Information technologies for the study of lexical and grammatical norms in the course “Ukrainian language for professional purposes” by L. Radomska, M. Moshnoriz

“…This generation is characterized by a number of features that the teacher should consider. In particular, the article defines teaching methods that address the educational needs of a modern student. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and material properties correlate. …”
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Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution by Jialu Sui, Xianping Ma, Xiaokang Zhang, Man-On Pun, Hao Wu

“…In addition, a residual feature fusion strategy establishes information exchange between the two decoders at multiple levels. …”
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IOF-Tracker: A Two-Stage Multiple Targets Tracking Method Using Spatial-Temporal Fusion Algorithm by Hongbin Liu, Yongze Zhao, Peng Dong, Xiuyi Guo, Yilin Wang

“…However, issues such as occlusions, directional changes, or shape alterations can cause appearance variations, leading to detection and matching problems that in turn result in frequent ID switches. …”
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The Charophytes (Characeae, Charophyceae) of the Caucasus by Roman E. Romanov, Liubov V. Zhakova, Andrey N. Efremov, Galina Yu. Konechnaya, Olga N. Boldina, Dmitry F. Afanasyev, Tatiana V. Akatova, Denis G. Melnikov

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A quantitative evaluation method of laser treatment efficacy for pigmentary dermatosis based on image segmentation technology by Haopu Jian, Qi Chen, Youjun Yu, Cheng Wang, Peiru Wang, Xiuli Wang

“…Images of the tattoo models were captured before and after laser treatment, and feature extraction was conducted to quantify the tattooed area and pigment gradation. …”
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A Method for the 3D Reconstruction of Landscape Trees in the Leafless Stage by Jiaqi Li, Qingqing Huang, Xin Wang, Benye Xi, Jie Duan, Hang Yin, Lingya Li

“…Finally, the 3D reconstructed point cloud was used to generate the QSM and extract tree feature parameters to verify the accuracy of the reconstructed model. …”
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MEFSR-GAN: A Multi-Exposure Feedback and Super-Resolution Multitask Network via Generative Adversarial Networks by Sibo Yu, Kun Wu, Guang Zhang, Wanhong Yan, Xiaodong Wang, Chen Tao

“…Nonetheless, these two problems are often researched in separate directions. …”
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From Stationary to Nonstationary UAVs: Deep-Learning-Based Method for Vehicle Speed Estimation by Muhammad Waqas Ahmed, Muhammad Adnan, Muhammad Ahmed, Davy Janssens, Geert Wets, Afzal Ahmed, Wim Ectors

“…The study also discusses the associated problems and constraints with nonstationary drone footage as input and proposes strategies for minimizing noise and inaccuracies. …”
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Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm by Faris Kateb, Mahmoud Ragab, Felwa Abukhodair, Omar Ahmed Abdulkader, Louai A. Maghrabi, Sami Saeed Binyamin, Mohammed Khaled Al-Hanawi

“…The bacterial foraging optimization algorithm (BFOA) method is used for feature extraction. Moreover, a convolutional neural network with long short-term memory (CNN-LSTM-Attention) technique is used for disease detection and classification. …”
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Evaluating the impact of undergraduate ophthalmology education on medical students’ competency in eye care: a cross-sectional study in Jordan by Rami Al-Omari, Khayry Al-Shami, Almu’atasim Khamees, Saja Karaja, Danya Radaideah, Omamah Shlool, Nedalaldeen Alnajadat, Ameera Basim Issa Etoom, Manar Al-Shami

“…Abstract Background Ophthalmology is a crucial aspect of primary care, often featuring prominently in both general practice and emergency settings. …”
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FANTASY AND FANTASMAGORY IN THE MODERN UKRAINIAN DRAMATURGY (CONFLICT AND CHARACTER) by Nataliya L. Yuhan

“…Kovalenko, “Mirror” the world of fantastic creatures and common things is projected into problems of human relationships (interpersonal and interpersonal). …”
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Targeted nano-energetic material exploration through active learning algorithm implementation by Leandro Carreira, Lea Pillemont, Yasser Sami, Nicolas Richard, Alain Esteve, Matthieu Jonckheere, Carole Rossi

“…But more generally, this research represents a significant advancement for large-scale problems in energetic materials science and engineering, where predicting the effect of feature modification is desired but limited simulations or experiments can be afforded due to their high cost.…”
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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…However, deep learning object detection has a strong dependence on annotated datasets, and there are problems such as poor model interpretability and computational complexity. …”
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Enhanced Panoramic Radiograph-Based Tooth Segmentation and Identification Using an Attention Gate-Based Encoder–Decoder Network by Salih Taha Alperen Özçelik, Hüseyin Üzen, Abdulkadir Şengür, Hüseyin Fırat, Muammer Türkoğlu, Adalet Çelebi, Sema Gül, Nebras M. Sobahi

“…Background: Dental disorders are one of the most important health problems, affecting billions of people all over the world. …”
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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…The suggested complex criterion to assess the level of the aviation security screener qualification allows to evaluate his or her competency taking into account not only the average level qualification, but its possible variance. The important feature of implementing IRT models logistic functions is the necessity of preliminary selection of test images. …”
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Polarimetric SAR Ship Detection Using Context Aggregation Network Enhanced by Local and Edge Component Characteristics by Canbin Hu, Hongyun Chen, Xiaokun Sun, Fei Ma

“…The traditional constant false alarm rate (CFAR) detectors face sea clutter modeling and parameter estimation problems in ship detection, which is difficult to adapt to the complex background. …”
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Sustainable building: Achieving thermal comfort in hot and humid climate using building performance simulation by Niniek Pratiwi, Abdi Gunawan Djafar, Rahmayanti Rahmayanti, Nur Mutmainnah, Arlan Kaharu

“… The scientific community has established a clear link between the built environment and various environmental problems. Various strategies have been implemented to mitigate the negative impacts of buildings and to address broader environmental challenges. …”
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Toward Better Accuracy-Efficiency Tradeoffs for Oriented SAR Ship Object Detection by Moran Ju, Buniu Niu, Mulin Li, Tengkai Mao, Si-nian Jin

“…Meanwhile, we design an oriented multiscale attention to alleviate the problem of sampling a large amount of background due to offset learning. …”
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A Complex Background SAR Ship Target Detection Method Based on Fusion Tensor and Cross-Domain Adversarial Learning by Haopeng Chan, Xiaolan Qiu, Xin Gao, Dongdong Lu

“…The method is designed to address the cross-domain detection problem of SAR ships with large differences between the training and test sets. …”
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