes. …”
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GRAVITY ANOMALIES OF THE CRUST AND UPPER MANTLE FOR CENTRAL AND SOUTH ASIA by V. N. Senachin, A. A. Baranov

“…Algorithms for calculating the gravity field from bodies bounded by spherical surfaces are proposed in [e.g. …”
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Study on the interaction characteristics between pot seedling and planter based on hanging cup transplanter by Hongbin Bai, Fandi Zeng, Qiang Su, Ji Cui, Xuying Li

“…Furthermore, based on Artificial Neural Network technology and incorporating BP and GA-BP algorithms, a nonlinear model of the interaction between pot seedlings and the planting device under various parameter conditions was established using simulated field planting test results as the dataset. …”
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