Detecting Long-Term Spatiotemporal Dynamics of Urban Green Spaces with Training Sample Migration Method by Mengyao Wang, Pan Li, Chunyu Wang, Wei Chen, Zhongen Niu, Na Zeng, Xingxing Han, Xinchao Sun

“…In this study, we introduce an automatic training sample migration method based on visually interpreted reference data and long-term Landsat imagery, implemented on the Google Earth Engine (GEE) platform, to produce annual UGSs maps for Tianjin from 1984 to 2022. …”
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Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

“…The results showed that: (1) The best visual effect of GF-2 fusion image was the Pansharp fusion image; The quantitative evaluation results showed that the brightness and information retention of Gram-Schmidt fusion image was the best，while the Pansharp fusion image had the highest correlation with the original multi-spectral image; the NNDiffuse fusion image had the highest clarity, and the PCA fusion image quantitative evaluation effect was the worst; (2) According to the applicability analysis of the fusion images based on different classification algorithms with features information extraction, it could be seen that the NNDiffuse fusion method was used for the fusion of GF-2 image data, and the classification of the fusion images was more suitable by using KNN or Random Trees classification algorithm.…”
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A novel and alternative treatment method for moderate diabetic foot ulcer: tibial periosteal distraction by Yusong Yuan, Xiaofang Ding, Hao Lu, Ying Chen, Hailin Xu

“…We aimed to describe the method and therapeutic effects of this technique. …”
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Fault Diagnosis Method for Shearer Arm Gear Based on Improved S-Transform and Depthwise Separable Convolution by Haiyang Wu, Hui Zhou, Chang Liu, Gang Cheng, Yusong Pang

“…Moreover, the proposed method achieves high classification accuracy while reducing both training time and the number of model parameters.…”
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THE METHOD OF FORMING A RATIONAL ASPECT OF THE ONBOARD COMPLEX OF RADAR DEFENSE UNMANNED AERIAL VEHICLE by A. B. Guseynov, A. V. Makhovykh

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Application of the MALDI-TOF Mass Spectrometry Method in the Determination of the Causative Agent of Endophthalmitis. Clinical Case by A. V. Lizunov, V. O. Ponomarev, V. N. Kazaykin, S. M. Rozanova, M. V. Kirf, D. G. Hasanova

“…Infectious endophthalmitis (EF) is a serious problem in modern ophthalmology, which can lead to irreversible consequences for the patient’s visual functions. Timely diagnosis and timely treatment are the “key” to the successful resolution of the process. …”
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Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…However, existing pest recognition methods often struggle to distinguish fine-grained visual differences between pest species and are susceptible to background interference from crops and environments. …”
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A Newmark Integral Method in Nonhomogeneous Materials With Parallel Cracks Based on Hyperbolic Heat Conduction by Yanyan Zhang, Tao Zheng, Liangzhong Ao, Shanqiao Huang, Zengtao Chen

“…The second-order differential equation of the strong transient temperature field is discretized in the spatial and temporal domains through the finite element method (FEM) and the Newmark integral method, respectively. …”
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RGB Pixel Combination Method for Underwater Camouflaged Image Categorization Using Graph Neural Networks by K Dhamodharan, Thanapal Pandi

“…This article introduces the Edge-Recognition Method using Graph Neural Networks (ERM-GNN) to address visual differentiations of such particles with precise categorization. …”
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Reliability evaluation method and system for the ventilation door cylinder based on Bayes Monte Carlo simulation by Peiyang Su, Liwen Guo, Jiayong Zhang, Li Ma

“…To address this gap, this study proposes a Weibull life prediction method, integrating Bayesian inference and Monte Carlo simulation, aiming at anticipating changes in cylinder reliability. …”
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Improvement of multi-parameter anomaly detection method: Addition of a relational token between parameters by Hironori Uchida, Keitaro Tominaga, Hideki Itai, Yujie Li, Yoshihisa Nakatoh

“…Since only the parameter portions vary within the same log template structure, these proposed tokens effectively capture the relationships between parameters. Additionally, we visualized the influence of the added tokens and conducted experiments using a new dataset to assess the reliability of our proposed method.…”
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Monitoring and warning system and deformation rate threshold determining method for open-pit mine slopes by Liu HAN, Xiangchen CHEN, Dan WANG, Jisen SHU, GERSON S V Tovele

“…Based on the tangent angle warning criterion, a four level warning threshold for slope deformation rate was proposed using the critical tangent angle tangent value multiple method. Furthermore, the critical tangent angle was determined using the T-value equal division method during the acceleration stage of similar landslides. …”
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Valuation method for sub-indicators of rock burst risk based on mining depth and tectonic stress by Zhen LI, Guanyang WU, Shangjin SI, Xin GAO, Xun LIU, Dongdong ZHANG, Chengxiang ZHANG, Jiachen LIU

“…However, in the calculation of the sub-indicators for the comprehensive index method considering the influence of geostress factor W5, there is no clear basis for determining the normal stress value. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…In this stage, the filtered audio is represented as a graph using the proposed spiral pattern information extraction method. Graph coloring algorithms are applied to convert the graph into a visual representation, which is then input into a specially designed Convolutional Neural Network (CNN) model for classification. …”
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Screening Method to Identify Watermelon Cultivars Resistant to Acidovorax citrulli, the Cause of Bacterial Fruit Blotch by Soo Min Lee, Gahyeon Kim, Hun Kim, Gyung Ja Choi

“…Taken together, we established the following method to determine the resistance of watermelon cultivars against A. citrulli: watermelon seedlings at the fully expanded two-leaf stage can be spray-inoculated with an A. citrulli bacterial suspension at a concentration of 1.0 × 106 cfu/ml; after incubation for 48 h at 28°C in a humidity chamber, the plants were cultivated in a growth chamber at 25°C with 80% relative humidity under a 12-h light/dark cycle; and BFB occurrence on the plants can be investigated at 7 dpi by visual estimation of the diseased leaf area (%). …”
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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

“…Unlike conventional methods, DeepJSCC inherently avoids the cliff effect and maintains stable image quality under harsh channel conditions. …”
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Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

“…In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between cross-sensor images. …”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…The optimal horizontal and vertical steps of water vapor tomography are determined by introducing the principles of maximum grid coverage and the equal amount of layered water vapor. In addition, a two-step variational assimilation method has been developed to address the limitation of existing NWP models without a direct interface for assimilating GNSS water vapor tomographic results. …”
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Unsupervised learning-based panoramic unfolded image stitching method for rock mass borehole wall by XIAO Yu, LI Zehao, WANG Chao

“…The stitching seams exhibited almost no visible artifacts, improving the overall quality and visual effect of the stitched images. The method outperforms other mainstream image stitching approaches in terms of Root Mean Square Error (RMSE), Peak Signal-to-Noise Ratio (PSNR) in overlapping regions, and Structural Similarity (SSIM) index, significantly enhancing the stitching accuracy of panoramic unfolded images of rock mass borehole walls.…”
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Research on Correction Method of pin-by-pin Homogenization Environmental Effect of PWR Based on Machine Learning by LI Tianya1, 2, , LUO Qi3, , YAO Dong2, HE Caiyun1, CHAI Xiaoming2, CAI Yun2, ZHANG Bin2, ZHANG Hongbo2, LIAO Hongkuan1, DUAN Yongqiang1

“…Among the high-fidelity numerical calculation methods in reactor physics, the pin-by-pin two-step method may strike a balance between calculation precision and calculation cost, and is currently a practical and viable high-fidelity numerical calculation method. …”