Search Results - "Algorithm"

Nasolacrimal Duct Obstruction Secondary to Radioactive Iodine-131 Therapy for Differentiated Thyroid Cancer by A. A. Trukhin, V. D. Yartsev, M. S. Sheremeta, D. V. Yudakov, M. O. Korchagina, R. Kh. Salimkhanov, S. V. Grishkov

“…The authors suggest the following: to include information on secondary NLDO as a complication of therapy to the SmPC section on undesirable effects; to develop approaches to secondary NLDO prevention; and to improve the algorithms for reporting adverse events in case of delayed manifestation and those for following patients up in the medical organisations having administered the radiopharmaceutical or in other medical organisations being applied to for medical care afterwards.…”
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Copper Metabolism-Related Genes as Biomarkers in Colon Adenoma and Cancer by Zhang T, Fu Y

“…Five machine-learning algorithms were employed to identify biomarkers. The degree of immune infiltration was evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), and the expression profiles of these biomarkers across various cell types were further characterized using single-cell RNA sequencing (scRNA-seq). …”
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Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model–Assisted Content Analysis: Mixed Methods Study by Muhammad Hafiz Sulaiman, Nora Muda, Fatimah Abdul Razak

“…Fake reviews were filtered out using natural language processing and machine learning algorithms trained on yelp.com validated datasets. GPT-4o mini model application programming interface (API) was then applied to filter out reviews without any quality issues. …”
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Comparative Assessment of the Dynamics of Visual Performance of a Patient with Visually Intense Work with Binocular Cataract after Various Technologies of Cataract Phacoemulsificat... by D. F. Pokrovsky, I. B. Medvedev, N. I. Ovechkin, I. G. Ovechkin, A. I. Pavlov

“…Patients were divided into three equals in number (n = 100), age (from 38 to 66 years, mean age 55.8 ± 1.3 years), gender (78 % — men; 22 % — women), refractive values of the group who underwent PEС using the following technologies: delayed sequential bilateral cataract surgery (DSBCS), immediate sequential bilateral cataract surgery according to the traditional (trISBCS) and developed algorithms (maISBCS). Examination of the state of vision of patients in all groups was performed before and 3 months after surgery according to clinical (BCVA in terms of the difference between the first and second eye) and the following ophthalmo-ergonomic indicators, which were assessed using special computer programs: “Visual productivity”, “Glazomer”, “Visual search”.Results. …”
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A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

“…Aiming at the different sizes and textures of the defect types on the surface of the outer ring of the bearing, and the fact that most of the target detection algorithms relying on deep learning show low speed and low precision in the detection of defects on the surface of the bearing, this paper presents a lightweight method for detecting the defects on the surface of the bearing based on deep learning and ontological reasoning. …”
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Current Status of Application of Spaceborne GNSS-R Raw Intermediate-Frequency Signal Measurements: Comprehensive Review by Qiulan Wang, Jinwei Bu, Yutong Wang, Donglan Huang, Hui Yang, Xiaoqing Zuo

“…Finally, the existing research results are summarized, and suggestions for future prospects are put forward, including improving the accuracy of signal processing and reflection signal analysis, developing more advanced algorithms and technologies, and so on, to achieve more accurate and reliable Earth observation and remote sensing applications. …”
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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…In the comparison of ML models, the traditional ML algorithms, Random Forest Regressor and Extreme Gradient Boosting (XGB) slightly outperformed the Automatic Machine Learning (AutoML) approach, auto-sklearn, for all forest parameters, achieving high accuracies (R2 between 70% and 86%) and low errors (0.055–0.29 of mean absolute error). …”
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The Difference in MODIS Aerosol Retrieval Accuracy over Chinese Forested Regions by Masroor Ahmed, Yongjing Ma, Lingbin Kong, Yulong Tan, Jinyuan Xin

“…The proposed results highlight critical limitations of current aerosol retrieval algorithms in forest and mountainous landscapes, necessitating methodological refinements to improve satellite-based derived AOD accuracy in ecological sensitive areas.…”
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Perbandingan Klasifikasi Antara KNN dan Naive Bayes pada Penentuan Status Gunung Berapi dengan K-Fold Cross Validation by Firman Tempola, Miftah Muhammad, Amal Khairan

“…Abstract This research will compare two classification algorithms that are K-Nearest Neighbors and Naive Bayes Classifier on data of volcanic status activity in Indonesia. …”
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An approach to forecasting damage due to unfavorable circumstances associated with indistinguishability of source data by V. F. Zolotukhin, A. V. Matershev, L. A. Podkolzina

“…The results obtained are focused on the construction of analytical algorithms for establishing indistinguishability under the monitoring, modeling, forecasting state-related processes and complex dynamic multiparameter objects.…”
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Analysis of informativeness of features of classification of dangerous weather events based on radar observation results by O. V. Vasiliev, E. S. Boyarenko, A. N. Savelyev, N. V. Gorbachev

“…The classification criterion based on the maximum probability functional was chosen to determine the structure of classification algorithms and decision rules. At the same time under the acceptable confidence is accepted the value of the probability of correct classification not lower than 0.8. …”
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Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…Analysis and evaluation of already developed solutions, as well as existing literature; testing of existing algorithms for data analysis, finding diffraction maxima on the diffractogram. …”
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THE FEATURES OF QUALITATIVE AND QUANTITATIVE RECONSTRUCTION OF BUCCAL EPITHILIUM CELLULAR COMPOSITION IN A NICOTINE INTOXICATION by N.V. Gasiuk, T.N. Moshel, I.Yu. Popovich

“…Study of pathogenic mechanisms of inflammatory and precancerous processes in specified anatomical localization and serve as the theoretical basis for optimization of patient’s examination algorithms and determining the criteria of pathological processes emergence in healthy individuals were made. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…The theoretical foundations, the procedure and algorithms for studying the structure of multicomponent (discrete) systems are presented. …”
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A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis by Kirstin Leitner, Clare Cutri-French, Abigail Mandel, Lori Christ, Nathaneal Koelper, Meaghan McCabe, Emily Seltzer, Laura Scalise, James A Colbert, Anuja Dokras, Roy Rosin, Lisa Levine

“…Content for the program was developed using patient- and provider-based input and clinical algorithms. Our program offered 2-way communication to patients and details on physical recovery, lactation support, infant care, and warning signs for problems. …”
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Towards a Digital Twin for Gas Turbines: Thermodynamic Modeling, Critical Parameter Estimation, and Performance Optimization Using PINN and PSO by Jian Tiong Lim, Achnaf Habibullah, Eddie Yin Kwee Ng

“…Ultimately, the proposed methods aim to enhance GT operations via a data-driven digital twin concept combination of deep learning and optimization algorithms.…”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. Ultimately, an XGBoost-based feature selection method incorporating prior knowledge was employed to identify optimal LIBS spectral features, and the selected feature subsets were utilized in multimodal modeling to enhance stability. …”
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Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease by Everest Castaneda, Everest Castaneda, Elissa Chesler, Erich Baker

“…By adding a connectivity-based method, network rankings of similarity and relationships are explored between classes of SUDs and CVD.MethodsGraph spectral clustering's utility is evaluated relative to commonly used network algorithms for discernment between two distinct co-occurring disorders and capacity to rank pathways based on their distinctiveness. …”
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Development of the mechanism of intellectual management of “student-lecturer” relations in the space of virtual education with the use of neural networks by Guseyn Alekper ogly Gasymov

“…Studies show that for traditional universities there are different approaches with the use of expert systems, genetic algorithms to solve thisDevelopment of the mechanism of intellectual management of “student-lecturer” relations  in the space of virtual education with the use of neural networks problem. …”
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Spatial and Temporal Expansion of Photovoltaic Sites and Thermal Environmental Effects in Ningxia Based on Remote Sensing and Deep Learning by Heao Xie, Peixian Li, Fang Shi, Chengting Han, Ximin Cui, Yuling Zhao

“…This study analyzed the spatiotemporal expansion trends and microclimatic impacts of PV installations (2015–2024) using Gaofen-1 (GF-1) and Landsat8 satellite imagery with deep learning algorithms and multidimensional environmental metrics. …”
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