Didactic potential of digital technologies in linguistic education of university students by Olga M. Osiyanova, Yulia S. Kondrashina

“…Mathematical methods were used to track the formation of students' linguistic competence. …”
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ABDviaMSIFAT: Abnormal Crowd Behavior Detection Utilizing a Multi-Source Information Fusion Technique by Ali Ahmad Hamid, S. Amirhassan Monadjemi, Bijan Shoushtarian

“…Our approach exceeds conventional visual and motion-centric methods, enabling a more comprehensive grasp of abnormal behaviors. …”
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Comparative Efficacy of Ultrasound-Guided Transversalis Fascia Plane Block Versus Quadratus Lumborum Block for Postoperative Analgesia in Inguinal Hernia Repair by P Naveenkumar, Naveena Pandian, Shanu Shanmugasundaram, B. Arun Kumar, Panneerselvam Periasamy

“…The primary outcome measure was the time to first rescue analgesia post-block, with secondary outcomes including total analgesic consumption and visual analog scale scores. Statistical analysis was performed using appropriate methods, with a P value < 0.05 considered significant. …”
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Empowering multilingualism in children with autism: Insights from parents and EFL teachers by Mohamed Amr M., Shaaban Tahany S., Jmaiel Hassen Alazhar

“…The study showed that incorporating visual AIDS, repetition, and modeling into EFL instruction had positive outcomes for children with ASD. …”
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Estimation of Missing DICOM Windowing Parameters in High-Dynamic-Range Radiographs Using Deep Learning by Mateja Napravnik, Natali Bakotić, Franko Hržić, Damir Miletić, Ivan Štajduhar

“…Although histogram-based methods showed satisfactory performance, especially scaling through identifying the peaks in the pixel value histogram, deep learning-based methods were better at selectively preserving clinically relevant image areas while removing background noise.…”
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Innovative Road Maintenance: Leveraging Smart Technologies for Local Infrastructure by Laura Fabiana Jáuregui Gallegos, Rubén Gamarra Tuco, Alain Jorge Espinoza Vigil

“…Both methods classified the Present Serviceability Index (PSI) as good, validating the accuracy of Roadroid. …”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The retinal pathology recognition system is based on a trained neural network VGG16 (developed by a visual geometry group of Oxford University).Results. …”
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Assessing pain and analgesic consumption after the use of Kinesio tape in web strip technique comparing with cryotherapy after impacted third molar extraction: a randomized clinica... by Belal Alhourani, Mazen Zenati, Ahmad Alnada

“…Abstract Background and objectives There are various methods to improve the patient’s quality of life and alleviate complications after surgical extraction of the lower third molar. …”
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Real-Time Coronary Artery Dominance Classification from Angiographic Images Using Advanced Deep Video Architectures by Hasan Ali Akyürek

“…Traditional classification methods rely on the manual visual interpretation of coronary angiograms. …”
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A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image by Sekine Asadi Amiri, Hamid Hassanpour

“…Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or high-level features. …”
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Bridging The Digital Divide: Methodological Strategies For Conducting Remote Urban Research by Sana Ahrar, Alexandra Staub

“…While extensive studies have been conducted on both analog and digital data collection methods, few have focused on adapting these approaches to include digitally marginalized groups in architecture and urban studies. …”
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All-ceramic restorations: A review of the literature by Abdulhadi Warreth, Yaser Elkareimi

“…Objectives: Ceramics can simulate the visual character of the tooth substance successfully and are biocompatible materials. …”
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Damage identification based on the inner product matrix and parallel convolution neural network for frame structure by Yingying He, Ji Feng, Baogang Sun, Feixue Wang, Likai Zhang, Jidi Jiang

“…The results demonstrate that the IPM-PCNN model can automatically extract relevant features from the signals to accurately identify structural damage, achieving an accuracy of 96.60% on the test set, outperforming machine learning methods in performance. Furthermore, the internal inference processes of these methods are explored and visualized to provide insights into their decision-making mechanisms.…”
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…Abstract In recent years, Cutting-edge machine learning algorithms and systems in Industry 4.0 enhance quality control and increase production efficiency. The visual perception algorithms have become extensively utilized in surface defect detection, progressively replacing manual inspection methods. …”
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Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. While existing methods offer noise reduction, they often suffer from limitations like edge and texture loss, poor smoothness, and the need for manual parameter tuning.MethodsThis study introduces a novel adaptive wavelet thresholding technique for noise reduction in brain MRI. …”
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Identification of short circuits in electronic boards using electrical impedance spectroscopy by Yves Santos Borges, Pedro Bertemes Filho

“…Traditional fault detection methods include visual inspections, automated optical inspection (AOI), in-circuit testing (ICT), and functional testing. …”
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Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision by Fangzheng Wei, Zhiyong Guo, Qiaoli Han, Wenkai Qi

“…Subsequently, combining image processing techniques and three-dimensional reconstruction methods, the geometric shape of the ice is modeled, and its volume is estimated using numerical integration methods. …”
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Potential of Graphic Organizers in Developing Communicative Competence in Learning Russian as a Foreign Language by Sharofat T. Chorieva

“…The study involved 448 respondents, students of grades 9–10 of secondary comprehensive schools with the Uzbek language of instruction in the Tashkent, Namangan and Surkhandarya regions of the Republic of Uzbekistan. Methods. We used the methods of theoretical analysis of scientific literature, as well as the methods of quantitative and qualitative analysis. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…Extensive experimental results consistently show that SBCS-Net outperforms many mainstream methods in both reconstruction accuracy and visual quality. …”
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A vision-language model for predicting potential distribution land of soybean double cropping by Bei Gao, Yuefeng Liu, Yanli Li, Hongmei Li, Meirong Li, Wenli He

“…Its efficiency is further highlighted by reduced computation a demands compared to baseline methods. AgriCLIP’s ability to seamlessly integrate visual and contextual information not only advances prediction accuracy but also provides interpretable insights for agricultural planning and climate adaptation strategies, offering a robust and scalable solution for addressing the challenges of food security in the context of global climate change.…”
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