Problem Analysis of Asaoka Method on the Post-construction Settlement Prediction of Soft Ground by ZHOU Yuelei, LIU Zhonghan

“…In view of uncertainty of Asaoka method on the post-construction settlement prediction of soft ground,this paper transforms the measured data at constant time interval through BP neural network with good nonlinear fitting ability,establishes the regression analysis model at different starting points and different time intervals based on Asaoka method,predicts the post-construction settlement by the model and analyze the stability of the predicted value through mathematical methods,as well as comprehensively analyzes the stability of the prediction results with the measured data of a soft foundation treatment project.The analysis results show that:①BP neural network with good nonlinear fitting ability is effectively used in the transformation of the measured data of soft ground;②It is not advisable to judge the reliability of Asaoka method by the correlation coefficient;③The small error of β₁ can cause significant error to the prediction results;④The reliability of prediction results can be increased by expanding time interval.…”
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Simplified method for estimating the first natural frequency of a symmetric arch truss by Kirsanov Mikhail, Luong Cong

“…The results obtained by different analytical methods are compared with the results obtained by the numerical method. …”
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Application of MCDM Methods to Optimal Consensus Protocol Selection for Blockchain-Based IoT Networks by Ruslan Ospanov, Nurlan Tashatov, Dina Satybaldina, Yerzhan Seitkulov, Banu Yergaliyeva, Kuat Utebayev

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Architectural Gaps in Generative AI: Quantifying Cognitive Risks for Safety Applications by He Wen, Pingfan Hu

“…<b>Methods</b>: This study investigates whether architectural design elements in Transformer-based generative models contribute to a measurable divergence from human reasoning. …”
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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…In addition, the model with different training methods were tested for robustness against a black-box Adversarial Attack with a perturbation level of 3/255 according to the L¥ norm. …”
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A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…Experimental results demonstrate that the proposed VMD-NLM-DWT approach achieves a maximum of 1.2 dB improvement in signal-to-noise ratio (SNR), an average 13% reduction in mean squared error (MSE), and 9% lower percent root mean square difference (PRD) compared to leading two-stage denoising methods. …”
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Soil Porosity Detection Method Based on Ultrasound and Multi-Scale Feature Extraction by Hang Xing, Zeyang Zhong, Wenhao Zhang, Yu Jiang, Xinyu Jiang, Xiuli Yang, Weizi Cai, Shuanglong Wu, Long Qi

“…The acquired signals were subjected to three kinds of data augmentation processes to enrich the dataset: adding Gaussian white noise, time shift transformation, and random perturbation. Since the collected ultrasonic signals belong to long-time series data and there are different frequency and sequence features, this study constructs a multi-scale CNN-LSTM deep neural network model using large convolution kernels based on the idea of multi-scale feature extraction, which uses multiple large convolution kernels of different sizes to downsize the collected ultra-long time series data and extract local features in the sequences, and combining the ability of LSTM to capture global and long-term dependent features enhances the feature expression ability of the model. …”
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Research Progress on Synthetic Method of Curdlan Composite and Its Application in Food Industry by Xingyan WANG, Wenmei HU, Wei XU, Yuting LI, Tinghong MA, Shan CHEN

“…Curdlan-based composite materials constructed using different methods are safe, efficient, and multifunctional food additives, rendering them a hot topic in food research. …”
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Analysis of the Impact of Selected Dynamic Parameters of a Motor Vehicle on CO₂ Emissions Using Logistic Regression by Magdalena Rykała, Małgorzata Grzelak, Anna Borucka

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Bitemporal Remote Sensing Change Detection With State-Space Models by Lukun Wang, Qihang Sun, Jiaming Pei, Muhammad Attique Khan, Maryam M. Al Dabel, Yasser D. Al-Otaibi, Ali Kashif Bashir

“…This article investigates the impact of different scanning mechanisms within Mamba, evaluating five mainstream methods to optimize its performance in change detection. …”
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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…Feature descriptors are extracted separately from regions with different distortion levels, and corresponding transformation models are built for local registration. …”
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A robust automated segmentation method for white matter hyperintensity of vascular-origin by Haoying He, Jiu Jiang, Sisi Peng, Chu He, Tianqi Sun, Fan Fan, Hao Song, Dong Sun, Zhipeng Xu, Shenjia Wu, Dongwei Lu, Junjian Zhang

“…Accurate WMH quantification is vital for diagnosis and prognosis, but current automatic segmentation methods often fall short, especially across different datasets. …”
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A Coal Mine Excavation Tunnels Modeling Method Based on Point Clouds by Haoyuan Zhang, Shanjun Mao, Mei Li

“…To address these issues, this paper proposes a point cloud-based excavation tunnel modeling method. First, preprocessing algorithms such as point cloud coordinate transformation, tunnel point cloud extraction, and tunnel point cloud completion are used to filter out equipment point clouds inside the tunnel and repair occluded holes. …”
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FAULT DIAGNOSIS METHOD OF DIESEL ENGINE BASED ON PCA-EDT-CNN (MT) by BAI YunJie, JIA XiSheng, LIANG QingHai, MA YunFei, WEN Liang

“…A diesel engine preset failure test bench was built to verify the effectiveness of the method, and through comparison with traditional methods, the results show that the method has high accuracy in diagnosing different fault states of diesel engines and has practical engineering application value.…”
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Evaluation of participation in the case method: elements to consider for its incorporation in digital environments by Andrés Chiappe, Edinson Oswaldo Delgado Rivas, Sandra Idrovo Carlier, Fabiola Mabel Sáez Delgado

“…The transformation of learning assessment processes has become critical for educational institutions that apply the case method, according to international accrediting agencies. …”
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A Registration Method for Historical Maps Based on Self-Supervised Feature Matching by Zikang Qin, Yumin Feng, Gang Wu, Qing Dong, Tianxin Han

“…Comparing historical map images of the same region from different periods is an effective method for studying urban history and planning. …”
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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…The differences of the method consist in carrying out vector intertransformation zig-zag linearization taking into account the selection of spectral components defined as complementary. …”
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An Improved Test Method for Assaying the Inhibition of Bioflavonoids on Xanthine Oxidase Activity in vitro by Yuanyong Yao, Tao Wu, Meng Zhang, Daihua Fu, Hai Yang, Shixue Chen

“…Abstract The difference on inhibitory effects of bioflavonoids inhibiting XOD activity assayed by varying test methods cause of us to be further in consideration. …”
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Unsignalized intersection vehicle platoon formation scheduling method based on mixed traffic by Junfeng Jiang, Yikang Rui, Bin Ran

“…The results show that MPSM possesses good delay performance and has an advantage over Adaptive Signal Control Method (Adaptive-SIM), FCFS, and DFST algorithms, which can be applied in different traffic environments.…”
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Sensor Fusion Method for Object Detection and Distance Estimation in Assisted Driving Applications by Stefano Favelli, Meng Xie, Andrea Tonoli

“…The open-source pipeline implemented in ROS consists of a sensors’ calibration method, a Yolov7 detector, 3D point cloud downsampling and clustering, and finally a 3D-to-2D transformation between the reference frames. …”
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