Search Results - data processing methods

Temporal Analysis of Multispectral Satellite Data for the Purpose of Urbanization Monitoring by V. Kević, I. Racetin, A. Krtalić

Get full text

Prevalence of sleep disorders in teenage girls in Irkutsk (questionnaire data) by S. E. Bolshakova, I. M. Madaeva, O. N. Berdina, E. E. Khramova, O. V. Bugun, L. V. Rychkova

Get full text

Perception of Iconic Russian Elements by English Speakers: Experimental Data by M. V. Veselova

Get full text

Key features of observational research data preparation for evidence synthesis by A. A. Lazarev, K. V. Sapozhnikov, D. G. Tolkacheva, N. A. Sableva

“…This work was conducted within a review of asymptomatic hyperuricemia (AH) and was intended to lead to the consensus among rheumatologists on the management patterns of patients with AH in the Russian Federation.Materials and methods. This article examined and described the process of preparing OS data for evidence synthesis.Results. …”
Get full text

Postmarketing Surveillance: Review of Open Sources of Drug Safety Data by E. V. Shubnikova

“…The use of recommended data sources can optimize the process of safety monitoring, significantly increase the identification rate for potential risks of pharmacotherapy, and facilitate the timely development of measures to prevent these risks. …”
Get full text

Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…Yet due to their reliance on complex, time-intensive data collection processes and estimations, these indicators are not suitable for identifying energy poverty in specific households. …”
Get full text

Analisis Ketersediaan Data Indikator Smart City Kabupaten Tegal by Maria Dolorosa Kusuma Perdani, Inasari Widyastuti, Daru Nupikso

“…Tegal Regency which is still in the "starting process" towards smart city needs to measure the availability of smart city indicator data so that program planning to reach smart city can be carried out comprehensively. …”
Get full text

INVESTIGATING IMPREGNATION BY ACOUSTIC EMISSION METHOD by Vladimir L. Gaponov, Dmitry M. Kuznetsov, Ekaterina S. Cherunova, Olga O. Barannikova

“…This indicates complexity and multistage character of the impregnation process. The data obtained permit to forecast the sphere of the AE method application as a nondestructive technique of depth and dip fullness control.…”
Get full text

A Combination of SHA-256 and DES for Visual Data Protection by Aristides Bima Wintaka, Christy Atika Sari, Eko Hari Rachmawanto, Rabei Raad Ali

“…This study employs SHA-256 and DES algorithms to safeguard visual data through encryption and decryption processes. …”
Get full text

Improved Firefly Algorithm with Variable Neighborhood Search for Data Clustering by Hayder Naser Khraibet Al-Behadili

Get full text

The Analysis of the Criticality of Data Integrity in Human Resources Information Systems by Dickson Mdhlalose

“…Method: Data from secondary sources were used in this investigation. …”
Get full text

Risks and Prevention Methods in Green Finance by Hong Zihui

Get full text

RTide: Automating the Tidal Response Method by Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock

“…Moreover, specialized approaches impose problem‐specific functional forms and rely on auxiliary data, limiting their applicability across different nonstationary tidal processes. …”
Get full text

Combined method for acoustic cavitation research by A. V. Kotukhov, V. S. Gavrilyuk, V. S. Minchuk, N. V. Dezhkunov

“…At present, the field of applications of powerful ultrasound is expanding intensively, and the improvement of equipment and technological processes continues. With that, the key factor in the effect of ultrasonic vibrations on processes in liquids and liquid-like media is cavitation, i.e. the phenomenon of formation, pulsation and collapse of gas microbubbles under the influence of variable pressure. …”
Get full text

Quality control of malt by photoluminescent method by M. G. Kulikova, M. V. Belyakov, A. A. Gerts

“…The measurement of biochemical parameters: powdery content, extractivity and acidity was carried out in a biochemical laboratory and using appropriate equipment according to  the control methods described in GOST 29294-2021. For all the samples studied, families of excitation and luminescence characteristics were obtained for grains of varying degrees of powdery content, extractivity and acidity.ConclusionAs a result of the conducted research:The spectral characteristics of excitation and luminescence of barley and oat malt grains of various degrees of germination have been studied.The dynamics of changes in the powdery content, extractivity and acidity of barley and oat malt during germination has been studied.The dependences of the luminescence flux on the studied biochemical characteristics are presented.Linear approximation equations for barley and oat malt grains are derived.With the help of additive modeling, equations are derived that allow predicting the time to reach the norm of indicators of malt of the highest class.The technological scheme of the process of express diagnostics of powdery content, extractivity and acidity of malt has been developed.The obtained results of spectral and biochemical studies are valuable experimental data that can become the basis for further scientific research in the field of grain and malt studies. …”
Get full text

Bayesian estimation of orientation and direction tuning captures parameter uncertainty by Zongting Wu, Stephen D. Van Hooser

Get full text

GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

“…The rapid proliferation of scientometric and bibliometric analyses has emphasized the need for robust, scalable methods to visualize complex, large-scale research data. …”
Get full text

The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The relevance of the topic is argued by the rapid growth in the volume of transactions in the global economy, combined with the inability of traditional methods to provide truly effective processing of multidimensional dynamic data in real time. …”
Get full text

Alzheimer’s disease multiclass detection through deep learning models and post-processing heuristics by Rani Ghassan Al Rahbani, Anastasia Ioannou, Tao Wang

Get full text

Lavender hydrosol analysis using UV spectroscopy data and partial least squares regression by Sára Preiner, Bálint Levente Tarcsay, Dóra Pethő, Norbert Miskolczi

Get full text