Enhancing Real Estate Listings Through Image Classification and Enhancement: A Comparative Study by Eyüp Tolunay Küp, Melih Sözdinler, Ali Hakan Işık, Yalçın Doksanbir, Gökhan Akpınar

“…This method assessed the impact of improved image quality on classification accuracy and the overall attractiveness of property listings. …”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…The X-ray tomography method has several advantages, including its non-destructiveness and the ability to visualize the rock skeleton and pore space in three dimensions. …”
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Spectral OCT Angiography in the Assessment of Biomarkers of Diabetic Macular Edema in Navigation Laser Treatment by P. L. Volodin, E. V. Ivanova, E. Iu. Polyakova, A. V. Fomin

“…Purpose — to study visualized biomarkers before and after navigation laser treatment in patients with diabetic macular edema (DMO) using optical coherence tomography-angiography (OCT-A).Methods. 85 patients (85 eyes) with focal DMO were under observation. …”
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Investigating the Design and Manufacture of a Silicone Texture Pad in a Lumbosacral Orthosis for a Patient With Chronic Low Back Pain by Bahareh Delshad, Mokhtar Arazpour, Akbar Biglarian, Seyed Reza Mousavi, Mohammad Ali Mardani

“…The patient’s pain and functional disability were measured by the visual analog scale (VAS) and Oswestry disability index (ODI) before using the belt, and after 6 weeks of using it, her satisfaction with the treatment method was recorded. …”
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An evaluation methodology for machine learning-based tandem mass spectra similarity prediction by Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, Mingxun Wang

“…Machine learning (ML) approaches have emerged as a promising technique to predict structural similarity from MS/MS that may surpass the current state-of-the-art algorithmic methods. However, the comparison between these different ML methods remains a challenge because there is a lack of standardization to benchmark, evaluate, and compare MS/MS similarity methods, and there are no methods that address data leakage between training and test data in order to analyze model generalizability. …”
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The Effectiveness of PCR in Diagnosis of Fungal Keratitis by G. I. Krichevskaya, L. A. Kovaleva, I. D. Zyurnyayeva, P. V. Makarov, A. E. Andryushin

“…Fungi implicated in mycotic keratitis include different species. Conventional methods for the diagnosis of fungal keratitis include staining of corneal scarpings, culture medium (Sabouraud agar) for isolating fungi.Purpose. …”
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Explainable Artificial Intelligence in Radiological Cardiovascular Imaging—A Systematic Review by Matteo Haupt, Martin H. Maurer, Rohit Philip Thomas

“…Grad-CAM was the most frequently employed XAI method, followed by SHAP. Most studies used saliency-based techniques to generate visual explanations of model predictions. …”
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Femtolaser refractive autokeratoplastic: first results and prospects by H. V. Sitnik, A. Yu. Slonimsky, Yu. B. Slonimsky

“…Development of a new method of autokeratoplasty using of femtosecond laser in patients with advanced keratoconus and evaluation of early results of treatment.Patients and methods. 17 patients with advanced stable keratokonus were included in the study (15 men, 2 women) mean age 33±8.4 years old. …”
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Landscape sightline analysis on height control of land around architectural heritage sites: Nanshan Temple and Nanping Academy in Zhangzhou, China by Lina Yan, Liang Zheng, Yile Chen

“…This study uses the geospatial technology landscape sight analysis method to reveal the impact of landscape sight on the spatial distribution of mountainous cities with cultural landmarks and, at the same time, provides a new method and strategy for the spatial planning of mountainous cities.…”
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RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios by Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper

“…We demonstrate that this method is an effective alternative to traditional deep learning methods for image translation such as CNNs and GANs, particularly in data-scarce situations. …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…Methods of mathematical statistics, simulation modeling, theory of random processes and control theory are used in this work. …”
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Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans by Wenyu Xing, Yanping Yang, Yanan Zhou, Tao Jiang, Yifang Li, Yuanlin Song, Dongni Hou, Dean Ta

“…A deep learning-based model to automatically detect, segment, and quantify the region of cavity lesion on CT scans has potential in clinical diagnosis, monitoring, and treatment efficacy assessment. Methods: A weakly-supervised deep learning-based method named CSA2-ResNet was proposed to quantitatively characterize cavity lesions in this paper. …”
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Percutaneous vertebroplasty by two-step fluoroscopy: a treatment for osteoporotic compression fractures of thoracic vertebrae in older adults by Jianzhong Ge, Kuisheng Chen, Peng Xu, Zhiling Zhang, Kai Wang, Tao Zhang, Xin Dong, Zhigang Kang, Yizhou Ge, Feng Chang

“…This method stand as an effective approach for managing osteoporotic compression fractures of the thoracic vertebrae in elderly.…”
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Inter-session Reliability of Magnetic Nerve Stimulation and Within-Session comparison to Electrical Nerve Stimulation in Evaluating Neuromuscular Function of Knee Extensor Muscles by Romina Ledergerber, Martin Keller

“… Introduction Quantifying neural activation is crucial for evaluating rehabilitation progress and adaptations following resistance training. A commonly used method for assessing voluntary activation (VA) is the Interpolated Twitch Technique with electrical nerve stimulation (ENS). …”
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Studying the Application of SCAMPER Creative Thinking Technique in Art Education (Case Study: Teaching Printmaking Techniques) by Azade Sadat Majdzadeh, Ali Khaksar

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FINANCIAL AND LEGAL ASPECTS OF ECONOMIC SECURITY OF THE STATE by I. Nastasiak, O. Baik, O. Zaiats, N. Mykhalitska, M. Veresklia

“…In the course of research, the general scientific and theoretical methods have been applied. These include systemic analysis (for defining the object and the subject of research); abstract and logical method (for preparing the scientifically justified generalizations and conclusions about the essence, the mechanism of provisioning financial security of the state, and the factors that designate it); graphic method (for representing visually the mechanism of ensuring financial security of the state). …”
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Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution by Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng

“…Extensive experimental results on three hyperspectral datasets demonstrate the superior performance of our method, outperforming comparison methods both in quantitative metrics and visual performance.…”
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The Effect of Kinesiology Taping on Posture, Balance, and Gait in Patients Suffering from Low Back Pain by Józef Alphons Opara, Tomasz Fiałkowski

“…LBP treatment should be comprehensive, including prevention, education, diagnosis, and various treatment methods. Management can be divided into pharmacological and non-pharmacological. …”
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A hybrid zero-reference and dehazing network for joint low-light underground image enhancement by Qing Du, Shihao Zhang, Zhipeng Wang, Jincheng Liang, Shijiao Yang

“…Extensive experimental results demonstrate that the Z-DCE-DNet method produces visually superior enhanced images, and comparative analyses of multiple object detectors reveal that the enhanced images lead to improved detection outcomes.…”
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A combination of recombinase polymerase amplification with CRISPR technology rapidly detects goose parvovirus with high accuracy and sensitivity by Xiuqin Chen, Shizhong Zhang, Su Lin, Shao Wang, Meiqing Huang, Shaoying Chen, Shilong Chen

“…BackgroundGoose parvovirus (GPV) poses a significant threat to the waterfowl industry, necessitating reliable detection methods. However, conventional techniques are often time-consuming, equipment-dependent, or lack sufficient sensitivity for detecting early-stage infection. …”
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