Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“… The digitalization of the economy reduces the cost of doing business by automating the relevant processes, but any transformation creates new risks and economic instability. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“… The digitalization of the economy reduces the cost of doing business by automating the relevant processes, but any transformation creates new risks and economic instability. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“… The digitalization of the economy reduces the cost of doing business by automating the relevant processes, but any transformation creates new risks and economic instability. …”
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Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“… The digitalization of the economy reduces the cost of doing business by automating the relevant processes, but any transformation creates new risks and economic instability. …”
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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. Traditional methods of analyzing Acoustic Emission (AE) signals in the time domain often fail to accurately detect subtle or early-stage damage, limiting their effectiveness. …”
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A novel color image encryption algorithm based on fractional-order conservative memristive hyperchaotic system and extended zig-zag transform by Fanqi Meng, Gang Wu, Juxiao Zhang

“…Second, a new extended Zig-Zag confusing method is designed, which realizes the scrambling of pixels in different channels of a color image. …”
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DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform by Shuli Sun, Jixin Liu, Guojun Li, Bingqiang Liu

“…We present DeepGFT, a method that simultaneously models spot-wise and gene-wise relationships by integrating deep learning with graph Fourier transform for spatial domain identification. …”
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Electrohydropulse technology of destruction and crushing of natural stones at different parameters by B.A. Akhmadiev, A. Tatybekov, N.N. Shuyushbayeva, N.K. Tanasheva, G.S. Altayeva, M. Stoev

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FAULTING IN THE LITHOSPHERE: THE 35TH ANNIVERSARY OF THE IRKUTSK SCHOOL OF TECTONOPHYSICS by S. I. Sherman, K. Zh. Seminsky, S. A. Bornyakov

“…It is established that internal patterns of areas of dynamic influence of faults are composed of zones that can be revealed both laterally and in depth, and such zonal patterns depend on the degree of tectonical and dynamo-metamorphical transformation of the rocks.The internal structure of continental fault zones was studied, and three main disjunctive stages were revealed, each corresponding to a specific type of deformation behaviour of the medium, its state of stresses, pathogenesis of faults varying in ranks, and variations of parameters in space and time.Triple paragenesises of fractures were revealed and analysed for a number of regions, and such studies provided the basis to propose a method of specialized mapping of the crust, which provides for determination of locations of fault zones and their boundaries, conditions of their formation and major specific features of their internal structures. …”
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Theoretical-methodological differences diversifications and securities bank loan portfolio by O.V. Lysenok

“…The article examines the essence of diversification as the main method of managing the credit activity of domestic banks, using which takes into account the ability of the loan portfolio to reduce the possible risk, when it includes different characteristics and composition of loans. …”
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Effect of Different Hormones Concentration on In vitro Regeneration of Apricot Cultivars by Muzaffer İpek, Şeyma Arıkan, Ahmet Eşitken, Servet Aras

“…Apricot stands out as a stubborn species among Prunus types for shoot regeneration and genetic transformation. In this context, this study aims to determine how different plant growth regulators affect shoot regeneration of some native apricot varieties, which hold significant importance in apricot cultivation in our country. …”
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Levels of angiogenesis markers in patients with different heart failure phenotypes by R. N. Shepel, O. M. Drapkina

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MAS-PD: Transferable Adversarial Attack Against Vision-Transformers-Based SAR Image Classification Task by Boshi Zheng, Jiabin Liu, Yunjie Li, Yan Li, Zhen Qin

“…By skipping the attention gradient during backpropagation and using momentum to avoid local maxima during gradient ascent, our method enhances the transferability of adversarial attacks across different models. …”
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MedFusion-TransNet: multi-modal fusion via transformer for enhanced medical image segmentation by Jianfei Sun

“…IntroductionMedical image segmentation is essential for analyzing medical data, improving diagnostics, treatment planning, and research. However, current methods struggle with different imaging types, poor generalization, and rare structure detection.MethodsTo address these issues, we propose MedFusion-TransNet, a novel multi-modal fusion approach utilizing transformer-based architectures. …”
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Performance of Mathematical Indices in Transformer Condition Monitoring Using k-NN Based Frequency Response Analysis by Mehdi Bigdeli

“…This paper proposes a k-nearest neighbor (k-NN) based method for condition monitoring of the transformers, using the results of FRA measurements. …”
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Segmented Frequency-Domain Correlation Prediction Model for Long-Term Time Series Forecasting Using Transformer by Haozhuo Tong, Lingyun Kong, Jie Liu, Shiyan Gao, Yilu Xu, Yuezhe Chen

“…Nevertheless, most existing methods rely on point-by-point self-attention mechanisms or employ transformations, decompositions, and reconstructions of the entire sequence to capture dependencies. …”
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TS-Resformer: a model based on multimodal fusion for the classification of music signals by Yilin Zhang

“…Then, to further improve the classification accuracy of the model, we propose the TS-Resformer model based on the Res-Transformer model, combined with different attention mechanisms, and design the time-frequency attention mechanism, which employs different scales of filters to fully extract the low-level music features from the two dimensions of time and frequency as the input to the time-frequency attention mechanism, respectively. …”
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Improved EEG-Based Emotion Classification via Stockwell Entropy and CSP Integration by Yuan Lu, Jingying Chen

“…This study applies differential entropy to a time-frequency domain that is decomposed by Stockwell transform, proposing a novel EEG emotion recognition method combining Stockwell entropy and a common spatial pattern (CSP). …”
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DMOIT: denoised multi-omics integration approach based on transformer multi-head self-attention mechanism by Zhe Liu, Taesung Park, Taesung Park

“…However, effectively integrating and analyzing multi-omics data remains challenging due to their heterogeneity and high dimensionality. Existing methods often struggle with noise, redundant features, and the complex interactions between different omics layers, leading to suboptimal performance. …”
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Integrating encryption and watermarking for enhanced information transmission security by Hadi Nazari, Mahmoud Mahlouji Bidgoli, Hossein Ghasvari

“…This watermarking process involves a clever two-step transformation. First, the color image is converted into a different color space using the Triangle Vertex Transform (TVT). …”
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