Search Results - image processing methods

A White Dwarf Catalog from LAMOST DR11 Using Deep Learning by Shengwen Zhang, Yanxia Zhang, Chao Liu

“…It involves the development of convolutional neural networks for processing 1D spectral data, alongside residual neural networks for handling 2D spectral images. …”
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YOLO-WTB: Improved YOLOv12n Model for Detecting Small Damage of Wind Turbine Blades From Aerial Imagery by Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan

“…Although predictive maintenance methods based on machine learning, deep learning, and traditional visual inspection have been widely studied, detecting small faults from aerial images remains a major challenge. …”
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TMTS: A Physics-Based Turbulence Mitigation Network Guided by Turbulence Signatures for Satellite Video by Jie Yin, Tao Sun, Xiao Zhang, Guorong Zhang, Xue Wan, Jianjun He

“…While existing turbulence mitigation methods for long-range imaging demonstrate partial success, they exhibit limited generalizability and interpretability in large-scale satellite scenarios. …”
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A new theory of tree sap flow by András Török, Anikó Anna Hajduné Kubovje, Balázs Hardi, Ralf Bergmann, Krisztián Szigeti, Domokos Máthé, Imre Hegedüs

“…At night, when evaporation stops, a thermal equilibration process is triggered, restoring the pipe’s original cross-section. …”
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Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints by Xiaoling Ge, Zipeng Fu, Xuelian Yu, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu

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Assessment of the Benefits of the ISO/IEC 42001 AI Management System: Insights from Selected Brazilian Logistics Experts: An Empirical Study by Alanna Oeiras da Costa Mazzinghy, Raurielly Maria dos Santos e Silva, Reimison Moreira Fernandes, Edney Dias Batista, Ailson Renan Santos Picanço, Nathália Jucá Monteiro, Daniel Meireles de Amorim, Brenda de Farias Oliveira Cardoso, Jonhatan Magno Norte da Silva, Vitor William Batista Martins

“…The analysis used the TOPSIS method to identify and rank the most decisive benefits. (3) Results: Of the 15 benefits mapped in the literature, the professionals attributed the greatest importance to customer satisfaction, operational efficiency, incentives for innovation, and improving the company’s image and competitive advantage. …”
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From Lemmings in the Internet to New Valiant Protesters: Dysphemism shkolota and the representati on of adolescent participati on in the public sphere by I. V. Prus

“…In considering the semantic boundaries and the context of shkolota in publications and comments on the LiveJournal platform and correlating them with the socio-political context of Russia, I describe the process of transformation of the dysphemism as a simultaneous expansion of adolescent participation visibility in the public sphere and the deconstruction of the image of the passive, defenseless (primarily against adult manipulation) and dangerous adolescent in public rhetoric. …”
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Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions by Marcelo dos Santos Póvoas, Jéssica Freire Moreira, Severino Virgínio Martins Neto, Carlos Antonio da Silva Carvalho, Bruno Santos Cezario, André Luís Azevedo Guedes, Gilson Brito Alves Lima

“…This study aims to provide a comprehensive overview of the application of artificial intelligence (AI) methods to solve real-world problems in the oil and gas sector. …”
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ANALYSIS OF THE DIAGNOSTIC VALUE OF MAGNETIC RESONANCE COMPUTER TOMOGRAPHY AND POSITRON EMISSION COMPUTER TOMOGRAPHY WITH 18F-FDG IN IDENTIFICATION OF SPINAL AND PELVIC BONE METAST... by A. V. Laryukov, R. Sh. Hasanov, Z. A. Afanasyeva, E. K. Laryukova

“…The treatment outcomes for non-small cell lung cancer (NSCLC) depend on the tumor stage and treatment strategy. The imaging techniques play a significant role in the diagnosis, staging and choice of appropriate treatment for NSCLC.Purpose of the study: сomparison of the diagnostic capabilities of magnetic resonance imaging (MR) and positron emission computed tomography to select the optimal approaches to early detection of spinal and pelvic bone metastases.Material and Methods. …”
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Designing a Platform for Additional Subject Training of Schoolchildren Based on Professional Requests of Teachers by P. S. Lomasko, A. L. Simonova, D. A. Barkhatova, L. B. Khegay

“…It seems that such an environment will increase the innovative potential of the Krasnoyarsk region in the field of general education, positively affect the image and competitiveness among other regions of the Russian Federation.Materials and methods. …”
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Transfer learning with class activation maps in compositions driving plaque classification in carotid ultrasound by Georgia D. Liapi, Christos P. Loizou, Maura Griffin, Constantinos S. Pattichis, Constantinos S. Pattichis, Andrew Nicolaides, Efthyvoulos Kyriacou

“…In this study, the objective was to assess whether class activations maps (CAMs) can reveal which U/S grayscale-(GS)-based plaque compositions (lipid cores, fibrous content, collagen, and/or calcified areas) influence the model's understanding of the ASY and SY cases.MethodsWe used Xception via transfer learning, as a base for feature extraction (all layers frozen), whose output we fed into a new dense layer, followed by a new classification layer, which we trained with standardized B-mode U/S longitudinal plaque images. …”
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Quantitative MRI relaxometry in brain tumor needle biopsies: Multimodal comparison with tissue fluorescence, radiology, and neuropathology. by Elisabeth Klint, Anders Tisell, Ida Blystad, Martin Hallbeck, Teresa Nordin, Jan Hillman, Johan Richter, Karin Wårdell

“…<h4>Methods</h4>Multi-dimensional multi-echo relaxometry data (2x6 min) was acquired in addition to the clinical imaging protocol. …”
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STRATEGI BRANDING DAN KONSEP PUBLIKASI BERBASIS LOCAL TOURISM DI ERA 4.0 (Studi kasus media sosial dan peran Desain Komunikasi visual) by Eko Darmawanto, Kukuh Dwi Wijanarko

“…Branding is introducing an image of both services and physical products, the process taken must have a strategy and preparation of measurable time targets. …”
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Department of a University and Social Sphere of the Region by O. E. Shapovalova, N. V. Shklyar

“…Its quality largely determines the image of the institution of higher education, its attractiveness for potential students. …”
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Impact of cold exposure on shift working seafood handlers in Northern Norway: a comparative analysis across work shifts by Phong K. T. Chau, Tiril Schjølberg, Mina Baarnes Eriksen, Anne-Mari Gjestvang Moe, Pål Graff, Fred Haugen

“…Abstract Objective This study aimed to investigate the impact of occupational thermal exposure on shift workers, specifically whether cold exposure elicits distinct physiological responses and thermoregulatory recovery across different tasks and shift types. Methods Observational study at two factories processing prawns in Northern Norway in which 32 shift-working seafood handlers with different task responsibilities were followed for a single shift (morning, evening, night). …”
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Capabilities of breast sonotomography (automated breast volume sonography) in the evaluation of the glandular structure of the breast in the context of its cancer risk by V. E. Gazhonova, M. P. Efremova, E. M. Bachurina, E. M. Khlyustina, S. B. Potkin

“…The international breast imaging and reporting data system was used to standardize detected breast masses.Results. …”
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Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Diagnostics of ophthalmology patients is associated with a significant amount of medical data that can be used for further software processing. By using of machine learning methods, it’s possible to find out, identify and count almost any pathological signs of diseases by analyzing medical images, clinical and laboratory data. …”
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Diagnosis of sphincter of Oddi dysfunction in patients with postcholecystectomy syndrome from hepatobiliary scintigraphic findings by M. V. Repin, V. Yu. Mikryukov, T. E. Vagner, N. M. Pleshkova

“…Objective: to diagnose and estimate the clinical value of postcholecystectomy sphincter of Oddi dysfunction in patients.Material and methods. Examinations were made in 100 postcholecystectomy patients without signs of cholestasis; of them 14 postpapillotomy patients formed a comparison group. …”
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A Hybrid Artificial Intelligence Approach for Down Syndrome Risk Prediction in First Trimester Screening by Emre Yalçın, Serpil Aslan, Mesut Toğaçar, Süleyman Cansun Demir

“…<b>Background/Objectives:</b> The aim of this study is to develop a hybrid artificial intelligence (AI) approach to improve the accuracy, efficiency, and reliability of Down Syndrome (DS) risk prediction during first trimester prenatal screening. The proposed method transforms one-dimensional (1D) patient data—including features such as nuchal translucency (NT), human chorionic gonadotropin (hCG), and pregnancy-associated plasma protein A (PAPP-A)—into two-dimensional (2D) Aztec barcode images, enabling advanced feature extraction using transformer-based deep learning models. …”
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The global academic distribution and changes in research hotspots of artificial intelligence in inflammatory bowel disease since 2000 by Likang Xu, Jinzhao Zou, Chao Sun, Gong Chen, Sujun Gao, Sujun Gao

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