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    Assessing government grants: evidence from greenhouse tomato and pepper farmers in Kosovo by Blend FRANGU, Jennie SHEERIN POPP, Michael THOMSEN, Arben MUSLIU

    Published 2018-12-01
    “…Genetic matching with an evolutionary algorithm was applied to evaluate the impact of the Ministry of Agriculture, Forestry and Rural Development (MAFRD) grant programs to support greenhouse vegetable production in Kosovo. …”
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    Characterization of the salivary microbiome in healthy individuals under fatigue status by Xianhui Peng, Na Han, Yanan Gong, Lihua He, Yanli Xu, Di Xiao, Tingting Zhang, Yujun Qiang, Xiuwen Li, Wen Zhang, Jianzhong Zhang

    Published 2025-05-01
    “…Phenotypic predictions indicated a significant increase in the proportion of bacteria harboring Mobile Genetic Elements (MGEs) (p=0.048), alongside significant reductions in the proportion of aerobic bacteria (p=0.006) and biofilm-forming capacity (p=0.002) in the FTG group. …”
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    Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies by Mohammad Khalili, Hamzehali Nourmohammadi, Nader Naghshineh

    Published 2024-09-01
    “…Additionally, clustering techniques, such as k-means, were employed to identify different forms of theft crimes. Classification algorithms, including neural networks, Bayesian rules, Bayesian navigation, and support vector machines, were used to predict theft crimes. …”
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    The Relationship Between Horizontal Jumping and Sprinting Ability Across Sexes in Young Active Adults by Adam Kleeberger, Dana Agar-Newman, Ming-Chang Tsai, Marc Klimstra

    Published 2024-11-01
    “…Further, athlete mass is a significant factor in the prediction of acceleration ability but not maximum speed, and horizontal jumps were significant factors in the prediction of max speed but not acceleration.…”
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    Analysis of City Demographics in Turkiye Using Data Mining Techniques by Özge Doğuç, Kevser Şahinbaş, Gökhan Silahtaroğlu

    Published 2023-06-01
    “…For this purpose, data is obtained from Turkish Statistical Institution (TUIK) and fuzzy c-means clustering algorithm was used to find categorizations. The data set contains 142 variables from 8 categories such as education, health, happiness, and development levels. …”
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    Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

    Published 2025-04-01
    “…Results showed that the MLP model achieved an average prediction accuracy of 84.5% with an F1-score of 0.844, demonstrating the feasibility of deep learning approaches in ESP construction. …”
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    A Framework for High-Spatiotemporal-Resolution Soil Moisture Retrieval in China Using Multi-Source Remote Sensing Data by Zhuangzhuang Feng, Xingming Zheng, Xiaofeng Li, Chunmei Wang, Jinfeng Song, Lei Li, Tianhao Guo, Jia Zheng

    Published 2024-12-01
    “…Four machine learning and deep learning algorithms are applied, including Random Forest Regression (RFR), Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM) networks, and Ensemble Learning (EL). …”
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    Enhancing the Accuracy of Image Classification for Degenerative Brain Diseases with CNN Ensemble Models Using Mel-Spectrograms by Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim

    Published 2025-06-01
    “…The proposed ternary classification algorithm integrates the predictions of binary CNN classifiers through a majority voting ensemble strategy. …”
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