Optimised Neural Network Model for Wind Turbine DFIG Converter Fault Diagnosis by Ramesh Kumar Behara, Akshay Kumar Saha

“…These findings emphasise the efficiency of integrating advanced signal decomposition with deep sequential learning for real-time, high-precision fault identification in wind turbine power electronic converters.…”
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A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…This aspect allows for the identification of gaps in the literature. The research notes that previous studies have focused on wind forecasting, fault detection, or turbine efficiency. …”
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Intention Recognition of AAV Swarm Based on GAT-EPool-BiGRU Model by Jiajun Yuan, Xiang Jia, Yu An, Liang Geng, Lei Shu

“…Addressing the limitations of existing methods—such as the low feature transfer efficiency of stacked autoencoders (SAE) and the tendency of panoramic convolutional long short-term memory networks (PC-LSTM) to lose tactical details—this paper proposes a novel deep learning model called GAT-EPool-BiGRU, which integrates Graph Attention Networks (GAT), Edge Pooling (EPool), and Bidirectional Gated Recurrent Units (BiGRU). …”
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YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease by Ruohong He, Fengkui Zhang, Jikui Zhu, Yulong Wang, Daorina Yang, Ting Zhang, Ping Li

“…To achieve accurate identification of cotton aphids and diseases in natural complex environments, an enhanced YOLOv9 model named YOLOv9-LSBN (Large Selective Kernel Network with Bidirectional Feature Pyramid) is proposed. …”
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An Optimized Dual-View Snake Unet Model for Tunnel Lining Crack Detection by Baoxian Li, Hao Xu, Xin Jin, Huaizhi Zhang, Shuo Jin, Qianyu Chen, Fengyuan Wu

“…Deep learning-based approaches have significantly advanced automated crack detection, delivering improved efficiency and precision in tunnel inspection. Nevertheless, the intricate characteristics of cracks, manifesting as fine, elongated, and irregular structures, pose substantial challenges for deep learning-based semantic segmentation networks, hindering their ability to achieve comprehensive and accurate identification. …”
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CONCEPTUAL MODEL OF PROJECT-ORIENTED MANAGEMENT OF EDUCATIONAL ACTIVITIES OF HIGHER EDUCATION INSTITUTIONS by Varvara Piterska, Oleh Lohinov, Liliia Lohinova

“…The subject matter of the article is the methods, models and mechanisms of project-oriented management of the educational activities of higher education institutions. …”
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Construction of a machine learning-based prediction model for mitral annular calcification by LI Runqian, TAN Yanyi, GE Tiantian, QI Lei, BAI Song, TONG Jiayi

“…Objective To develop a risk prediction model for mitral annular calcification (MAC) using various machine learning algorithms to enable early identification and risk assessment of MAC. …”
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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…To further enhance classification accuracy, the Adaptive Moment Estimation (AME) optimizer is utilized for loss minimization, ensuring efficient convergence and improved model robustness. …”
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Designing an entrepreneurial ecosystem model in a university with a knowledge-based approach by Nahid Mir, Amin Rahimi Kia, Mehry Daraei

“…Creating and developing entrepreneurs in the educational system and turning it into an institutionalized culture requires the identification and determination of policies and principles that show the relevant solutions (Lahikainen, 2020).Sarayani et al, (2024) investigated the presentation of the model of recruitment and selection of public sector human resources with the entrepreneurial government approach. …”
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Vulnerability Assessment of Urban Rail Transit Network—A Case Study of Chongqing by Lan Xu, Pengcheng Xiang, Yan Qian, Simai Yang, Tao Zhou, Feng Wang

“…The article uses the Space L method based on complex network theory to establish a topological model of the Chongqing rail transit line network, analyze the topological properties of the network, and use MATLAB 2020b software to conduct deliberate attacks on each station to assess the vulnerability of the Chongqing rail transit network in terms of changes in network efficiency. …”
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Analysis and optimization of digital agency project activities by Olga Yu. Basharina, Tatiana V. Fer, Irina S. Shilnikova

“…The article deals with modelling the project activity of a digital agency in or der to increase the efficiency of its business processes. …”
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Analysis of China’s High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks by Zhenguo Xu, Jun Li, Irene Moulitsas, Fangqu Niu

“…The robustness study indicated that the network can quickly lose connectivity if key nodes fail, though it showed an ability initially to self-regulate and has partially restored its structure after disruption. The GCN model for key node identification revealed that the key nodes in the network were predominantly located in economically significant and densely populated cities, positively contributing to the network’s overall efficiency and robustness. …”
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SUBJECTIVE CRITERIA OF SELF-ACTIVITY CONTROL OF THE RUSSIAN AND SLOVENIAN MANAGERS: COMPARATIVE ANALYSIS OF PROFESSIONAL COMPETENCE by E. Boštjančič, F. S. Ismagilova, G. S. Miroljubova, N. Jansha

“…The research confirmed and expanded theoretical theses on national cultural differences in managerial processes of work evaluation efficiency.Practical significance. The proposed diagnostic model which has confirmed its practical consistency, and the questionnaire developed on its basis can be considered as working tools for monitoring of the content of activity and measurement of indicators of its control among managers of various organizations. …”
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Presenting the conceptual model of organizational democracy with an emphasis on the development of employees' psychological capital by Sattar jahantabi neghad, Foad Makvandi, ezat allah Kiani, ghanbar Amirnegad, Vahid Chenari

“…According to the mentioned cases and the statement of the areas, history, definitions, different theories about this subject area and the identification of research gaps as well as the benefit of this area for science from different points of view, now the main problem of the research is to identify the component test to present the conceptual model of organizational democracy based on the development of psychological capital for the employees of National Iranian Oil Company. …”
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Exploration of the Mountainous Urban Rail Transit Resilience Under Extreme Rainfalls: A Case Study in Chongqing, China by Chenhui Liu, Xue Su, Zhichun Wu, Yingjun Zhang, Cuizhu Zhou, Xiangguo Wu, Yong Huang

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Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach by Artur Krolik, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, Izabela Rojek

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Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…This intra-laminar fatigue damage model combined efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level. …”
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An improved U-net and attention mechanism-based model for sugar beet and weed segmentation by Yadong Li, Ruinan Guo, Rujia Li, Rongbiao Ji, Mengyao Wu, Dinghao Chen, Cong Han, Ruilin Han, Yongxiu Liu, Yuwen Ruan, Jianping Yang, Jianping Yang

“…Its performance on a sunflower dataset further verifies the model’s generalizability and robustness. This study, therefore, provides an efficient and accurate solution for crop-weed segmentation, laying a foundation for future research on automated crop and weed identification.…”
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Advancing the accuracy of clathrin protein prediction through multi-source protein language models by Watshara Shoombuatong, Nalini Schaduangrat, Pakpoom Mookdarsanit, Jaru Nikom, Lawankorn Mookdarsanit

“…We anticipate that the proposed PLM-CLA model will serve as a promising tool for large-scale identification of clathrins in resource-limited settings.…”
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Implementation of fatigue model for unidirectional laminate based on finite element analysis: theory and practice by D. Carrella-Payan, B. Magneville, M. Hack, C. Lequesne, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…This intra-laminar fatigue damage model combined efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level. …”
Get full text