Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS by Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen

“…Several machine learning models were evaluated, including random forest, XGBoost, and CatBoost, with model optimization performed using the Sparrow Search Algorithm (SSA) to enhance prediction accuracy. …”
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Multimodal Approach (MRI and Ultrasonography) to the Diagnosis of Fetal Congenital Heart Diseases by A. V. Pomortsev, M. N. Karakhalis, N. V. Krivonosova, K. F. Goloseev

“…In 85.7% of the fetuses, the findings of different imaging techniques fully coincided with the autopsy findings.Conclusions: In this cohort of pregnant women, the second screening should include more examinations to verify the diagnosis of CHD. …”
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Artificial Intelligence-Based Surface Roughness Estimation Modelling for Milling of AA6061 Alloy by Aykut Eser, Elmas Aşkar Ayyıldız, Mustafa Ayyıldız, Fuat Kara

“…In the forming of the network construction, five different learning algorithms were used: the conjugate gradient backpropagation, Levenberg–Marquardt, scaled conjugate gradient, quasi-Newton backpropagation, and resilient backpropagation. …”
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Impact of rhinosinusal polyposis on CT score in patients with chronic rhinosinustis by Dudvarski Zoran, Janošević Ljiljana, Penđer Ivica, Đukić Vojko, Ješić Snežana, Dimitrijević Milovan, Arsović Nenad

“…Recent studies show the possibility of existing different subtipes of chronic rhinosinusitis, pointing out the presence of nasal polyps and their influence on the severity of chronic rhinosinusitis. …”
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Fall prediction in a quiet standing balance test via machine learning: Is it possible? by Juliana Pennone, Natasha Fioretto Aguero, Daniel Marczuk Martini, Luis Mochizuki, Alexandre Alarcon do Passo Suaide

“…Six different machine learning algorithms were tested for this classification, which included Logistic Regression, Linear Discriminant Analysis, K Nearest-neighbours, Decision Tree Classifier, Gaussian Naive Bayes and C-Support Vector Classification. …”
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Image Biomarker Analysis of Ultrasonography Images of the Parotid Gland for Baseline Characteristic Establishment with Reduced Shape Effects by Hak-Sun Kim

“…Regions of interest were drawn twice on 50 images using different shapes to assess the intraclass correlation coefficient (ICC). …”
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Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

“…A feature extraction scheme is designed in the initial data processing, and feature data augmentation is performed to solve the small sample data problem. To evaluate the performance of the designed football motion recognition algorithm, this paper proposes a data extraction experimental scheme to complete the data collection of different motions. …”
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Improving Scheduling Efficiency: A Mathematical Approach to Multi-Operation Optimization in MSMEs by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Margarita De Miguel-Guzmán, Gelmar García-Vidal, Rodobaldo Martínez-Vivar

“…A multi-criteria optimization method with weighted aggregation was used, employing either an exhaustive search or a heuristic algorithm with nested loops, in which multiple possible combinations of operational sequences were evaluated, considering several key indicators and their respective weights. …”
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Measuring the Company’s Capabilities and Assessing their Impact on Its Economic Results: Analytic Tools by E. P. Tretiakova, M. S. Tretiakova

“…To solve analytical tasks at different levels of management, combinations of methods, tools and indicators called “research formats” (detailed, diagnostic, express diagnostic analysis) were developed. …”
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Multi-Objective Optimization of Natural Lighting Design in Reading Areas of Higher Education Libraries by Xiao Cui, Chi-Won Ahn

“…A parametric building information model (BIM) was developed in Revit, and lighting simulations were conducted in DIALux Evo to evaluate different design alternatives. Experimental validation was carried out in an actual library setting, with illuminance data collected from five representative measurement points. …”
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Recommending Tolerance Value for SpO2 Devices with Linear Regression Based on Measuring Tape by Cafer Budak, Özge Üstüner

“…Using a linear regression algorithm, SpO2 values from different bands were classified for quality. …”
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The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data by O. González-Guerrero, X. Pons

“…These images as well as texture variables, terrain models derived from lidar processing, and vegetation and wetness indices were classified using the k-Nearest Neighbor algorithm (kNN) to obtain a map with 25 categories. …”
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Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication by Wen Wang, Jinkang Zhu, Sihai Zhang, Wuyang Zhou

“…A machine-type communications uplink transmission scheme adopting clustered distributed source coding is proposed to balance the compression ratio and decoding delay of distributed source coding where users are divided into independently encoded and decoded clusters. We evaluate three clustering algorithms, grid dividing, Weighted Pair Group Method with Arithmetic Mean, and K-medoids in our system model. …”
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Predicting the Response of Patients Treated with 177Lu-DOTATATE Using Single-photon Emission Computed Tomography-Computed Tomography Image-based Radiomics and Clinical Features by Baharak Behmanesh, Akbar Abdi-Saray, Mohammad Reza Deevband, Mahasti Amoui, Hamid R. Haghighatkhah, Ahmad Shalbaf

“…For the SPECT and SPECT-CT images, ten and eight features, respectively, were selected using the mRMR algorithm. Results: The results revealed that the RF classifier with feature selection algorithms through mRMR had the highest classification accuracies of 64% and 83% for the SPECT and SPECT-CT images, respectively. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…The accuracy of the DNN model was evaluated, resulting in a Mean Absolute Error (MAE) of 2.835%. …”
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Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

“…Simulations verify the accuracy of the CS computation algorithm and the effectiveness of the re-planning scheme under different fault conditions. …”
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Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN by Dengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Yanming Li

“…In addition, weighted batch normalization (BN), a modification of BN, is designed to evaluate the contributions of the three feature learning approaches. …”
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StaEn-IDS: An Explainable Stacking Ensemble Deep Neural Network-Based Intrusion Detection System for IoT by Monika Vishwakarma, Nishtha Kesswani

“…With millions of connected devices from different manufacturers using various protocols and IoT applications, ensuring IoT security is challenging. …”
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Building a personality assessment tool based on existing personality questionnaires: Based on big data by maryam mohtashami, Mohammad Hossein Zarghami, Beheshte Nyusha

“…Conclusion: In line with previous researches, two dominant dimensions were evaluated for personality questions and an algorithm of personality questions was obtained that can be used for premarital, clinical, career counseling, education and humanities research institutes. …”
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Effect of DEM Used for Terrain Correction on Forest Windthrow Detection Using COSMO SkyMed Data by Michele Dalponte, Daniele Marinelli, Yady Tatiana Solano-Correa

“…The terrain correction was done using a radiometric and geometric terrain correction algorithm. Specifically, we evaluated five different DEMs: (i–ii) a digital terrain model and a digital surface model derived from airborne LiDAR flights; (iii) the ALOS Global Digital Surface Model; (iv) the Copernicus global DEM; and (v) the Shuttle Radar Topography Mission (SRTM) DEM. …”
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