Search Results - data processing methods

Integrating Remote Sensing and Street View Imagery with Deep Learning for Urban Slum Mapping: A Case Study from Bandung City by Krisna Ramita Sijabat, Muhammad Aufaristama, Mochamad Candra Wirawan Arief, Irwan Ary Dharmawan

“…Consequently, reliable data is lacking, which poses a significant barrier to effective monitoring of slum upgrading programs. …”
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Toward Automatic Detection of Pi2 Magnetic Pulsation Using Machine Learning by Mohamed S. Abdalzaher, Essam Ghamry, Khairul Adib Yusof, Mostafa Shaaban

“…Nowadays, it is well known that Pi2 occurs at the onset of geomagnetic substorms, is considered an outstanding research topic in space physics, and is a link between ionospheric and magnetospheric processes. The discontinuation of the conventional index previously employed to detect Pi2 pulsations has driven this study to propose an innovative detection method leveraging machine learning (ML). …”
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The Mechanical Characterization of a Gyroid-Based Metamaterial by Compression Testing by Andrea Ciula, Gianluca Rubino, Pierluigi Fanelli

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A feasibility study on non-invasive and non-contact jugular venous pulse measurement using 60 GHz FMCW radar by Shatabdi Das, Hadi Afsharan, Girish Dwivedi, Coen Arrow, Omid Kavehei

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Effect of activating additives on the cold sintering process of (MnFeCoNiCu)₃O₄ high-entropy ceramics by A. V. Smirnov, Yu. D. Ivakin, M. V. Kornyushin, A. A. Kholodkova, A. A. Vasin, S. Ayudinyan, H. V. Kirakosyan

“…To obtain experimental data on the effect of activating additive type on the cold sintering process of (MnFeCoNiCu)3O4 high-entropy ceramic. …”
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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT by Thabit Sultan Mohammed, Awni Ismail Sultan, Khattab M. Ali Alheeti, Karim Mohammed Aljebory, Hasan Ismail Sultan, Muzhir Shaban Al-Ani

“…The proposed method is based on adopting a combination of Singular Value Decomposition (SVD), and Discrete Wavelet Transform (DWT). …”
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Adaptive multi-view learning method for enhanced drug repurposing using chemical-induced transcriptional profiles, knowledge graphs, and large language models by Yudong Yan, Yinqi Yang, Zhuohao Tong, Yu Wang, Fan Yang, Zupeng Pan, Chuan Liu, Mingze Bai, Yongfang Xie, Yuefei Li, Kunxian Shu, Yinghong Li

“…To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. …”
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AUTOMATION OF ACCOUNTING THE NUMERIC PARTS AND UNITS AT MANUFACTURING ENTERPRISES by E. S. Vasev, S. V. Kashin

“…The separation of basic and summary data among different tabs is performed in order to simplify the work of personnel and minimise the human factor associated with the processing of disparate data. …”
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Economic Policy and Analysis of the Draft Forcast by the Ministry of Economic Development of the Russian Federation Up to 2024 by R. S. Dzarasov, G. P. Zhuravleva, E. V. Aleksandrova

“…It is a combination of modes that are used for comprehensive characteristic of phenomenon and process development through digital data. Nature of set tasks determined the necessity to apply such method as the archive search and the comparative method.…”
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Adaptive Fusion of LiDAR Features for 3D Object Detection in Autonomous Driving by Mingrui Wang, Dongjie Li, Josep R. Casas, Javier Ruiz-Hidalgo

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Implementation and performance analysis of real time PPP software based on GAMP by Liu Ya, He Wentao, Zhang Jie

“…Aiming at the problem that GAMP software lacks the function of real-time precise point positioning at this stage, this paper analyzes and studies the principle and process of the post precise point positioning algorithm in the software, compares the different data sources and processing methods of the real-time and post precise point positioning, and combines with the processing method of existing real-time data processing software. …”
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«New Normal» of Students’ Educational Practices in the Coronavirus Pandemic Reality by E. Yu. Kostina, N. A. Orlova

“…Search for solutions depends to a large extent on the success of interaction and cooperation between the direct participants of educational process. Main method of data collection is semi-structured interviews; field works have been carried out in spring of 2020 and 2021. …”
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Causes of unsatisfactory quality of follow-up of patients with arterial hypertension by district therapists by A. E. Manoilov, A. Yu. Markina, O. P. Malykhina

“…Material and methods. The study was performed according to the results of 2022. …”
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Improving the efficiency of the formation of professional competencies Masters in “Information Security” based on the use o CASE-technologies by A. V. Gavrilov, V. A. Sizov

“…The paper proposes a method to justify the choice of the main directions for the protection of enterprise information based on the analysis of its business processes. …”
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COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS by A. V. Khizhniak

“…For research the mathematical apparatus of the theory of random functions and simulation with subsequent statistical data processing are used. It is shown that the probability of disruption, characterized by the ratio of the correlation coefficients of two fragments of images, one of which contains the desired object, and the second not, depends on both the correlation coefficients and the values of their mean square deviations. …”
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Use of Artificial Intelligence in the Digital Economy by N. A. Olimov

“…The result of the study was the generalization that the competent implementation of AI contributes to increasing the competitiveness of countries, accelerating innovation, and sustainable economic growth in the context of global digitalization. Materials and methods. There are several simple methods that can be used in Python to perform market analysis using artificial intelligence, including data analysis using libraries such as pandas for data processing and scikit-learn for machine learning. …”
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Novel methods for selecting stock portfolio in conditions of uncertainty and forecasting with RR-DEA, ANFIS, FGP: A case study of Tehran stock exchange. by Mohammadmahdi Taheri, Amir Azizi, Emran Mohammadi, Abbas Saghaei

“…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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Heterologous Anti-Rabies Immunoglobulin - Results of the First Five Years of Production by E. G. Abramova, A. K. Nikiforov, O. A. Lobovikova, S. A. Eremin, Yu. G. Vasin, T. A. Mikheeva, I. M. Zhulidov, L. N. Minaeva, M. V. Galkina, L. V. Savitskaya, A. G. Selezneva, R. A. Svintsov, S. V. Generalov, I. V. Shoulgina

“…Modern high-technology methods to control the baromembrane processes used in immunoglobulin purification are highlighted.…”
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Simple method for extracting the seasonal signals of photochemical reflectance index and normalized difference vegetation index measured using a spectral reflectance sensor by Jae-Hyun RYU, Dohyeok OH, Jaeil CHO

“…Second, the experimental study of threshold criteria with respect to meteorological variables (i.e., insolation, cloudiness, sunshine duration, and precipitation) was conducted, and sunshine duration was the most useful one for excluding distorted values of the vegetation indices. After data processing based on sunshine duration, the R2 values between the measured vegetation indices and the extracted seasonal signals of vegetation indices increased by approximately 0.002–0.004 (NDVI) and 0.065–0.298 (PRI) on the three crops, and the seasonal signals of vegetation indices became noticeably improved. …”
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Fractal-wave nature of the geological environment of coal formation at Donbas by К.А. Безручко, Л.І. Пимоненко, А.А. Каргаполов, В.Г. Барановський

“…The obtained data attest to the action of fractal-wave processes, which, being superpositioned on the resulting deposits, formed a complex structure of the sedimentary thickness of Donbas. …”
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