A space-time least-squares support vector regression scheme for inverse source problem of the time-fractional wave equation by A. Mohammadi, A. Tari Marzabad

“…In this work, we present a novel numerical approach for addressing the fractional inverse source problem by a machine learning algorithm and considering the ideas behind the spectral methods. …”
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Research on Mode Shift Control of Multimode Hybrid Systems Based on Hybrid Model Prediction by Xinxin Zhao, Jiadian Liu, Bing Li

“…However, the simulation time of the HMPC algorithm is about 27% less than that of the MPC algorithm. …”
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Smoothing Strategies Combined with ARIMA and Neural Networks to Improve the Forecasting of Traffic Accidents by Lida Barba, Nibaldo Rodríguez, Cecilia Montt

“…The coefficients of the first ANN are estimated through the particle swarm optimization (PSO) learning algorithm, while the coefficients of the second ANN are estimated with the resilient backpropagation (RPROP) learning algorithm. …”
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Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment by Jing Zhang, Jingjing Liu, Zhong Wan

“…Then, an interactive algorithm is developed to find a compromising solution of the uncertain model. …”
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Research on Runway Blockage Probability through Simulation by Wan-Li Wei, Ye-Qing Chen, Zhen-Qing Wang, Jian-Hui Wang, Xin-Jian Ren, Shang Ma

“…On the basis of Mathematica, a simulation is performed by judging whether the inequality group has a solution domain. An improved algorithm for judging whether an airport has a minimum takeoff and landing window is proposed. …”
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Redefining the high variable genes by optimized LOESS regression with positive ratio by Yue Xie, Zehua Jing, Hailin Pan, Xun Xu, Qi Fang

“…Results We developed a robust feature selection algorithm that leverages optimized locally estimated scatterplot smoothing regression (LOESS) to precisely capture the relationship between gene average expression level and positive ratio while minimizing overfitting. …”
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Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation by Chenxi Wu, Hanxiao Hong, Suoyin Ni, Y. L. Lou

“…Simulated annealing algorithm (SAA) is employed to energy-saving scheduling of the system with “exergy assessment” method. …”
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Position Selection and Collision-Free Path Planning for Fruit Picking Robots by Yonghee Cho, Dongwoon Choi, Kwangeun Ko, Jong Hyeon Park

“…Additionally, a method for collision-free path planning in joint space using the model predictive artificial potential field (MPAPF) algorithm is proposed. The effectiveness of the proposed position selection and path planning algorithms was validated through harvesting simulations and a collision-free path was validated in experiments.…”
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МЕСHANICAL BEHA VIOR OF GRADED HONEYCOMB AND ITS MULTI-OBJECTIVE OPTIMAL DESIGN by CHEN BiMin, HUANG XiaoDi

“…That the graded honeycomb recommended by the NSGA-I algorithm is compared with the homogeneous honeycomb. …”
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State-Aware Energy Management Strategy for Marine Multi-Stack Hybrid Energy Storage Systems Considering Fuel Cell Health by Pan Geng, Jingxuan Xu

“…This strategy ensures stable operation of the marine power system while providing an economically viable solution for hybrid-powered vessels.…”
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Geometric Degree Reduction of Wang–Ball Curves by Yusuf Fatihu Hamza, Mukhtar Fatihu Hamza, Abedallah Rababah, Salisu Ibrahim

“…The general equation for high-order (G2 and above) multidegree reduction algorithms is nonlinear, and the solutions of these nonlinear systems are quite expensive. …”
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IRSnet: An Implicit Residual Solver and Its Unfolding Neural Network With 0.003M Parameters for Total Variation Models by Yuanhao Gong

“…Then, we generalize this algorithm to a compact implicit neural network that has only 0.003M parameters. …”
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Joint Adaptive Modulation and Power Control Scheme for Energy Efficient FSO-based Non-Terrestrial Networks by Thang V. Nguyen, Hien T. T. Pham, Ngoc T. Dang

“…To cope with these difficulties, we propose to apply a joint adaptive modulation and power control (JAMPC) scheme to FSO-based NTN. Our proposed JAMPC algorithm aims to enhance energy efficiency while guaranteeing the targeted outage probability, bit-error rate, and the required data rate. …”
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Multiobjective Coverage Control Strategy for Energy-Efficient Wireless Sensor Networks by Hui Zhou, Tian Liang, Chen Xu, Jing Xie

“…A multiobjective optimization coverage control strategy is proposed for solving the contradictory problem among energy consumption, equilibrium of energy, and network coverage in wireless sensor networks. A new evolutionary algorithm named Multiobjective free search algorithm (MOFS) is designed for WSN optimization problem based on fitness functions and binary coding schemes. …”
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Comprehensive FISH probe design tool applied to imaging human immunoglobulin class switch recombination. by Jakub Nedbal, Philip S Hobson, David J Fear, Rainer Heintzmann, Hannah J Gould

“…We present a web engine boosted fluorescence in-situ hybridization (webFISH) algorithm using a genome-wide sequence similarity search to design target-specific single-copy and repetitive DNA FISH probes. …”
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Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios by XU Lianming, ZHU Wendi, WANG Li, LIU Zhenyu, ZHANG Yuhao

“…Additionally, to mitigate severe fading effects of NLoS links caused by obstacles such as mountains, a virtual attractive force modelling method for NLoS link avoidance was proposed, improving the service quality of the emergency network by eliminating severe fading links. The proposed NA-VF algorithm significantly enhances the utilities of communication and localization and the service coverage rates for users in dynamic scenarios, while supporting sub-second UAV deployment.…”
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An Approach to Finding a Robust Deep Learning Model by Alexey Boldyrev, Fedor Ratnikov, Andrey Shevelev

“…This approach, supplemented with a model selection algorithm designed as a meta-algorithm, is versatile and applicable to any machine learning model, provided that it is appropriate for the task at hand. …”
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Scheduling a Fleet of Dynamic EV Chargers for Maximal Profile by Shorooq Alaskar, Mohamed Younis

“…Numerical experiments conducted on Sioux Falls validate the efficacy of our approach, allowing for an assessment of algorithm performance under realistic large-scale conditions. …”
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NEW STRATEGY THE FOR DESIGNATION OF THE INTEGRITY PARAMETER IN SBAS POSITIONING IN AIR TRANSPORT by Magda MROZIK, Jarosław KOZUBA, Kamil KRASUSKI, Janusz ĆWIKLAK, Mieczysław BAKUŁA, Bilal BELDJILALI

“…Based on the conducted tests, it was found that the HPL parameter does not exceed 12.24 m, while respectively the VPL does not exceed 18.01 m. …”
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Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series by Vasilii A. Gromov, Philip S. Baranov

“…The resulting strategy demonstrates accurate results for both benchmark and real-world time series, with the number of predicted steps exceeding that of any other published algorithm.…”
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