Simulation of Motion of Long Flexible Fibers with Different Linear Densities in Jet Flow by Peifeng Lin, Wenqian Xu, Yuzhen Jin, Zefei Zhu

“…The fluctuation and velocity of fibers with different linear densities in jet flow were studied numerically. …”
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Multi-route method of work organization for transport vehicles by Sergei A. Azemsha

“…A multi-route method of the work planning of route vehicles is proposed, which consists in the optimal distribution of trips of all routes of the considered route network between the fleet of available route vehicles, allowing to reduce its unproductive downtime and to increase the effectiveness rate of passenger load capacity utilization due to the possibility of route vehicles’ use on different routes, which will decrease the cost of such trips.For optimal distribution of trips of all routes of the considered route network between the fleet of available route vehicles, such trips are represented as vertices of the attributed graph, and possible activities between trips (idle time, empty runs) – as arcs. …”
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Cost-based optimal distributed generation planning with considering voltage depended loads and power factor of DG by Babak Yousefi-Khangah, Saeed Abapour, Shahram Yousefi-khangah

“…To confirm the results, impact of loads which are dependent on voltage and variation of the power factor of the DG units is applied and then Effect of power factor on optimal location and size of DG is shown. A method is proposed for convergence of different results which is caused by different power factors. …”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…This paper proposes an improved Harris vertex extraction method for detecting honeycomb structures. Initially, the influence of parameters on Harris detection results is examined, and an empirical equation is derived to directly determine the optimal parameter values. …”
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Statistical Foundations of Generative AI for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions by Elinor Ginzburg-Ganz, Eden Dina Horodi, Omar Shadafny, Uri Savir, Ram Machlev, Yoash Levron

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Design of a meta-heuristic artificial intelligence (AI) model for an optimal photovoltaic module cooling system by Armel Zambou Kenfack, Symphorien Tchimoe Kemle, Modeste Kameni Nematchoua, Venant Sorel Chara-Dackou, Elie Simo, Hermann Djeudjo Temene

“…The advantages and disadvantages of each method imply an efficient method for optimal selection. …”
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Optimal Variable Frequency Soft Switching for Interleaved Grid Tied Inverters in Electric Vehicle Charging Applications by Youssef A. Fahmy, Matthew Jahnes, Matthias Preindl

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Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives by Lekshmi S, Lal Priya P S

“…In comparison with conventional methods, the proposed method shows a 37% increase in energy efficiency across different test conditions, thereby resulting in an increase in EV driving range. …”
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Finding the Optimal Convolutional Kernel Size for Semantic Segmentation of Pole-like Objects in Lidar Point Clouds by Z. Zhang, D. Shojaei, K. Khoshelham

“…Furthermore, qualitative tests on an independent, unlabelled point cloud dataset from a different urban area demonstrate that our method consistently achieves accurate segmentation.…”
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Optimal parameters and Biomechanical analysis of the lightbulb technique for osteonecrosis of the femoral head: a finite element analysis by Yuhu Zhou, Long Yang, Daizhu Yuan, Zhanyu Wu, Shunen Xu, Chuan Ye

“…Methods FE models were established based on computed tomography images of a healthy adult, including three different degrees of necrotic lesion (60°, 100°, 115°), drilling locations (points C and L) and diameters (1.0 cm, 1.5 cm). …”
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NMFGOT: a multi-view learning framework for the microbiome and metabolome integrative analysis with optimal transport plan by Yuanyuan Ma, Lifang Liu

“…NMFGOT is an unsupervised learning framework based on nonnegative matrix factorization with graph regularized optimal transport, where it utilizes the optimal transport plan to measure the probability distance between microbiome samples, which better dealt with the nonlinear high-order interactions among microbial taxa and metabolites. …”
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Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty by Muhammad Zafar Abbas, Rukhshanda Anjum, Muhammad Umar Mirza, Abdulrahman A. Almehizia, Amir Hussain

“…In order to validate the effectiveness of our proposed approach, the method is applied to a case study in an optimal renewable energy resource allocation in sustainable energy systems in a smart grid. …”
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Model-based quantitative analysis in two-time-scale decomposed on–off optimal control of greenhouse cultivation by Dan Xu, Yanfeng Li, Anguo Dai, Shumei Zhao, Weitang Song

“…Results show that compared with continuous control inputs, a decrease of 2.21 ¥·m−2 in the control objective and an increase of 7.84·103 s in the CPU time can be found when defining all control inputs to be integers with 12 collocation points in one day. The methods of sorting and pulse width modulation are used to simulate the receding horizon optimal control in the whole growing period. …”
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Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models by Pál Péter Hanzelik, Alex Kummer, János Abonyi

“…In this study, three different machine learning methods for development were investigated. …”
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GAME THEORY AND FINANCIAL COMPONENTS FOR DETERMINING THE BUDGET PLACES OPTIMAL DISTRIBUTION IN THE HIGHER EDUCATION SYSTEM OF UKRAINE by Дмитро Бочаров, Наталія Стеблюк, Юлія Ульяновська, Наталія Волосова, Ольга Григораш, Ірина Петренко

“…The purpose of the study is to determine the optimal allocation of budget places for higher education institutions considering financial constituents, system analysis and the game theory method. …”
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Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding by K. Geetha, Malaya Kumar Hota

“…Lastly, the experimental results on the synthetic and real seismic signals reveal that the proposed OANFIS WT method is more effective in reducing random noise and preserving relevant signal information than other contrastive methods.…”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…Then, based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales, it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves, and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value. …”
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Innovative computational model for optimal deep coal mining under large-scale crustal stress conditions by Shuanhu Li, Chi Li, De Yao, Yuanhao Xing

“…A novel computational model is proposed for key rock layer control under different crustal stress conditions. The model considers the complexity and uncertainty of ground stress distribution by simplifying the key rock strata into a fixed-fixed beam model and calculating their safety through mechanical methods. …”
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Optimal Scheduling of Integrated Energy Systems Considering Electric Vehicle Charging Patterns and Supply-Demand Flexibility by LIU Weimin, XIAO Hui, ZENG Linjun, YAN Qin, GUO Huidong, WU Yongxiao

“…[Methods] First， from the demand perspective， an ordered charging strategy is developed based on the dynamic state of charge. …”
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A binary grasshopper optimization algorithm for solving uncapacitated facility location problem by Ahmet Babalik, Aybuke Babadag

“…The results were compared with other state-of-the-art binary optimization algorithms. The experimental results show that the proposed method is superior to the other compared algorithms and is an effective algorithm for solving UFLPs.…”
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