Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
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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Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI by Tasneem Alshamaseen, Elmehdi Illi, Syed Waqas Haider Shah, Saud Althunibat, Marwa Qaraqe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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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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Intelligent beehive monitoring system based on internet of things and colony state analysis by Yiyao Zheng, Xiaoyan Cao, Shaocong Xu, Shihui Guo, Rencai Huang, Yingjiao Li, Yijie Chen, Liulin Yang, Xiaoyu Cao, Zainura Idrus, Hongting Sun

“…With the development of the IoT and computer vision algorithms, we hope to provide an automated and efficient system to meet the above challenges. In this paper, we proposed a hive monitoring system, and build a visualization module in the cloud to monitor the activity of bee colonies and the environmental dynamic changes. (1) We proposed a multi-bee tracking algorithm to solve the problem of monitoring bees at the door of the hive; (2) we constructed a dataset containing various complex scenes, named BEE22, for training and testing the performance of our algorithm; (3) we designed a bee counting rule, based on results of multi-bee tracking algorithm, to reasonably count the bees entering or leaving the beehive; (4) we have deployed multiple sensors around(center, margin, door, and environment) the hive to accurately reflect the changes in the environment around the hive. …”
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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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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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Modernization of Agrarian Economy in the Republic of Kazakhstan by G. K. Kurmanova, B. B. Sukhanberdina, B. A. Urazova

“…Thanks to modernization, the agricultural economy is becoming more efficient based on a new development model. The analysis of the modernization of the agricultural economy is important for understanding the development of the country. …”
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Research on an Energy-Harvesting System Based on the Energy Field of the Environment Surrounding a Photovoltaic Power Plant by Bin Zhang, Binbin Wang, Hongxi Zhang, Abdelkader Outzourhit, Fouad Belhora, Zoubir El Felsoufi, Jia-Wei Zhang, Jun Gao

“…By integrating wind and irradiance distribution analysis, the spatial characteristics of airflow and solar radiation are mapped to identify high-efficiency zones for energy harvesting. The results indicate that the top of the photovoltaic panel exhibits a higher wind speed and reflected irradiance, providing the optimal location for an energy-harvesting system. …”
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Numerical simulation study on the damage characteristics of water jet impact in drill holes with gangue coal rock by Yabin Gao, Shaoqi Zhang, Junyu Hong, Jing Cao, Mengbo Li

“…The results of this research provide a crucial theoretical foundation for understanding the fracturing behavior of coal rock under complex geological conditions. Furthermore, they lay a solid groundwork for optimizing the drilling and water jet coal rock fracturing process, as well as for developing efficient gas extraction technologies.…”
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Comprehensive Adaptive Enterprise Optimization Algorithm and Its Engineering Applications by Shuxin Wang, Yejun Zheng, Li Cao, Mengji Xiong

“…Overall, through the coordinated implementation of multiple optimization strategies, the CAED algorithm exhibits high precision, strong robustness, and rapid convergence when searching in complex solution spaces. As such, it offers an efficient approach for solving various engineering optimization problems.…”
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Comparative analysis of distinct phenotyping methods for assessing wheat resistance and pathogen virulence among Fusarium species causing head blight disease by Vahideh Rafiei, Liza DeGenring, Erin M. Schwister, James Mitch Elmore, Mukesh Dubey, Magnus Karlsson, Milton T. Drott

“…The high variability in virulence within the complex of Fusarium spp and the lack of efficient high-throughput screening methods have impeded the development of resistant cultivars and made large-scale virulence testing labor-intensive and time-consuming. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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Environmental innovations as factor of development of petrochemical industry in Russia by A. I. Shinkevich, S. S. Kudryavtseva, Yu. N. Khakimullin, M. I. Farakhov

“…Objective: development of methodological tools for assessing resource efficiency and analysis of the processes of introducing environmental innovations in the petrochemical complex. …”
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Artificial Intelligence Applied to Computational Fluid Dynamics and Its Application in Thermal Energy Storage: A Bibliometric Analysis by Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu, Emiliano Borri, Luisa F. Cabeza

“…Computational fluid dynamics became an essential tool for analyzing complex fluid behavior, with applications ranging from aerospace engineering to renewable energy systems. …”
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