Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

“…This work proposed three models: CNN, CNN-XGBoost and CNN-RF to extract features and classify kidney Ultrasound images into four categories: three abnormal cases (stones, hydronephrosis, and cysts) and one normal case. …”
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Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson’s disease classification by Sameer Bhat, Piotr Szczuko

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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…In the first stage, the FPT is determined based on a normal behavior model. In the second stage, the uncertainty of the RUL is quantified by integrating the linear regression and the kernel density estimation strategies, which provide probabilistic RUL predictions. …”
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Modeling Critical Rework Factors in the Construction Industry: Insights and Solutions by Gulden Gumusburun Ayalp, Fatma Arslan

“…Exploratory factor analysis was used to extract critical rework factors (CRFs) and normalized mean value analysis was used to evaluate the criticality of the obtained causes. …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…In this paper, based on 12 UAV visible light images in differentiated scenarios in the Ebinur Lake basin, Xinjiang, China, various methods are used for high-precision FVC estimation: Otsu’s thresholding method combined with 12 Visible Vegetation Indices (abbreviated as Otsu-VVIs) (excess green index, excess red index, excess red minus green index, normalized green–red difference index, normalized green–blue difference index, red–green ratio index, color index of vegetation extraction, visible-band-modified soil-adjusted vegetation index, excess green minus red index, modified green–red vegetation index, red–green–blue vegetation index, visible-band difference vegetation index), color space method (red, green, blue, hue, saturation, value, lightness, ‘a’ (Green–Red component), and ‘b’ (Blue–Yellow component)), linear mixing model (LMM), and two machine learning algorithms (a support vector machine and a neural network). …”
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Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study by Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

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A CNN-LSTM model for road surface recognition of electric balance vehicles by Feifei Yu, Yongxian Huang, Canyi Du, Feng Li, Yongkang Gong, Guoyan Chen

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Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting by Andrey K. Gorshenin, Anton L. Vilyaev

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Combination of ultrasound and supercritical carbon dioxide extraction for trigonelline production from Quisqualis indica by Xing-Yu Liu, Yin-Long Li, Hai-Tao Zhang, Jing Zuo, Hans Gregersen, Hong Ou

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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system by Ivan V. Stepanyan, Safa A. Hameed

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Regenerative and Anti-Senescence Potential of Extracts from Different Parts of Black Persimmon in an In Vitro Model of Vascular Endothelium by Graziella Serio, Sina Naserian, Sawssen Ben Fraj, Georges Uzan, Carla Gentile

“…These findings underscore the potential of black persimmon extracts, especially from the seed, to enhance the regenerative capabilities of CB-ECFCs and reduce cellular senescence without affecting the normal endothelial phenotype. …”
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Structural Insights Into Aluminum‐Doped Manganese Dioxides as Promising Materials for Direct Lithium Extraction: Modeling and Mechanism Study by Shuxuan Yan, Shaozhen Pei, Xiaodong Li, Zhongyan Luo, Xiangping Chen, Małgorzata Szlachta, Junhua Xu

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Research on Topic Mining and Evolution Trends of Functional Agriculture Based on the BERTopic Model by Qiao Lin, Zhulin Xin, Shuang Peng, Ruixue Zhao, Yingli Nie, Youtao Chen, Xuebin Yin, Guojian Xian, Qiang Zhang

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Biochemical Study of Bilberry Extract Potential in Preventing Retinal Damage in Rat Model of Diabetes Induced by Streptozotocin/Nicotinamide by Maja Petrović, Marija Trenkić, Marija Veselinović, Aleksandra Smiljković, Dušan Sokolović

“…The present study investigates the therapeutic potential of bilberry (<i>Vaccinium myrtillus</i> L.) extract—rich in anthocyanins—applied for 14 days on blood glucose levels, lipid profile, and retinal oxidative stress (lipid peroxidation (TBARS) and advanced oxidized protein products (AOPPs)) in a streptozotocin/nicotinamide (STZ/NA)-induced diabetes rat model. …”
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Investigation of antiulcer activity of the thick extract of immature walnut fruits on the model of diclofenac-reduced gastric ulcer of rats by Ye. V. Zalygina, О. A. Podpletnya

“…The application of the extract had a pronounced normalizing effect on the state of the biochemical parameters of blood serum of rats in relation to the group of model pathogens. …”
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MEP-YOLOv5s: Small-Target Detection Model for Unmanned Aerial Vehicle-Captured Images by Shengbang Zhou, Song Zhang, Chuanqi Li, Shutian Liu, Dong Chen

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Methodology for extracting narratives from social media big data by E. Yu. Petrov, A. Yu. Sarkisova, D. O. Dunaeva, A. S. Voronov, M. G. Myagkov

“…Purpose: of the article is to present the experience in developing and testing the methodology for extracting a system of narratives on a socially significant phenomenon from authentic social network big data (using the example of narratives about COVID-19 vaccination in the Russian social network VKontakte during the pandemic).Methods: of automated data analysis were used by the tools of the PolyAnalyst analytical platform: topic modeling (PLSA method), text indexing algorithms with the sentence identification stage, clustering, data aggregation, data normalization, calculation of a quantitative index. …”
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A stacking ensemble classification model for determining the state of nitrogen-filled car tires by Shah Viraj Chetan, Sridharan Naveen Venkatesh, Vaithiyanathan Sugumaran, Sreelatha Anoop Prabhakaranpillai, Radha Manju Bhaskarapanicker

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Purple Yam (Dioscorea alata) Extract Increasing Dopamine Levels and Improving the Brain's Microscopic Features in Parkinson's Model Mice by Sapto Yuliani, Dwi Utami, Laela Hayu Nurani, Muhammad Marwan Ramadhan, Nadia Putri Ainiyah, Mochammad Saiful Bachri, Wahyu Widyaningsih, Danang Prasetyaning Amukti

“…This study investigated the antiparkinsonian effects of D. alata extract on dopamine levels and brain microscopic features in a haloperidol-induced PD mouse model. …”
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Purple Yam (Dioscorea alata) Extract Increasing Dopamine Levels and Improving the Brain's Microscopic Features in Parkinson's Model Mice by Sapto Yuliani, Dwi Utami, Laela Hayu Nurani, Muhammad Marwan Ramadhan, Nadia Putri Ainiyah, Mochammad Saiful Bachri, Wahyu Widyaningsih, Danang Prasetyaning Amukti

“…This study investigated the antiparkinsonian effects of D. alata extract on dopamine levels and brain microscopic features in a haloperidol-induced PD mouse model. …”
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