Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…A methodological technique has been developed that allows choosing the optimal option for allocating the strategy budget funds between the key areas of transformation of the industrial complex, characterized by the use of neural network modeling technologies and providing the greatest increase in revenue and labor productivity while maintaining the financial and economic stability of the enterprise. …”
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Knowledge embedding and interpretable machine learning optimize comprehensive benefits for water treatment by Yu-Qi Wang, Wenchong Tian, Hao-Lin Yang, Yun-Peng Song, Jia-Ji Chen, Qiong-Ying Xu, Wan-Xin Yin, Le-Qi Ding, Xi-Qi Li, Han-Tao Wang, Ai-Jie Wang, Hong-Cheng Wang

“…This framework reduces economic costs while optimizing water quality through KE and interpretability analyses, providing evidence for the safe and reliable application of future models.…”
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Identification of Natural Sloshing Frequency in a Rectangular Tank Under Surge Excitation Using Coupled Eulerian–Lagrangian Method and Impulse Excitation Method by Su-Hyun Park, Young Il Park, Taehyun Yoon, Jeong-Hwan Kim

“…By analyzing the system’s response to an impulse excitation, we extracted the dominant sloshing frequencies while considering the impact of baffles on fluid dynamics. …”
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Constructing the optimal experimental autoimmune thyroiditis mouse model using porcine thyroglobulin by Ke Liu, Pei Zhang, Zi-Shan Jin, Xiang-Kun Meng, Jin-Li Luo, Jin-Li Luo, Jin-Li Luo, Lin Han, Xiao-Tong Yu

“…This study systematically compares pathological and immunological effects of different immunization conditions (antigen dose, frequency, administration methods) in NOD/LtJ mice to establish an optimal model for elucidating AIT pathogenesis and therapies.MethodsEighty female NOD/LtJ mice were divided into subcutaneous (SC) and tail vein intravenous (IV) injection groups. …”
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Improved Block Element Method for Simulating Rock Failure by Yan Han, Qingwen Ren, Lei Shen, Yajuan Yin

“…As the innovation of this work, the iterative algorithm is combined with polygonal geometric features so that the area–perimeter fractal dimension can be introduced to optimize random Voronoi grids. The iterative control index can effectively improve the geometric characteristics of the grid while maintaining the necessary randomness. …”
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Complexity synchronization analysis of neurophysiological data: Theory and methods by Ioannis Schizas, Sabrina Sullivan, Scott Kerick, Korosh Mahmoodi, J. Cortney Bradford, David L. Boothe, Piotr J. Franaszczuk, Piotr J. Franaszczuk, Paolo Grigolini, Bruce J. West, Bruce J. West

“…IntroductionWe present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and behavioral systems to infer the optimal empirical transfer of information among them. …”
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Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields by Shih-Cheng Li, Pei-Hua Wang, Jheng-Wei Su, Wei-Yin Chiang, Tzu-Lan Yeh, Alex Zhavoronkov, Shih-Hsien Huang, Yen-Chu Lin, Chia-Ho Ou, Chih-Yu Chen

“…Our results suggest that the performance of models is comparable to classical machine learning (ML) methods (i.e., Random Forest and Multilayer Perceptron (MLP)), while the inference time of our models requires only seconds with a DAU. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…Comparative evaluations reveal that FODWO outperforms other state-of-the-art nature-inspired algorithms and traditional optimization methods, making it a highly effective tool for DOCR coordination in EPSs.…”
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Low-carbon economic optimization of microgrid clusters based on an energy interaction operation strategy by Li Guoyu, Yin Zekun

“…Therefore, a low-carbon economic optimization method for microgrid clusters is built based on energy interaction operation strategies. …”
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Optimized Parameter Design of RC Snubber Circuit forSiC-MOSFET Module by SHI Hongliang, LUO Dewei, WANG Jiajia, TAN Miao, YANG Kui, ZHOU Shuai, RAO Peinan

“…This paper proposes a fast optimization design method for RC snubber circuit parameters in order to solve the high switching voltage spikes of SiC while high switching and difficulties in snubber circuit parameters. …”
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Optimization of High-Speed Railway Line Planning Considering Extra-Long Distance Transportation by Ying Wang, Qi-Yuan Peng, Ling Liu, Jia-Kang Wang

“…Last, the method and optimizing model is verified by the network which took Baoji–Lanzhou HSR as the core. …”
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Improve the Intelligent Convenience of Multivariate Optimization of Concrete Mix Ratio and the Development of Corresponding Applications by Zhanfei Yang, Bin Chen, Jianfen Zhou, Saihua Huang

“…The results show that the error between the measured value and the design value is basically within 15%, which meets the design requirements. The method can reduce the time and cost of concrete production, with the cost per cubic meter after optimization is 3.5–8 CHY lower than the concrete mix calculated by the conventional method. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

“…Here, we propose a method based on dynamic intra-class clustering (DICC) to optimize the class imbalance problem in facial expression recognition tasks. …”
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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

“…To address this challenge, we propose an efficient super-resolution method based on a multitemporal difference and dynamic optimization framework. …”
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Optimized workflow for behavior-coupled fiber photometry experiment: improved data navigation and accessibility by Anna Athanassi, Amaury François, Emmanuel Bourinet, Marc Thevenet, Nathalie Mandairon

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Adaptive Bayesian optimization for proportional derivative control in double-acting piston pump ventilators by Cong Toai Truong, Trung Dat Phan, Van Tu Duong, Huy Hung Nguyen, Thanh Truong Nguyen, Tan Tien Nguyen

“…The method integrates a conventional proportional derivative control algorithm with Bayesian optimization to rapidly determine optimal control parameters without a precise system model and adaptively re-tune these parameters in response to fluctuations in patient respiratory conditions. …”
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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

“…Our results demonstrate that this method effectively optimizes CT trajectories by focusing on predefined regions of interest and provides a practical solution for efficient, cost-effective CT imaging in real-world applications. …”
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Automated Workflow of the Re-Design and Topology Optimization of a Wrist Hand Splint for Additive by M. Farih, M. Ouardouz

“…After finite element analysis, we evaluate the mechanical properties of the topologically optimized design. The results confirm that the proposed approach offers significant improvements in raw material consumption while maintaining the strength and ventilation required for patient comfort. …”
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An eigenvalue-driven framework for the ranking and selection of optimal geological CO2 storage sites by Soha Iranfar, Farshad Sadeghpour, Abbas Khaksar Manshad, Meysam Naderi, Mahmood Shakiba

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Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines by GUO Jingfan

“…[Objective] To minimize passenger travel time while reducing operational costs for enterprises, it is necessary to identify an optimal balance between these two competing objectives. …”
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