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  1. 8121

    Structural Concrete Prepared with Coarse Recycled Concrete Aggregate: From Investigation to Design by Valeria Corinaldesi

    Published 2011-01-01
    “…Moreover, results obtained from experimentation were discussed in order to obtain useful information for RAC structure design, particularly in terms of elastic modulus and drying shrinkage prediction.…”
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  2. 8122

    ESTIMASI HASIL PRODUKSI TBS DI PTPN IV REGIONAL 4 DENGAN METODE INTERPOLASI POLINOM by PUSPA HANAYA LATIFAH ERJANDSA, SYAMSYIDA ROZI

    Published 2024-11-01
    “…The study aimed to provide an accurate prediction model to enhance decision-making and operational efficiency in the palm oil industry. …”
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  3. 8123

    Inception neural network for human activity recognition using wearable sensor by Duo CHAI, Cheng XU, Jie HE, Shao-yang ZHANG, Shi-hong DUAN, Yue QI

    Published 2017-11-01
    “…The experience from computer vision was learned,an innovative neural network model called InnoHAR (inception neural network for human activity recognition) based on the inception neural network and recurrent neural network was put forward,which started from an end-to-end multi-channel sensor waveform data,followed by the 1×1 convolution for better combination of the multi-channel data,and the various scales of convolution to extract the waveform characteristics of different scales,the max-pooling layer to prevent the disturbance of tiny noise causing false positives,combined with the feature of GRU helped to time-sequential modeling,made full use of the characteristics of data classification task.Compared with the state-of-the-art neural network model,the InnoHAR model has a promotion of 3% in the recognition accuracy,which has reached the state-of-the-art on the dataset we used,at the same time it still can guarantee the real-time prediction of low-power embedded platform,also with more space for future exploration.…”
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  4. 8124

    Estimating Probable Maximum Precipitation Based on Synoptic Method in Ghomrood Basin by Faranak Bahrami, Abbas Ranjbar.s.a, Ebrahim Fattahi

    Published 2018-03-01
    “…Also, the data on the 850 and 500 hPa levels were analyzed by the National Center for Environmental Prediction and the National Center for Atmospheric Research (NCEP-NCAR). …”
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  5. 8125

    Machine Learning-based Water Quality Forecasting for Shenzhen Bay by XIONG Jianzhi, XIONG Rui, LU Haiyan, ZHENG Yi

    Published 2024-07-01
    “…The research findings indicate that utilizing high-frequency in-situ water quality monitoring data enables accurate prediction of water quality in Shenzhen Bay within 24 hours. …”
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  6. 8126

    A One-Dimensional Fractional-Derivative Viscoelastic Model for the Aquitard Consolidation of an Aquifer System by Ming-hua Huang, Dun Li

    Published 2019-01-01
    “…In order to analyze the phenomena of land subsidence, this study attempts to constitute a more reliable prediction model to simulate the consolidation process of the aquifer system under the drawdown of groundwater. …”
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  7. 8127

    Forensic of video object removal tamper based on 3D dual-stream network by Lizhi XIONG, Mengqi CAO, Zhangjie FU

    Published 2021-12-01
    “…In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video, a video tamper forensics method based on 3D dual-stream network was proposed.Firstly, the spatial rich model (SRM) layer was used to extract the high-frequency information from video frames.Secondly, the improved 3D convolution (C3D) network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally, through compact bilinear pooling (CBP) layer, two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset, which makes the temporal detection and location of object removal tampered video more accurate.…”
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  8. 8128

    Fatigue Life Analysis of a New Type of Driving Drum by Yu Yuzhen, Wang Fei, Li Wenyu, Wang Kailiang

    Published 2017-01-01
    “…Based on the relative theory of fatigue life prediction,stress life module is used to analyze the fatigue life and fatigue sensitivity of the driving drum. …”
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  9. 8129

    Investigation on the Displacement Ductility Coefficient of Reinforced Concrete Columns Strengthened with Textile-Reinforced Concrete by Boxue Wang, Shiping Yin, Ming Liu

    Published 2021-01-01
    “…Therefore, the model can be applied for predicting the displacement ductility coefficients of TRC-strengthened columns and can be used as a reference for engineering design.…”
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  10. 8130

    Digital Twin BIM Management System of Storage Tanks Based on BIM and UE4 by ZENG Qingda, HU Ting, WANG Huang, WANG Yuanyuan, QIN Jing

    Published 2021-01-01
    “…In order to improve the digitalization and smart water operation and maintenance management of storage tanks,and to achieve the digital and intelligent control,scheduling and management of storage tanks,taking the largest storage tank at the end of Longgang River in Shenzhen as the research object,based on the BIM model with full-professional collaborative forward design,this paper develops the digital twin BIM management system by the BIM software based on the Autodesk platform and the advanced game engine Unreal engine in current industry,with high-fidelity rendering capabilities,close-to-real visualization effects,BIM+GIS available and real-time reading,and interactive communication of various sensor information in the storage tank through secondary development for improving the the real-time interaction and intelligent control of equipment,and based on this,develops functional modules such as rainfall prediction,pedestrian and vehicle traffic,equipment management,and operation management to successfully extend the BIM technology to the operation and maintenance management stage of the storage tank,and give full play to the greater role of BIM,which provide reference for future smart operation and maintenance projects.…”
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  11. 8131

    Dynamic Model Identification for 6-DOF Industrial Robots by Li Ding, Hongtao Wu, Yu Yao, Yuxuan Yang

    Published 2015-01-01
    “…And we validate the dynamical model according to torque prediction accuracy. All the results are presented to demonstrate the efficiency of our proposed identification algorithm and the accuracy of the identified robot model.…”
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  12. 8132

    REEXAMINING THE QUANTITY THEORY OF MONEY: AN EMPIRICAL ANALYSIS FROM THE JOINT HYPOTHESIS by Cheng-Wen Lee, Andrian Dolfriandra Huruta

    Published 2021-05-01
    “…Meanwhile, the joint hypothesis test demonstrated Strong Wald and Weak Wald test for the QTM prediction were rejected. These findings implied undesirable results from a monetarist perspective. …”
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  13. 8133

    Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance by Angela Cesaro, Samuel C. Hoffman, Payel Das, Cesar de la Fuente-Nunez

    Published 2025-01-01
    “…While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules. …”
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  14. 8134

    Light-weighted vehicle detection network based on improved YOLOv3-tiny by Pingshu Ge, Lie Guo, Danni He, Liang Huang

    Published 2022-03-01
    “…The K -means algorithm was used to cluster nine anchor boxes to achieve multi-scale prediction, especially for small targets. For automotive applicable scenarios, the proposed vehicle detection network was executed in an embedded device. …”
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  15. 8135

    Comparison of the Performance of Pegasos and Traditional Models in the Task of Sentiment Classification of Product Reviews by Zhu Di

    Published 2025-01-01
    “…Sentiment classification of a large number of commodity reviews is very important for customer selection and market trend prediction. The key to achieving high accuracy of sentiment classification is to select appropriate models for training. …”
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  16. 8136

    Nonlinear Numerical Simulation for Oscillating Pressure in Cavity and Passive Control Research by Binqi Chen, Yiding Wang

    Published 2019-01-01
    “…Prediction of oscillating pressure is a key technology for cavity research. …”
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  17. 8137

    Study on the effects of the shot peening intensity on the microstructure, friction and wear properties of high-strength steel. by Huashen Guan, Junjie Zhang, Xiaoguang Zhang, Guofu Sun, Chenfeng Duan

    Published 2024-01-01
    “…A shot peening finite element model was established to accurately predict the residual stresses in the samples after shot peening. …”
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  18. 8138

    Development of Shunt-Type Three-Phase Active Power Filter with Novel Adaptive Control for Wind Generators by Ming-Hung Chen

    Published 2015-01-01
    “…This paper proposes a new adaptive filter for wind generators that combines instantaneous reactive power compensation technology and current prediction controller, and therefore this system is characterized by low harmonic distortion, high power factor, and small DC-link voltage variations during load disturbances. …”
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  19. 8139

    Research on Data Analysis and Visualization of Recruitment Positions Based on Text Mining by Yuanyuan Chen, Ruijie Pan

    Published 2022-01-01
    “…At the same time, the GM model is used to realize the gray prediction of the number of employment personnel in related industries, which provides employment reference for the majority of job seekers and enterprises.…”
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  20. 8140

    Intelligent Excavation Technologies for Satellite Spectrum Signals by Qiulin LYU, Xiaojin DING, Gengxin ZHANG

    Published 2022-09-01
    “…With the construction of spatial information network, the available spectrum resources are increasingly scarce, and the electromagnetic environment is becoming more and more complex, resulting a more prominent challenge of realizing the safe control of the global electromagnetic.Therefore, the sensing method of electromagnetic spectrum occupation state was studied, a time convolution neural network to sense the spectrum occupation state was constructed.To mine abnormal spectrum data, neural network was used to automatically detect abnormal spectrum, such as fl uctuation noise fl oor, spectrum grass and large bandwidth.The spectrum parameter extraction method was explored.Considering the large propagation delay between the spectrum-sensing satellite and its gateway, a neural network was constructed to predicted the spectrum occupation state.The perception, anomaly, parameters and prediction results of satellite spectrum signal were visualized.The preliminary evaluation results showed that the designed satellite-spectrum intelligent mining technologies could not only improved the sensing ability of spectrum situation, but also eff ectively improved the utilization of spectrum resources.…”
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