Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…In addition, in conditions of complexity of procurement procedures for specialized software, the issue of creating domestic solutions seems relevant. …”
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Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI by Tasneem Alshamaseen, Elmehdi Illi, Syed Waqas Haider Shah, Saud Althunibat, Marwa Qaraqe

“…This resilience indicates that the system can reduce channel estimation frequency to reconfigure the RIS, thus decreasing overall system overhead and complexity and improving energy efficiency. Moreover, increasing the number of REs can mitigate CSI aging effects where an SOP level of <inline-formula> <tex-math notation="LaTeX">$3 \times 10^{-5}$ </tex-math></inline-formula> can be achieved with 140 REs at <inline-formula> <tex-math notation="LaTeX">$\rho = 0.9$ </tex-math></inline-formula> in the absence of a transmitter-receiver direct link. …”
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Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L): A Novel Recurrent Network Architecture with Dynamic Graph Learning for Spatio-Temporal Predicti... by Yuxuan Wang, Zhouyuan Zhang, Shu Pi, Haishan Zhang, Jiatian Pi

“…This paper introduces the Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L), a framework specifically designed to address the complex demands of spatio-temporal prediction. The DG3L model includes a memory-based graph learning module capable of generating dynamic graphs to accurately reflect ongoing changes in spatio-temporal dependencies. …”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…Our method handles efficiently the additional information from increasingly large neuronal ensembles and can detect a number of patterns that far exceeds the number of recorded neurons. …”
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The Theoretical and Methodological Basis of the Phenomenon of the Economy of Impressions by Iastremska Olesia A.

“…The main conclusions of the article are that the development of the economy and evolutionary changes in the models of consumer behavior contributed to the gradual development of the economy of impressions and the strengthening of its influence on improving the efficiency of enterprises. It is noted that the essence of the concept of «economy of impressions» should reflect a complex system of mutual influence of technical-technological, financial-economic, social, psychological, ethical relations between producers and consumers of goods and services at the post-industrial stage of social development. …”
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AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Combining Mamba and transformer architectures, this hybrid design was well-suited for the timely analysis of complex anatomical structures segmentation in abdominal ultrasonography, where accuracy and efficiency are critical in clinical practice.ConclusionThe proposed mamba-transformer hybrid recognition framework simultaneously detects and segments multiple abdominal organs and lesions in ultrasound images, achieving superior segmentation accuracy, visualization effect, and inference efficiency, thereby facilitating improved medical image interpretation and near real-time diagnostic sonography that meets clinical needs.…”
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An Effective Method for Borehole Imaging of Buried Tunnels by Loreto Di Donato, Rosa Scapaticci, Tommaso Isernia, Ilaria Catapano, Lorenzo Crocco

“…Since this requires to drill holes in the soil wherein the transmitting and receiving antennas have to be positioned, low complexity of the involved apparatus is important. On the other hand, to effectively image the surveyed area, there is the need for adopting efficient and reliable imaging methods. …”
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Sustainable interfirm collaborations in agriculture: A methodology for evaluating resource-saving complementary routines by Maksimchik Maksim

“…The implementation of the proposed methodology will help reduce transaction costs and increase the efficiency of intercompany interactions in agriculture.…”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…Accurate SMP forecasting is essential for ensuring market stability and economic efficiency. This study addresses the challenges of SMP prediction in Turkey by proposing a comprehensive forecasting framework that integrates machine learning, deep learning, and statistical models. …”
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A Novel Approach to Portfolio Construction: An Application of FinBERT Sentiment Analysis and Credibilistic CVaR Criterion by Esmaeil Taheripour, Seyed Jafar Sadjadi, Babak Amiri

“…Portfolio optimization continues to be a complex and challenging task within the fields of finance and management. …”
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Educational creative task as the main teaching tool for formation of compositional abilities of prospective leaders of the studio of decorative and applied creativity by Ekaterina S. Sachkova

“…The method of diagnostics of level of formation of compositional abilities of students is the qualitative assessment by the expert on criteria of visual perception of results of accomplishment by students of control compositional tasks. Efficiency of application of means of formation of compositional abilities of the prospective leaders of the Studio of decorative and applied creativity is reflected the qualitative growth of indicators in the structure of compositional abilities.…”
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An autonomous navigation method for field phenotyping robot based on ground-air collaboration by Zikang Zhang, Zhengda Li, Meng Yang, Jiale Cui, Yang Shao, Youchun Ding, Wanneng Yang, Wen Qiao, Peng Song

“…Compared with traditional GNSS-based navigation methods and single vision methods, this method shows significant advantages in adapting to the dynamic growth of crops and complex field environments, which not only ensures that the phenotyping robot accurately travels along the crop rows during field operations to avoid damage to the crops, but also provides an efficient and accurate means of data acquisition for crop phenotyping.…”
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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…Therefore, compared with existing algorithms, our algorithm has achieved the optimal performance in terms of time complexity and space complexity. We demonstrate the performance of our algorithm combining with two types of quantum classifiers, quantum support vector machines and quantum convolutional neural networks, for classifying underwater detection targets and quantum many-body phase, respectively. …”
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Laser induced forward transfer imaging using deep learning by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract A novel approach for improving the accuracy and efficiency of laser-induced forward transfer (LIFT), through the application of deep learning techniques is presented. …”
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Testing, tracing and isolation in compartmental models. by Simone Sturniolo, William Waites, Tim Colbourn, David Manheim, Jasmina Panovska-Griffiths

“…An alternative used in practice is the application of agent- or individual-based models (ABM). However ABMs are complex, less well-understood and much more computationally expensive. …”
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Comprehensive Review of Edge Computing for Power Systems: State of the Art, Architecture, and Applications by Fatma Yıldırım, Yunus Yalman, Kamil Çağatay Bayındır, Erman Terciyanlı

“…The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has necessitated the implementation of smart grid technologies and the integration of advanced computing paradigms such as edge computing. …”
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A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…This study evaluates 11 transformer-based models on three publicly available datasets (DeepGlobe Road Extraction Dataset, SpaceNet-3 Road Network Detection Dataset, and Massachusetts Road Dataset) to assess their performance, efficiency, and complexity in mapping road networks from multicity, multidate, and multisensory VHR optical satellite images. …”
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Rapid and sensitive determination of bongkrekic acid with molecularly imprinted polymer-coated wooden-tip electrospray ionization mass spectrometry by Chunfei Zhong, Xinyan Li, Fan Zhang, Ning Liu, Jiewei Deng, Yunyun Yang, Tiangang Luan

“…This approach exhibits an enrichment factor (EF) of 683 ± 53 for efficient extraction of BA from aqueous matrices, demonstrating the utility of dummy templates in enhancing the selectivity and sensitivity of the MIPWT-ESI-MS method. …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Although progress has been made in DR detection using deep learning techniques, these methods still face challenges in handling the complexity of DR lesion characteristics and the nuances in grading criteria. …”
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Hypergraph-based analysis of weighted gene co-expression hypernetwork by Libing Bai, Libing Bai, Zongjin Li, Chunyang Tang, Chunyang Tang, Changxin Song, Feng Hu, Feng Hu

“…BackgroundWith the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network analysis (WGCNA), which relies on pairwise gene relationships, struggles to capture higher-order interactions and exhibits low computational efficiency when handling large, complex datasets.MethodsTo overcome these challenges, we propose a novel Weighted Gene Co-expression Hypernetwork Analysis (WGCHNA) based on weighted hypergraph, where genes are modeled as nodes and samples as hyperedges. …”
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