Two improved content extraction signature schemes by Min WANG, Jin-hua MA, Jiang-hua LIU, Wei WU

Subjects: Get full text

Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…The whole process automation framework was built by Python script to realize the intelligent processing from parameter reading, automatic generation of 500 groups of INP files to the submission of batch calculations and extraction of ODB results. …”
Get full text

A Fast Multi-Scale of Distributed Batch-Learning Growing Neural Gas for Multi-Camera 3D Environmental Map Building by Chyan Zheng Siow, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota

“…First, a fast multi-scale of distributed batch-learning growing neural gas (Fast MS-DBL-GNG) is proposed as a topological feature extraction method in order to reduce computational costs because a single RGB-D camera may output 1 million data. …”
Get full text

Extraction of Feature Information from Point Cloud of Large Volume Steel Truss Members by Dong Liang, Zeyu Zhang, Bo Guo, Bo Wang, Xiongjue Wang

“…In order to address the issues pertaining to the subjective nature and limited precision associated with selecting feature points in the point cloud of a large steel truss structure, this study proposes a batch automatic extraction approach for identifying key feature information, including boundaries, corner points, and bolt holes of large steel truss components. …”
Get full text

Causal relationship between gout and Alzheimer's disease： a two-sample Mendelian randomization analysis by Kong Chuijia, Zhang Ying, Tan Zhenkun, Ping Junjiao, Zhang Haibo, Zhang Jie, Luo Jiali, Liu Xinxia

“…Previous studies have suggested that gout may reduce the risk of developing AD， but the causal relationship between the two still requires further research.ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization （MR） analysis， so as to provide references for the prevention and treatment of AD.MethodsData from Genome-Wide Association Studies （GWAS） extracted in 2024 were analyzed， using pooled data on gout （6 810 cases in the case group and 477 788 cases in the control group） published by UK Biobank in 2021 as the exposure variable， and data on AD （3 899 cases in the case group and 214 893 cases in the control group） published by FinnGen in the same year as the outcome variable. …”
Get full text

Biphasic effects of Callicarpa nudiflora water extract on rumen fermentation in vitro and microbial communities in sheep by Wanqin Yang, Wanqin Yang, Runhang Li, Wenxi Wang, Kunna Li, Yiying Huang, Ying Ying, Yuning Liu, Hongxin Wu

“…Each treatment was replicated in duplicate across three independent batches, resulting in a total of six biological replicates per treatment. …”
Get full text

The effects of Astragalus, Epimedium, and Fructus Ligustri Lucidi extract on the antioxidant capacity, and immune status of goslings under stress conditions by Qing Qu, Qing Qu, Qing Qu, Yihong Sun, Yihong Sun, Yihong Sun, Yayan Liang, Yayan Liang, Yayan Liang, Yongsheng Nie, Yongsheng Nie, Yongsheng Nie, Yongsheng Nie, Ming Gao, Ming Gao, Ming Gao, Yaohui Yuan, Wei Wang, Wei Wang, Wei Wang, Shuo Zhou, Shuo Zhou, Shuo Zhou

“…Twenty-four 1-month-old Magang geese from the same batch were randomly divided into four groups: control group (C group), AEF treatment group (AEF group), H2O2 stress group (S group), AEF and H2O2 stress group (S + AEF group). …”
Get full text

Enhanced skin cancer diagnosis: a deep feature extraction-based framework for the multi-classification of skin cancer utilizing dermoscopy images by Hadeel Alharbi, Gabriel Avelino Sampedro, Roben A. Juanatas, Se-jung Lim

Get full text

Design and Application of Reliability Calculation Program Based on Secondary Development of ABAQUS by ZOU Hong, WU Jian, XU Zhichun, YANG Li

“…As a kind of finite element analysis software,ABAQUS is widely used in nonlinear simulation field,but there is no universal and mature reliability calculation module.Therefore,it is necessary to establish a general reliability calculation program for Monte Carlo simulation based on finite element model to meet the automation requirements of reliability calculation of various structures in ABAQUS.This paper firstly puts forward the design idea and main functions of reliability calculation program in ABAQUS,including random number generation,model batch building,automatic result extraction and so on;then,develops the pre-processing and post-processing modules of ABAQUS with Python language for modularizing the main functions of the program;finally,introduces the application method of this reliability calculation program in detail taking the reliability calculation process of the finite element model of a simply supported steel truss bridge as an example.This reliability calculation program can effectively improve the degree of automation in the process of structural reliability calculation,and reduce the calculation time,which has great reference value in engineering application.…”
Get full text

Amismart an advanced metering infrastructure for power consumption monitoring and forecasting in smart buildings by Sarah Hadri, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohamed El aroussi, Zaradatcht Taifour, Jaafar Gaber

“…In offline mode, the CNN-LSTM model outperformed all other methods with a sMAPE of 1.01%, demonstrating the advantage of deep feature extraction and complete data availability in batch forecasting. …”
Get full text

A Novel Active Learning Approach for Improving Classification of Unlabeled Video Based on Deep Learning Techniques by Mohamed Salama

“…Specifically, we develop batch mode AL techniques that select useful videos based on uncertainty and diversity sampling. …”
Get full text

Thorium(IV) removal by nano olive pomace and its nano biochar: A comparative study by Akram I. Abu Shawer, Fawwaz I. Khalili, Ehab A. Hamzeh

“…The results showed that these adsorbents can be utilized effectively and affordably to extract Th(IV) ions.…”
Get full text

Data-driven cultural background fusion for environmental art image classification: Technical support of the dual Kernel squeeze and excitation network. by Chenchen Liu, Haoyue Guo

“…On this basis, the Rectified Linear Unit activation function and depthwise convolution are introduced after the second layer convolution, and batch normalization is performed to improve the efficiency and robustness of feature extraction. …”
Get full text

Optimizing Tongue Fluid Sampling and Testing Protocols for Enhanced PRRSV Isolation from Perinatal Swine Mortalities by Onyekachukwu Henry Osemeke, Isadora Machado, Elisa De Conti, Mariah Musskopf, Mafalda Pedro Mil-Homens, Samuel Stutzman, Baoqing Guo, Thomas Petznick, Gustavo De-Sousa-E Silva, Phillip Gauger, Jianqiang Zhang, Daniel C. L. Linhares

“…Tongues were collected in 20 batches (~30 mortalities per batch). Within each batch, each tongue tissue was cut into four quarters, with each quarter randomly assigned to one of the four collection protocols and RT-qPCR tested. …”
Get full text

Hydrophobic modification of naturally magnetic silica with methyltrimethoxysilane for enhanced adsorption of chloramphenicol and ciprofloxacin by Johnson Nune Naat, Suyanta Suyanta, Nuryono Nuryono

“…The thermodynamic study indicated a negative ΔH (exothermic), positive ΔS (increase in randomness), and negative ΔG (spontaneous) for CAP and CIP. …”
Get full text

Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field by Bowen ZHANG, Jian FENG, Bowen WANG, Feiran YANG, Yitong XING

“…After processing the collected data, it is randomly divided into a training dataset (validation dataset), and the remaining data is set as a testing dataset. …”
Get full text