The Analysis of Expenditures for Sewage Management and Water Protection in Poland by Katarzyna Oszczapińska, Iwona Skoczko

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Classification of projects on energy supply systems development of port infrastructure facilities. by Kharitonov Yu., Chernova L.

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Classification of All Primitive Groups of Degrees Four and Five by Haval M. Mohammed Salih

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Classification of Semantic Relations of the Two-Step Epithet’s Components in Paradigmatic and Syntagmatic Aspects by Olga L. Lyubovskaya

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Classification of Perm krai areas according to prospectivity for oil fields acquisition by Vladislav I. Galkin, Stanislav I. Solov'ev

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Agricultural trade between Malaysia and China: Competitiveness and complementarity by Zhe Tao, Siva Shankar Ramasamy, Fangli Ying

“…This investigation uses quantitative research methodologies to draw upon data extracted from the UN Commodity Trade Statistics Database, specifically employing the HS2012 (HS12) classification system from 2017 to 2019. The empirical findings illuminate significant trends. …”
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Multilayer-Aggregation Functional Network for Identifying Brain Fatigue and Diseases by Wen-Kuo Cui, Wen-Kuo Cui, Xin-Rui Qi, Yu Sun, Gang Yan, Gang Yan, Gang Yan

“…We extract features from these MAFNs and incorporate them into each of 12 classification algorithms, aiming to detect mental fatigue and two brain diseases, schizophrenia and epilepsy. …”
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Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data by Yupeng Kang, Qingyan Meng, Miao Liu, Youfeng Zou, Xuemiao Wang

“…On the basis of GF-6 WFV red edge band spectral analysis, different red edge feature extraction and red edge indices feature importance evaluation, 12 classification schemes were designed based on GF-6 WFV of four bands (only including red, green, blue and near-infrared bands), stepwise discriminant analysis (SDA) and random forest (RF) method were used for feature selection and importance evaluation, and RF classification algorithm was used for crop classification. …”
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Classification of turbidite fans of Meishan Formation in Qiongdongnan Basin and their exploration significance by LI Jianping, XIONG Lianqiao, HUANG Qifei, XU Wei, LI Xiangquan

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Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare by Amin Ul Haq, Jian Ping Li, Sultan Ahmad, Shakir Khan, Mohammed Ali Alshara, Reemiah Muneer Alotaibi

“…The experimental results demonstrated that the proposed (R2DCNNMC) model obtained high accuracy and obtained 98.12% classification accuracy on CRD data set, and 99.45% classification accuracy on CXI data set as compared to baseline methods. …”
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Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images by Haoran Meng, Cunjun Li, Yu Liu, Yusheng Gong, Wanying He, Mengxi Zou

“…To solve this problem, this study took Zhaodong City, a vital corn-planting base in China, as the research area; took GF-6/GF-3 and Sentinel-1/Sentinel-2 as remote sensing data sources; designed12 classification scenarios; analyzed the best classification period and the best time series combination of corn classification; studied the influence of SAR images on the classification results of time series images; and compared the classification differences between GF-6/GF-3 and Sentinel-1/Sentinel-2. …”
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Female Leaders and Earnings Management: An Exploration of Chief Positions by Septian Bayu Kristanto, Sidharta Utama, Sylvia Veronica N.P. Siregar

“…The sample was separated into 12 classifications, according to IDX Industrial Classifications. …”
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Mortality and cause of death in South Korean patients with Parkinson’s disease: a longitudinal follow-up study using a national sample cohort by Young Kyung Lee, Jae-Sung Lim, Hyo Geun Choi, Songyong Sim, Miyoung Kim

“…The causes of death were grouped into 12 classifications.Results The adjusted HR for mortality in the PD group was 2.09 (95% CI 1.94 to 2.24, p<0.001). …”
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The Impact of Atmospheric Circulation on Air Temperature Rise in Estonia by Merily Lakson, Piia Post, Mait Sepp

“…Changes in the frequency of circulation types belonging to 12 classifications from the COST733 data set and changes in accompanying air temperature were analyzed. …”
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Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence. by Soroosh Shalileh, Dmitry Ignatov, Anastasiya Lopukhina, Olga Dragoy

“…Concerning the second objective, we formulated the task of dyslexia prediction as regression and classification problems and scrutinized the performance of 12 classifications and eight regressions approaches. We exploited the Bayesian optimization method to fine-tune the hyperparameters of the models: and reported the average and the standard deviation of our evaluation metrics in a stratified ten-fold cross-validation. …”
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