Analysis of City Demographics in Turkiye Using Data Mining Techniques by Özge Doğuç, Kevser Şahinbaş, Gökhan Silahtaroğlu

“…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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Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture by Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais, Muhammad Naveed Tahir, Shoaib Rashid Saleem, Fuad A.M. Al-Yarimi, Mirjalol Ashurov, Oumaima Saidani, M.Ijaz Khan, Junfeng Wu, Zhang Wei, Jiandong Hu

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Initiation and intensification of antihyperglycemic therapy in type 2 diabetes mellitus: Update of Russian Association of Endocrinologists expert consensus document (2015) by Ivan Ivanovich Dedov, Marina Vladimirovna Shestakova, Alexander Sergeevich Ametov, Mikhail Borisovich Antsiferov, Gagik Radikovich Galstyan, Alexander Yur'evich Mayorov, Ashot Musaelovich Mkrtumyan, Nina Alexandrovna Petunina, Olga Yur'evna Sukhareva

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A Novel Approach on Decision Support System Based on the Aczel-Alsina Aggregation Operators and Their Applications to Supplier Selection Problems by Yong-Long Wang, Ebenezer Bonyah, Mashael Khayyat, Zubair Ahmad, Muhammad Shakeel, Waris Khan

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Automatic Image Colorization Based on Convolutional Neural Networks by L. V. Serebryanaya, V. V. Potaraev

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Progressive First-Failure Censoring in Reliability Analysis: Inference for a New Weibull–Pareto Distribution by Rashad M. EL-Sagheer, Mahmoud M. Ramadan

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Modelling School Zone Border as Rich Modelling Problem for Secondary School Students by Gede Suweken

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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…In the context of the deep integration of new generation information technology and smart education, the research and application of smart classroom systems have received widespread attention. …”
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Components of Speaker’s Rhetoric in Terms of Interpretation of the Text of Public Speaking (based on the Speech of W. Churchill “Their Finest Hour”) by T. N. Zubakina

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Interference Effect Between a Parabolic Notch and a Screw Dislocation in Piezoelectric Quasicrystals by Yuanyuan Gao, Guanting Liu, Chengyan Wang, Junjie Fan

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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…We designed a detection algorithm using trend data to validate our clustering method, thereby enhancing the accuracy of the analysis of tonal ranges and potential models. …”
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The ethics of AI at the intersection of transgender identity and neurodivergence by Max Parks

“…Abstract Artificial intelligence systems increasingly mediate decisions in domains from healthcare and education to law enforcement, but they often inherit historical biases. …”
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Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

“…The proposed model effectively optimizes the virtual reality teaching process of arts and crafts, and provides a useful contribution to the application of virtual reality in the field of education.…”
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Traffic Foreground Detection at Complex Urban Intersections Using a Novel Background Dictionary Learning Model by Qianxia Cao, Zhengwu Wang, Kejun Long

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What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty? by Ebru Çağlayan-Akay, Gülşah Sedefoğlu

“…Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. The results of the study show that the most effective variables, which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. …”
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Complex dynamics of a family Cubic-Logistic map by baraa ahmed, Salma Muslih Farris

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Analyse des discours à l’aide des techniques d’apprentissage automatique by لمياء خي

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A Novel Regularization Model for Inversion of the Fracture Geometric Parameters in Hydraulic-Fractured Shale Gas Wells by Hongxi Li, Li Zhang, Lu Li, Bin Zhou, Yunjun Zhang, Yu Fu

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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…ABSTRACT Background Plasma protein has gained prominence in the non‐invasive predicting of lung cancer. We utilised Zeolite Zotero NaY‐based plasma proteomics to investigate its potential for multiple event predicting, including lung cancer diagnosis (task #1), lymph node metastasis detection (task #2) and tumour‒node‒metastasis (TNM) staging (task #3). …”
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Mapping the global risk of chikungunya virus endemicity and autochthonous transmission following importation by Yu-Feng Yang, Yun-Bo Qiu, Qiang Xu, Rui-Cheng Gao, Tian Tang, Yao Tian, Yan-He Wang, Sheng-Hong Lin, Yun-Dong Shi, Long-Tao Chen, Yan Zhang, Jun Ma, Chen-Long Lv, Guo-Lin Wang, Hai-Feng Pan, Wei Liu, Li-Qun Fang

“…Subsequently, the respective risk distributions of CHIKV occurrences were projected and used the SHAP method to rank feature importance and interpret model predictions. Results: Machine learning frameworks that stratifying endemic zones and importation-transmission prone regions have revealed consistent ecological drivers, albeit with significantly discrepant rankings of feature importance. …”
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