Drone-assisted climate-smart agriculture (DACSA): A spatially-based outcome prediction model as an initial approach to track yield changes in shallot planting areas

“…With this goal in mind, a research project was undertaken to develop a spatial model capable of providing real-time notifications on changes in plant yield and location. …”
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Differential diagnosis in joint and spine damages by N. V. Chichasova

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Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…Transitioning to recurrent neural network architectures, mainly BIGRU, enabled the modeling of sequential dependence on emissions data. …”
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Architectural design visual information mining system based on image processing technology by Pan Junyu

“…Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. …”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

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Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming by Yi Huangfu, Hongming Chen, Zhonghao Huang, Wenfeng Li, Jie Shi, Linlin Yang

“…<b>Discussions:</b> Although the experimental results demonstrated the significant advantages of the panoramic splicing method for corn ear images proposed in this paper in terms of improving information collection efficiency and automating corn assessment, the method still faces certain challenges. Future research will focus on the following points: 1. addressing the issue of environmental interference caused by diseases, pests, and plant nutritional status on the measurement of corn ear parameters in order to enhance the stability and accuracy of the algorithm; 2. expanding the dataset for the U-Net model to include a wider range of corn ears with complex backgrounds, different growth stages, and various environmental conditions to improve the model’s segmentation recognition rate and precision. …”
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Research on optimization of C4 repair operation of Harmony electric locomotive based on preventive maintenance. by Yihan Liu, Jieping Wu, Qiaoyu Wu

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Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

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LABORATORY OF CLINICAL IMMUNOLOGY N.V. SKLIFOSOVSKY RESEARCH INSTITUTE FOR EMERGENCY MEDICINE (HISTORY AND PRESENT) by M. A. Godkov, G. V. Bulava

“…Assessment of the immune status of patients with urgent types of pathology in the Institute for Emergency Medicine is performed according to three main objects of research: humoral , phagocytic and lymphocytic components of immune system . …”
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Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network by Chengmin Wang, Yangzi Wang, Fulong Song

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Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables by Ana Martha Cruz-Avalos, Montserrat Chagoya-Sánchez, César Andres Ángel-Sahagún, Ana Isabel Mireles-Arriaga, Griselda Maki-Díaz, René Loredo-Portales, Jesús Hernández-Ruíz

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Mapping the distribution of pine wilt disease based on selected machine learning algorithms and high-resolution Gaofen-2/7 remote sensing by Yifan Wang, Xiaocheng Zhou, Chongcheng Chen, Xiaoqin Wang, Hao Wu, Fanglin Tan, Ruijiao Wu

“…Under the influence of human activities and climate change, pine wilt disease (PWD) has caused significant damage to Masson’s pine (Pinus massoniana Lamb.) forests in subtropical China. Existing research has struggled to accurately capture the large-scale spatial distribution of the PWD, particularly for precise extraction at provincial level. …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…Third, it innovatively constructs an intelligent structural damage recognition model integrating morphological fractal theory and artificial neural network (ANN), and conducts a systematic comparative analysis with the traditional wavelet packet transform (WPT) method, verifying the effectiveness of the proposed MFD-ANN intelligent recognition model in this paper. The research results show that the signal corrosion algorithm based on mathematical morphology can significantly enhance the contrast of the steepness characteristics of wave peaks at different damage stages, thereby more effectively capturing the self-similarity characteristics of signal waveforms. …”
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Research on the Construction of Event Evolutionary Graph for Urban Rail Transit Train Operation and Maintenance Safety by FAN Qianqi, ZUO Jianyong, GONG Ming, JIA Bo, LI Zhengjiang

“…In the event extraction stage, a professional dictionary of urban rail is constructed and trigger word rules are designed; in the event relationship extraction stage, semantic dependency and sequential relationship are combined; in the event evolutionary alignment stage, an optimized clustering algorithm is used to define the main risk factors. …”
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Numerical Research of Fluid Flow and Solute Transport in Rough Fractures under Different Normal Stress by Min Wang, Qifeng Guo, Pengfei Shan, Meifeng Cai, Fenhua Ren, Bing Dai

“…Based on the corrected successive random addition (SRA) algorithm, fracture surfaces with different roughness expressed by the Hurst coefficient (H) were generated. …”
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Multi-Source Fusion Algorithms for Satellite Image Resolution Enhancement in Urban Land Cover Mapping of Ho Chi Minh City, Vietnam by Ha Tran Phuong, Ha Tuan Cuong

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Simulation Research on Active Noise Reduction in Driver’s Cab ofAutonomous-rail Rapid Tram by ZHOU Sheng, HUANG Wanjun, LI Wei, XIAO Lei, HUANG Jin, HE Jie

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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

“…In addition to being able to model the spatial–time heterogeneity available in observations, this algorithm is accurate and faster than MLR, GWR, GRNN, and GCW-GRNN. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

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