Modern Artistic Space: the Problem of Anthropological and Aesthetic Transformation by E. A. Kapichina

“…The problem of analyzing the contemporary artistic space has its own evolution, its genesis is reduced to understanding different kinds of transformations in relation to the traditional art as a form of creative perception of reality based on spiritual values. …”
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Transformation of tourism of the Eastern Ukraine in the context of a conflict by Galina Zavarika

“…The purpose of the work is to identify the transformational changes in the state of tourism in the east of Ukraine as a result of the conflict. …”
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CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

“…With the success of Transformer in various vision tasks, existing UDA methods borrow strong Transformer framework to learn global domain-invariant feature representation from the domain level or category level. …”
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Change Detection Network Based on Transformer and Transfer Learning by Hua Li, Jingyu Li, Guanghao Luo, Liang Zhou, Hao Wu, Zhangcai Yin

“…In this study, we propose a swin transformer based change detection network (STTL-CD) that incorporates Transfer Learning. …”
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Electrodegradation of Selected Water Contaminants: Efficacy and Transformation Products by Borislav N. Malinović, Tatjana Botić, Tijana Đuričić, Aleksandra Borković, Katarina Čubej, Ivan Mitevski, Jasmin Račić, Helena Prosen

“…EO was performed in a batch reactor with a boron-doped diamond (BDD) anode and a stainless steel cathode. Different supporting electrolytes were tested: NaCl, H₂SO₄, and Na₂SO₄. …”
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Transformer-based heart language model with electrocardiogram annotations by Stojancho Tudjarski, Marjan Gusev, Evangelos Kanoulas

“…Our experiments include 41, 128, 256, and 512 tokens, representing parts of ECG recordings after tokenization. The method consists of training the foundation model with annotated benchmark databases, then finetuning on a much smaller dataset and evaluating different ECG datasets from those used in the finetuning. …”
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Cowpea leaf disease identification using deep learning by Rajesh Kannan Megalingam, Gowtham Gopakumar Menon, Swathi Binoj, Deepika Asandi Sai, Akhil Revi Kunnambath, Sakthiprasad Kuttankulangara Manoharan

“…Along with this, for each classified disease, a Possible Treatments and Prevention Methods suggestion is proposed. Six deep learning models—InceptionV3, VGG16, VGG19, Ensemble model, CNN and Vision Transformer (ViT) models were compared for the prediction of diseases in cowpea plants using a dataset of 5100 images of diseases of cowpea plant leaves. …”
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Hi-LabSpermMorpho: A Novel Expert-Labeled Dataset With Extensive Abnormality Classes for Deep Learning-Based Sperm Morphology Analysis by Abdulsamet Aktas, Gorkem Serbes, Merve Huner Yigit, Nizamettin Aydin, Hakki Uzun, Hamza Osman Ilhan

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TRACE: Transformer-Based Risk Assessment for Clinical Evaluation by Dionysis Christopoulos, Sotiris Spanos, Valsamis Ntouskos, Konstantinos Karantzalos

“…We present TRACE (Transformer-based Risk Assessment for Clinical Evaluation), a novel method for clinical risk assessment based on clinical data, leveraging the self-attention mechanism for enhanced feature interaction and result interpretation. …”
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Features of transformation of organic matter in the forest  reserves of the Crimea by V. G. Kobechinskaya, O. B. Yarosh, A. V. Ivashov, V. L. Apostolov

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Digital transformation and cyberbullying in education: an evaluation on children in Kyrgyzstan by Niyazi Ayhan, Erdoğan Akman, Topchugul Narmamatova

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Digital Transformation and E-Service Development in the Kyrgyz Republic by N. M. Akimova

“…The purpose of this study is to assess regional differences and socio-demographic features of digitalization in the Kyrgyz Republic, and to identify barriers and drivers of digital transformation. …”
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Digital transformation and social responsibility: pragmatism or the search for balance by M. A. Izmailova

“…Purpose: the article defines modern approaches to establishing a balance between digital transformation and the social responsibility of the state and business based on identifying trends and principles for introducing digital technologies into human life, taking into account the priority of social responsibility.Methods: the study is based on a systematic approach to the digital transformation of society. …”
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Electric field transformation effect in anisotropic dielectric medium by Anatoly Аshcheulov, Dmytro Lavreniuk, Mykola Derevianchuk

“…The authors investigate the possibility of transforming the magnitude of the electric field and methods for its optimization. …”
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Comparison of Seizure Detection Performances of Features Based on Wavelet Transform and Empirical Mode Decomposition by Erhan Bergil, Murat Yıldız

“…In this study, performances of Wavelet Transform and Empirical Mode Decomposition methods which are used commonly to extract feature in epilepsy studies have been compared. …”
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Finding Solutions to Undamped and Damped Simple Harmonic Oscillations via Kashuri Fundo Transform by Haldun Alpaslan Peker, Fatma Aybike Çuha

“…One of these methods is integral transforms. Studies have shown that the use of integral transforms in the solutions of differential equations is a very effective method to reach solutions. …”
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Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer... by Changzhi Sun, Shijie Huang, Banghui Sun, Shiwei Chu

“…Abstract In the field of personalized learning path planning for higher education, traditional methods lack in-depth analysis of students' dynamically changing learning status and interests, resulting in insufficient personalization, and focus on the analysis of a single data type, making it difficult to integrate data of different modalities. …”
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Fast Double-Channel Aggregated Feature Transform for Matching Planetary Remote Sensing Images by Rong Huang, Genyi Wan, Yingying Zhou, Zhen Ye, Huan Xie, Yusheng Xu, Xiaohua Tong

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Implementation of Discrete Wavelet Transform and Directed Acyclic Graph SVM for Batik Pattern Recognition by Edi Sugiarto, Fikri Budiman, Amiq Fahmi, MY Teguh Sulistyono, Asih Rohmani

“…This study aims to optimize batik pattern recognition using the discrete wavelet transform (DWT) and directed acyclic graph SVM (DAGSVM) methods. …”
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An Enhanced Phase Gradient Autofocus Algorithm for SAR: A Fractional Fourier Transform Approach by Kanghyuk Seo, Yonghwi Kwon, Chul Ki Kim

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