Food security: state Financial support Measures for sustainable Development of Agriculture in Russian Regions by A. I. Borodin, I. Yu. Vygodchikova, E. I. Dzyuba, G. I. Panaedova

“…In the context of global economic instability, the problem of ensuring food security and sustainable development of agriculture at the international, national and regional levels becomes urgent. …”
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Transformation of Artistic Imageries of the World and National Cinema in the Era of Postmodern by O. V. Andreeva

“…In this regard, the urgency of the problem of studying the cultural dynamics of spiritual processes of the late Soviet period and post-Soviet Russia, including in cinematography, is obvious.Conclusion. …”
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Certainty of Linear Interrelation of Technical and Economic Parameters of Power Units of 300 МWt Thermal Power Stations by E. M. Farhadzadeh, A. Z. Muradaliyev, T. K. Rafiyeva, A. A. Rustamova

“…But there is one specific feature that, if it is not taken into account, further increases the risk of an erroneous decision. …”
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Two-stage strategic optimal planning of distributed generators and energy storage systems considering demand response program and network reconfiguration by Saleh Ba-swaimi, Renuga Verayiah, Vigna K. Ramachandaramurthy, Ahmad K. ALAhmad, Sanjeevikumar Padmanaban

“…The Non-dominated Sorting Genetic Algorithm II (NSGA-II) is utilized to address the outer-stage optimization problem. Multi-Objective Particle Swarm Optimization (MOPSO) is employed to address the inner-stage issue. …”
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The Trimming-Based Design Method for PWR Coolant Flow Distribution Device by Qian Hui, Wenqiang Li, Yan Li, Zhonghui Wang, Hao Li, Xin Guo

“…However, those structures will greatly increase the complexity and maintenance cost of the system. To solve this problem, a trimming-based design method is proposed in this paper for the complex system and applies it to the design process of the PWR coolant flow distribution device. …”
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Analysis of <i>BMAP</i>/<i>PH</i>/<i>N</i>-Type Queueing System with Flexible Retrials Admission Control by Sergei A. Dudin, Olga S. Dudina, Azam A. Imomov, Dmitry Y. Kopats

“…The system’s distinguishing feature is its ability to control the admission of retrial customers. …”
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Model-based Bayesian Fusion-Net for infrared and visible image fusion by Wang Li, Kuang Yafang, Cai Ziyi, Chu Ning, Mohammad-Djafari Ali

“…By formulating image fusion as an inverse problem within a hierarchical Bayesian framework, our method leverages physical priors and data-driven techniques to enhance model interpretability and transferability. …”
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A one-dimensional spot welding model by K. T. Andrews, L. Guessous, S. Nassar, S. V. Putta, M. Shillor

“…The model consists of the Stefan problem, in enthalpy form, coupled with the equation of charge conservation for the electrical potential. …”
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Fractal dimension approach on climate analysis of India by M. Meenakshi, A. Gowrisankar, Jinde Cao, Pankajam Natarajan

“…Climate change is an inevitable and important problem faced worldwide. Around the world, many researchers are doing research work on climate change with different factors. …”
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Analysis of the motion of a nanosatellite with an uninsulated conductive tether by T. A. Bystranova, Yu. M. Zabolotnov

“…The task is related to the urgent problem of removing exhausted nanosatellites or small spacecraft from space without using jet engines. …”
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Extremely compact sources (ECS): a new potential field filtering method by Marco Maiolino, Giovanni Florio, Maurizio Fedi

“…The selected solutions, which we call “Extremely Compact Sources” (ECS) form a sort of atomized model, which still satisfies the non-unique inverse problem of gravity and magnetic fields. The ECS model is not only characterized by sparsity, but also by large values of the physical property (density or magnetic susceptibility). …”
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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

“…The CVAE generates semantically consistent and feature-diverse minority-class samples under class-conditional constraints, thereby enhancing the overall representational capacity of the dataset. …”
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Conceptual Approach to Permanent Magnet Synchronous Motor Turn-to-Turn Short Circuit and Uniform Demagnetization Fault Diagnosis by Yinquan Yu, Chun Yuan, Dequan Zeng, Giuseppe Carbone, Yiming Hu, Jinwen Yang

“…Permanent magnet synchronous motors (PMSMs) play a crucial role in industrial production, and in response to the problem of PMSM turn-to-turn short-circuit and demagnetization faults affecting production safety, this paper proposes a PMSM turn-to-turn short-circuit and demagnetization fault diagnostic method based on a convolutional neural network and bidirectional long and short-term memory neural network (CNN-BiLSTM). …”
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Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning Using Graph Neural Networks and Transfer Learning by Johannes Pauli, Maximilian Hoffmann, Ralph Bergmann

“…Previous work tackles this problem by using Graph Neural Networks (GNNs) to learn pairwise graph similarities. …”
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Rolling Bearing Fault Diagnosis Based on Component Screening Vector Local Characteristic-Scale Decomposition by Tengfei Guan, Shijun Liu, Wenbo Xu, Zhisheng Li, Hongtao Huang, Qi Wang

“…The effectiveness of the proposed method is verified by simulated signals and experimental signals of a bearing, which provides a method for bearing feature extraction and fault diagnosis.…”
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A Methodology for Classifying Search Operators as Intensification or Diversification Heuristics by Jorge A. Soria-Alcaraz, Gabriela Ochoa, Andres Espinal, Marco A. Sotelo-Figueroa, Manuel Ornelas-Rodriguez, Horacio Rostro-Gonzalez

“…Our results indicate improved performance, including new best-known solutions for the course timetabling problem.…”
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A Lightweight Load Identification Model Update Method Based on Channel Attention by Yong Gao, Junwei Zhang, Mian Wang, Zhukui Tan, Minhang Liang

“…In this study, a load identification method based on the channel attention mechanism is proposed for the lightweight model update problem in the electrical load identification task. …”
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Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Sh... by Lan Cao, Haoyu Yang, Chenggong Zhou, Shaochi Wang, Yingang Shen, Binxia Yuan

“…LSTM performs dynamic time modeling of the multivariate feature sequences to predict the output PV power. …”
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Cost-aware cloud workflow scheduling using DRL and simulated annealing by Yan Gu, Feng Cheng, Lijie Yang, Junhui Xu, Xiaomin Chen, Long Cheng

“…Cloud workloads are highly dynamic and complex, making task scheduling in cloud computing a challenging problem. While several scheduling algorithms have been proposed in recent years, they are mainly designed to handle batch tasks and not well-suited for real-time workloads. …”
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Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…Subsequently, the coordinated optimization problem is formulated as a Markov Decision Process (MDP). …”
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