Integrated Control Architecture of Station EM Equipment Based on Metro Networked Management Transformation by GE Shiping, HUANG Jianlin, CHEN Gang

“…An in-depth analysis of the problems existing in the control architecture of traditional station EM equipment, such as complex architecture, poor control functions, single function, poor linkage of subsystems, as well as difficulties in upgrading and transformation, corresponding breakthrough methods are proposed. …”
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Transformation of C Programming Language Memory Model into Object-Oriented Representation of EO Language by Alexander I. Legalov, Yegor G. Bugayenko, Nickolay K. Chuykin, Maksim V. Shipitsin, Yaroslav I. Riabtsev, Andrey N. Kamenskiy

“…The paper analyzes the possibilities of transforming C programming language constructs into objects of EO programming language. …”
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Business philosophy during digital transformation in wartime conditions. The case of Ukraine in critical perspective by Yaroslav Pushak, Nataliia Trushkina, Vitaliy Flyak, Iryna Bezpalko

“…In the case of Ukraine, the war situation happened since February 2022 makes the situation of domestic enterprises difficult, as they must now adapt to the requirements of a war economy. Using the method of the history of ideas, the aim of the research was to describe the meaning of business philosophy during the digital transformation in conditions of war in Ukraine, which involved a critical thinking exercise that tried to answer the question Is there a general business philosophy in Ukraine that, beyond the particularities of each business, represents the being and doing of entrepreneurs in the process of digital transformation and in the context of war? …”
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Acclimater les outils de projet pour la transformation des territoires littoraux by Atelier Georges, meat architectures, Mathieu Delorme, Félicien Pecquet-Caumeil, Thibault Barbier, Lucille Bricks, Chloé Picard

“…Under such conditions, is development planning, in the sense of a forward-looking narrative bringing together different stakeholders around a shared vision for the transformation of a territory, still a viable method? …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

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Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

“…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. …”
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Business philosophy during digital transformation in wartime conditions. The case of Ukraine in critical perspective by Yaroslav Pushak, Nataliia Trushkina, Vitaliy Flyak, Iryna Bezpalko

“…In the case of Ukraine, the war situation happened since February 2022 makes the situation of domestic enterprises difficult, as they must now adapt to the requirements of a war economy. Using the method of the history of ideas, the aim of the research was to describe the meaning of business philosophy during the digital transformation in conditions of war in Ukraine, which involved a critical thinking exercise that tried to answer the question Is there a general business philosophy in Ukraine that, beyond the particularities of each business, represents the being and doing of entrepreneurs in the process of digital transformation and in the context of war? …”
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Energy-based jamming pattern open set recognition via spiking wavelet transformer. by Xincheng Zhong, Junbiao Cui, Zhuangwei Ji

“…Simulation experiments have validated the effectiveness and superiority of the proposed method for JP-OSR.…”
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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

“…Printed identity documents, such as ID cards and passports, continue to play a vital role in identity verification, despite the growing adoption of digital authentication methods. The print-cam process, which involves printing a watermarked image and capturing it with a smartphone camera, provides a practical approach to the authentication of mobile-based documents. …”
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Pathways of Adaptation to Climate Change: Analysis and Transformation of the Governance System of the Ardennes Mountain Area by Jon Marco Church

“…In this article, we are particularly interested in the Ardennes governance system. We first use transformational sustainability research methods through a methodological framework that combines different methods. …”
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Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model by Hongdong Fan, Jialin Xin, Tao Lin, Jun Wang

“…Therefore, this study develops a wide-area subsidence calculation model integrating convolutional neural network and transformer. Initially, a training sample set for mining subsidence interferometric synthetic aperture radar was constructed by leveraging the probability integral method, Generic Atmospheric Correction Online Service, coherence maps, and zero-mean Gaussian noise. …”
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Factors driving digital transformation: Technological, organizational, and environmental perspectives from Jordanian banks by Mohammad O. Al-Smadi

“…The results highlight the need for Jordanian banks to develop explicit strategies that involve the integration of new technologies, regulatory frameworks that encourage modern technology adoption, and dealing with different environmental factors. The study thus proposes recommendations for Jordanian banks to achieve maximum benefit from digital transformation and manage the difficulties arising from this transformation in the changing banking sector.…”
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TEA-GCN: Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Forecasting by Xiaxia He, Wenhui Zhang, Xiaoyu Li, Xiaodan Zhang

“…Traditional spatial-temporal graph modeling methods often rely on fixed road network structures, failing to account for the dynamic spatial correlations that vary over time. …”
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Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks. …”
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Categorization of Microscopic Wood Images with Transfer Learning Approach on Pretrained Vision Transformer Models by Kenan Kılıç

“…Four Vision Transformer (ViT)-based models were optimized to classify microscopic wood images. …”
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Recurrent goitrous transformation and postoperative hypothyroidism — the arguments to execution of organ-preserving thyroid sergery by A. N. Galyan, O. S. Popov, V. I. Tikhonov, V. D. Zavadovskaya, S. N. Gasparyan, V. V. Udut

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Nonlinear relationship between digital and intelligent transformation and energy conservation and emission reduction in China by Qiqi Sun, Siyan Liu, Lili Feng, Gang Lu

“…Further research has found that the impact of different regions and digital transformation indicators on energy consumption and carbon emissions is heterogeneous. …”
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TRANSFORMATION PROCESSES OF THE ASTYONYMS ON THE GEOGRAPHICAL MAP OF KAZAKHSTAN (LATE XIX - EARLY XXI CENTURIES) by T. I. Gerasimenko, D. Z. Iskaliyev

“…Monitoring of this process is necessary for the development of optimal directions of regional and interstate policy. Materials and methods of research. Materials and methods of research. …”
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FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion by Rumei Li, Liyan Zhang, Zun Wang, Xiaojuan Li

“…The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture global features and do not adequately address the significant scale and spectral resolution differences between LR-HSI and HR-MSI. …”
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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

“…Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. While transformer-based segmentation methods have been widely applied to image segmentation tasks, they have mostly focused on satellite images. …”
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