Search Results - image processing methods

USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

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Potential of diagnostic electron microscopy of calcification, pathological neovascularization and elastolysis in combination with phenotyping of cell populations in large arteries by R. A. Mukhamadiyarov, K. Yu. Klyshnikov, V. A. Koshelev, A. G. Kutikhin

“…To determine the potential of diagnostic electron microscopy of intraplaque processes (severity of lipid damage, fibrous cap thickness and condition, severity of pathological neovascularization, presence, nature and severity of calcification, ratio and distribution of various cell populations).Material and methods. …”
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Modeling the involution of microwave liver ablation zones by William B. N. Weston, Owen A. White, Ruby Callister, Nicos Fotiadis, Joshua Shur, S. Nahum Goldberg, Edward W. Johnston

“…This study develops mathematical models to characterize AZ involution and identifies key predictors influencing its dynamics.Materials and methods Fifty-four patients (mean age 61 ± 10 years (standard deviation), 33 men) underwent microwave liver ablation (MWA) of 76 liver tumors and follow-up contrast enhanced CT (CECT) imaging in this retrospective single-center cohort study. …”
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THE HOCKEY COLLECTIVE IDENTITY: COGNITIVE AND PSYCHOLOGICAL APPROACHES TO THE DISCOURSE ANALYSIS (Verbal and Multimodal Aspects) by Tetiana M. Suvorova

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HISTORIOGRAPHY OF THE RESEARCH OF PATRIOTIC EDUCATION IN SCHOOLS OF UKRAINE IN THE SECOND HALF OF THE 20th – EARLY 21st CENTURY by Vitalii Y. Kulchytskyi

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Using Artificial Intelligence (AI) in Financial Decision-Making in the Agricultural and Rural Economy by Liliana Anghel

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Peculiarities of application of the CT densitometric indices in the treatment of perforative pulmonary tuberculosis by E. M. Mayetnyi

“…Application of densitometric indices of CT permits to estimate the inflammatory process course in pathologically changed pulmonary parenchyma, to reveal in it the emphysematic processes and degree of atelectasis in the blocked parts.…”
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APPLICATION OF ATOMIC-POWER MICROSCOPY AT RESEARCH OF BIOPHYSICAL PROPERTIES OF RED BLOOD CELLS MEMBRANES by Eugene Aleksandrovich Melchenko

“…An Atomic-power microscopy (АРМ) is one of methods of complex research of surfaces of different objects in micro- and nanometer range of sizes. …”
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UAV-based estimation of post-sowing rice plant density using RGB imagery and deep learning across multiple altitudes by Trong Hieu Luu, Thanh Tam Nguyen, Quang Hieu Ngo, Huu Cuong Nguyen, Phan Nguyen Ky Phuc

“…Notably, under favorable imaging conditions, our findings indicate that a 6-m flight altitude yields optimal results, achieving a high degree of accuracy with rice plant density estimates that closely align with those obtained through traditional ground-based methods. …”
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Ves-GAN: Unsupervised Vessel-Targeted Low-Dose Coronary Computed Tomography Angiography Denoising Framework by Xinyuan Xiang, Jiayue Li, Yan Yi, Yining Wang, Sixing Yin, Xiaohe Chen

“…Existing denoising methods, such as supervised deep learning models, require paired datasets and rely on noise assumptions. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…Machine learning techniques, which use data-driven methodologies, provide intriguing possibilities for reaching this aim. These methods involve the analysis of various types of data, including clinical assessments, imaging scans, and genetic markers, to develop accurate predictive models. …”
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Vascular manifestations of Behcet's disease by Regina Georgiyeva Goloeva, Z S Alekberova, E S Mach, V E Tankovsky, L A Kalashnikova

“…The data were statistically processed by the programs Statistica 6.0 (Statsoft, USA) and EpiInfo 5.0 recommended by the WHO. …”
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The spatial glaciological data infrastructure by T. Y. Khromova, A. A. Medvedev

“…Substantial and rapid environmental changes require developing methods which could be able to manage huge information flows, to optimize processes of the data acquisition, storage, analysis, and exchange. …”
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Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…Classifying ice crystal shapes can improve our understanding of in-cloud conditions and these processes. Existing classification methods rely on features such as the aspect ratio of ice crystals, environmental temperature, and so on, which bring high instability to the classification performance, or employ supervised machine learning algorithms that heavily rely on human labeling. …”
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PECULIARITIES OF ENGLISH PROFESSIONAL TRAINING OF FUTURE AVIATION SPECIALISTS IN FLIGHT HIGHER ESTABLISHMENTS by Inha V. Demchenko

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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

“…Monitoring glacier calving fronts is critical for understanding ice dynamics and their response to climate change. However, existing methods of mapping ice calving front face limitations in temporal resolution and positional accuracy, hindering effective characterizations of rapid calving processes. …”
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Star photometry with all-sky cameras to retrieve aerosol optical depth at nighttime by R. Román, R. Román, D. González-Fernández, D. González-Fernández, J. C. Antuña-Sánchez, J. C. Antuña-Sánchez, C. Herrero del Barrio, C. Herrero del Barrio, S. Herrero-Anta, S. Herrero-Anta, Á. Barreto, Á. Barreto, V. E. Cachorro, V. E. Cachorro, L. Doppler, R. González, R. González, C. Ritter, C. Ritter, D. Mateos, D. Mateos, N. Kouremeti, G. Copes, A. Calle, A. Calle, M. J. Granados-Muñoz, M. J. Granados-Muñoz, C. Toledano, C. Toledano, Á. M. de Frutos, Á. M. de Frutos

“…This work proposes a novel methodology to extract the starlight signal from the raw data from all-sky cameras and convert it into AOD values. This process consists of the following steps: removing the background image, selecting the pixels, and extracting the signal for each star from a predefined list of 56 stars; performing in situ Langley calibration of the instruments and retrieving the total optical depth (TOD); calculating the effective wavelength for each camera channel; deriving the AOD by subtracting the gas contribution to TOD; and averaging, cloud-screening, and quality-assuring the AOD time series. …”
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New energy effect in non-cylindrical domains with a thermally insulated moving boundary by E. M. Kartashov

“…Methods and theorems of operational calculus, Riemann–Mellin contour integrals are used in calculating the originals of complex images with two branch points. …”
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Robust Multi-Input Multi-Output Analysis for Crop Row Segmentation and Furrow Line Detection in Diverse Agricultural Fields by Muhammad Ibrahim Zain Ul Abideen, Dewa Made Sri Arsa, Talha Ilyas, Hyunggi Jo, Sang Cheol Kim, Hyongsuk Kim

“…Our algorithm utilizes RGB and depth images, processed through a dual encoder that combines their features. …”
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Microplastics in food products: Prevalence, artificial intelligence based detection, and potential health impacts on humans by M. Amin Mir, Muhammad Azhar Ali Khan, Bimal Krishna Banik, Syed M. Hasnain, Lina Alzayer, K. Andrews, Sani I. Abba

“…The research also highlights the necessity of better detection methods, like multispectral imaging and AI-based algorithms, to increase the precision and effectiveness of microplastic identification in food. …”
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