Haar wavelet Arctic Puffin optimization method (HWAPOM): Application to logistic models with fractal-fractional Caputo-Fabrizio operator by Najeeb Alam Khan, Sahar Altaf, Nadeem Alam Khan, Muhammad Ayaz

“…The proposed method integrates the Haar wavelet with the Arctic Puffin optimization (APO) algorithm, a meta-heuristic optimization inspired by the foraging behavior of Arctic Puffins. …”
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A crack detection and quantification method using matched filter and photograph reconstruction by Liu Zhen-liang, Zhou An, Ran Xin-ru, Wu Yun-peng, Zhao Wei-gang, Zhang Hao

“…Finally, a 3D model was constructed by integrating the detection results with the image-shooting parameters. …”
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A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection by Siyuan Chen, Zhen Wang, Hao Wang, Shuai Wang, Yang Li, Yang Li, Bing Wang

“…This approach filtered out redundant information, and optimized both computational efficiency and memory usage.ResultsOur algorithm achieved a detection accuracy of 99.45%, outperforming other commonly-used PVC detection algorithms.DiscussionBy integrating MTF and BiFormer, we effectively detected PVCs, facilitating an increased convergence between medicine and deep learning technology. …”
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Transient Voltage Unit Protection Based on Fault Information Fusion by Zhenwei Guo, Ruiqiang Zhao, Haojie Li, Yongyan Jiang

“…This algorithm solved the original problem of 42.2% cross-data, 41.6% false operations, and 8.9% refusal to operate. …”
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A Ship Heading Estimation Method Based on DeepLabV3+ and Contrastive Learning-Optimized Multi-Scale Similarity by Weihao Tao, Yasong Luo, Jijin Tong, Qingtao Xia, Jianjing Qu

“…Based on actual ship dimensional parameters, 3D models are constructed and multi-angle rendered to establish a heading template library. …”
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Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II by Zhichun Fang, Xiuhong Wang, Yuyong Sun, M. A. Adibhashimi

“…NSGA-II enhances the algorithm by employing evolutionary processes to generate various structural designs that adhere to topological constraints. …”
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Prediction of Neoadjuvant Chemoradiotherapy Sensitivity in Patients With Esophageal Squamous Cell Carcinoma Using CT-Based Radiomics Combined With Clinical Features by Xindi Li, Jigang Dong, Baosheng Li, Ouyang Aimei, Yahong Sun, Xia Wu, Wenjuan Liu, Ruobing Li, Zhongyuan Li, Yu Yang

“…To select radiomics features, we used the least absolute shrinkage and selection operator (LASSO) algorithm. A combined model was constructed, integrating the selected clinically relevant parameters with the Rad-Score. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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From image to insight deep learning solutions for accurate identification and object detection of Acorus species slices by Yinghui Liu, Haitao Liu, Linlan Li, Ying Ding

“…Meanwhile, the YOLOv8 algorithm achieved rapid object detection in mixed states of the two, with a detection accuracy of 98.6% and a detection frame rate of 22fps. …”
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Application of Big Data Technology in the EMU Fault Early Warning by WU Zhenyi

“…In order to identify potential fault hazards in the operation of EMU in advance, based on the theory of prognostics health management, this paper constructs a vehicle-ground integrated big data platform by integrating multi-source heterogeneous data of different scenarios of the EMU. …”
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Use of the multigrid methods for heat radiation problem by Naji A. Qatanani

“…Therefore, a geometrical algorithm has been developed to provide an efficient detection of the shadow zones. …”
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Exploring the association between vitamin D levels and dyslipidemia risk: insights from machine learning and generalized additive models by Yin Tianxiu, Zhang Chen, Liu Yuxiang, Zhu Xiaoyue, Hu Jingyao, Guo Haijian, Wang Bei

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Efficient Optimization Design Method for Ultra-Wideband Absorber Utilizing Frequency-Dispersive Paper-Composites by Xin Xiu, Weihao Tu, Kun Tang, Xiaojiao Zhao, Jin Long, Wenjie Feng, Wenquan Che

“…In this method, a characterization model for permittivity is constructed and then integrated with a modified genetic algorithm for further optimization. …”
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Distributed data sinking mechanism based on joint optimization in wireless sensor networks by Tao LIU, Tian-rui LI, Wen-rong TAN, Feng YIN

“…A distributed data sinking mechanism based on joint optimization,abbreviated DDSM,for periodic report wireless sensor networks is proposed,which integrates MAC layer and network layer.In this mechanism,a joint optimization algorithm is provided which connects the routing with the slot allocation.DDSM constructs an appropriate transmission schedule that avoids transmission collisions and choose the optimum routing path that achieves high levels of power conservation.Finally,experiments are performed to evaluate the performance of the proposed mechanism.Simulation results show that DDSM can reduce the energy consumption of nodes and provide longer network lifetime.…”
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Fostering critical thinking in learning outcomes of Kazakhstan initial teacher education by Mariya Kabysheva

“…This study employs computer algorithms to analyze how Kazakhstani educational program developers incorporate critical thinking into learning outcomes. …”
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Natural Scene Text Detection With Multiscale Feature Augmentation and Attention Mechanisms by Guogang Wang, Ruilin Wang, Meiyan Liang, Shen Wei, Xin Zhao, Dan Yang, Zhongjie Wang

“…Compared with the state-of-the-art algorithms, the presented algorithm exhibits a higher F-measure.…”
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Ontological approach to modeling innovation processes on the example of a distributed educational network of the University by D. G. Korneev, M. S. Gasparian, A. A. Mikryukov

“…To solve this task is possible only with the use of innovative methods and tools for the creation of information-educational environment in the formation and processing of learning objects and software services distributed in the educational network and allowing the flexible implementation of the processes of educational and methodological support of educational activities.The aim of the research is to determine the possibilities of using the ontological approach to the construction of innovative automated education management systems, including the construction of individual learning trajectories. …”
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A physical basis for cosmological correlators from cuts by Shounak De, Andrzej Pokraka

“…Abstract Significant progress has been made in our understanding of the analytic structure of FRW wavefunction coefficients, facilitated by the development of efficient algorithms to derive the differential equations they satisfy. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…By installing cameras in cultivation facilities, our algorithm enables automated and real-time monitoring, thereby supporting large-scale factory-based production of the fungus.…”
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Risk prediction and effect evaluation of complicated appendicitis based on XGBoost modeling by Sunmeng Chen, Jianfu Xia, Beibei Xu, Yi Huang, Miaomiao Teng, Juyi Pan

“…Methods Patient data from 773 appendectomies were retrospectively collected, important features were selected using random forests, and the data were divided into training and test sets in a 3:1 ratio. An integrated learning algorithm, Extreme Gradient Boosting (XGBoost), was introduced to predict the risk of CAP and compared with Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (CART) algorithms. …”
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