Search Results - data processing methods

Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics by Brynn Noble, Zak Ratajczak

“…Combining data from both platforms yielded the best results, with 97.7% overall accuracy. …”
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A Delphi-based framework for optimizing nurse staffing in Chinese hospitals by Waner Wang, Waner Wang, Gege Li, Jiangfeng Pu, Tiemei Shen, Zhanghao Xie, Lifang Chen, Hong Cui, Peng Xu, Huigen Huang, Huigen Huang

“…The primary objectives of this optimization process include reducing nurse workload, improving job satisfaction, and decreasing turnover rates, all of which facilitate improved patient outcomes.MethodsThe evaluation index pool and questionnaire for the index system consultation were developed using a literature review and semi-structured expert interviews. …”
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Impact of geofactors on landslide susceptibility using weighted overlay method: An integrated GIS and field-based analysis on NH-07, Chamoli, Uttarakhand by Haritabh Rana, Tahir Mushtaq, Ranjith Anburaj

“…Knowledge driven weighted overlay method (WOM) integrating GIS and field based multiple geofactor maps has been used where each thematic map was given a rating and weighting process utilizing a heuristic approach which facilitated the generation of a landslide susceptibility map, separately for the rock and debris domain of the region. …”
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Application of the method of insignificant divergences to diagnose the technical aircraft gas turbine engine state under the transient-state conditions of its operation by O. F. Mashoshin, I. G. Kharmats

“…It represents a system of equations analytically combining the relative parameter divergences measured during the engine operation with the relative divergences of unmeasured thermogasdynamic parameters and geometric gas-air flow duct parameters allowing for the technical condition of gas-air channel elements to be classified. A method for constructing mathematical and diagnostic engine models, using the transient response data, has been formulated. …”
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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

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Prospects of using chondroprotectors for the treatment of pulmonary pathology by I. Yu. Torshin, O. A. Gromova, A. G. Chuchalin

“…Inhibition of proinflammatory mechanisms (NF-κB, activation of toll-receptors, increased levels of cytokines, degranulation of mast cells, etc.) by CS and GS provide the prospects for their use to inhibit inflammation in the respiratory tracts, allergic processes and to enhance the effects of glucocorticoids.Objective: to systemize data on the effects of chondroitin sulfate and glucosamine sulfate on pathophysiological processes in pulmonary pathology.Material and methods. …”
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Evaluation of nurses' performance and knowledge of the correct method of disinfection of consumables and consumables in endoscopy departments of covered hospitals Mashhad Universit... by Shapour Badiee, Behnaz Samiee, Golnaz Sabouri, Elnaz Sadeghian, Zahra Abbasi Shaye, Javad Mahmoudi Fathabadi, Rozita Davoodi, Fariba Zeinaly, Negaer Yeganeh Khorasani

“…The data collection tool was the standard endoscope decontamination evaluation checklist taken from the translation of the checklist of WHO and analyzed by SPSS 20 statistical software.Results: The results showed a statistically significant difference between nurses' knowledge and performance (P-value = 0.03), and nurses' performance had lower percentages than knowledge.Conclusion:Due to the statistically significant difference in nurses' knowledge and practice in correct disinfection of consumable and non-consumable equipment in endoscopy and the low performance of nurses in some areas of the disinfection process, interventions such as face-to-face training of nurses and continuous monitoring of performance, especially evaluation of three months of nurses' performance are necessary.…”
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A Confidential Transmission Method for High-Speed Power Line Carrier Communications Based on Generalized Two-Dimensional Polynomial Chaotic Mapping by Zihan Nie, Zhitao Guo, Jinli Yuan

“…These issues become particularly pronounced in high-speed transmission scenarios, where the conflict between data security and communication reliability is more acute. …”
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Study on lifecycle management of high-speed rail catenary system under the MDD-APC theory by Rui Li, Ping Li, Chenkang Wu, Xue Zhang

“…Findings – This study investigates the full-process lifecycle management of the catenary system across various stages of design, manufacture, construction and operation, exploring integrated BIM models and data transmission methods, along with key technologies for BIM model transmission, transformation and lightweighting. …”
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On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series by Jitendra K. Tugnait

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Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.…”
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Implementation of a Conditional Latent Diffusion-Based Generative Model to Synthetically Create Unlabeled Histopathological Images by Mahfujul Islam Rumman, Naoaki Ono, Kenoki Ohuchida, Ahmad Kamal Nasution, Muhammad Alqaaf, Md. Altaf-Ul-Amin, Shigehiko Kanaya

“…Finally, we determined the optimal number of clusters using cluster validation metrics and assessed the quality of the synthetic images through quantitative methods. To enhance the interpretability of the synthetic image generation process, expert input was incorporated into the cluster assignments.…”
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Short-term stock indices as a tool for assessing and forecasting scientific and technological security by A. I. Ladynin

“…The approach towards information processing and enhancement of analysis mechanisms in managerial decisions, which relies on diagnostic, analysis, and forecasting tools for socioeconomic system scientific and technological security, is based on information-processing, economic, and mathematical methods. …”
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Contrastive Learning Pre-Training and Quantum Theory for Cross-Lingual Aspect-Based Sentiment Analysis by Xun Li, Kun Zhang

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Simulation of orographic precipitation’s component on the Mount Elbrus example by P. A. Toropov, A. A. Shestakova, J. I. Yarynich, S. S. Kutuzov

“…ERA5 reanalysis, which was previously compared with observational data, is used as initial data. The proposed model adequately reproduces the spatial and temporal variability of precipitation on the Elbrus slopes both for short episodes and on the climatic time scale (1985–2018). …”
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Integrating NMR and MS for Improved Metabolomic Analysis: From Methodologies to Applications by Patricia Homobono Brito de Moura, Guillaume Leleu, Grégory Da Costa, Guillaume Marti, Pierre Pétriacq, Josep Valls Fonayet, Tristan Richard

“…A comprehensive search of SciFinder, Scopus, and Clarivate Web of Science databases was conducted to analyze fusion techniques, methods, and statistical models. The review emphasizes the growing importance of DF in metabolomics, showing its capacity to provide a more comprehensive view of biochemical processes across diverse biological systems, including clinical, plant, and food matrices.…”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…To overcome these limitations, this paper proposes a deep learning-based multimodal learning framework for defect prediction that integrates manufacturing process data (tabular features) and optical eye diagram images from the module’s receiver. …”
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Development of a Software Package Architecture for Simulation and Prototyping of Radar Systems and Complexes by I. S. Serdiukov

“…Computer simulation and prototyping software can simplify the design process of complex information and measurement systems significantly, including radar systems and complexes. …”
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DRKG: Faithful and Interpretable Multi-Hop Knowledge Graph Question Answering via LLM-Guided Reasoning Plans by Yan Chen, Shuai Sun, Xiaochun Hu

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