Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

“…Aiming at the problem that the current residual effective life prediction (RUL) technique for proton exchange membrane fuel cells (PEMFCs) has poor prediction effect in the medium and long term, a residual life prediction method based on the Improved Gray Wolf Optimization algorithm (IGWO) and Echo State Network (ESN) is proposed, in which the voltage of the electric stack is firstly selected as a health indicator, and the PEMFC dataset is processed by using convolutional smoothing filtering method to carry out data Smoothing and normalization are used to effectively reduce the interference of outliers on the subsequent model training. …”
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Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…This study extends the optimization problem to a multi-objective framework that incorporates the minimization of CO₂ emissions under a real annual energy mix while also accounting for user discomfort. …”
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Otimização conjunta de gráficos de X-barra - S ou X-barra - R: um procedimento de fácil implementação Joint optimization of X-bar - S or X-bar - R charts: an easily implemented pro... by Eugenio K. Epprecht, Adriana Leiras

“…<br>A model is developed for optimum choice of the operation parameters for X-bar - R (or X-bar - S) charts, which minimizes the ratio of sampling costs to detection speed of shifts in the process mean or increases in the process dispersion. Three alternative problem formulations are allowed: minimization of the average time to signal subject to a sampling cost constraint; minimization of the sampling cost subject to a constraint on the average times to signal; and multi-objective optimization of both the average time to signal and the sampling cost. …”
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The unpaired operation of urban rail transit by TIAN Peining, MAO Baohua, ZHOU Qi, HUANG Junsheng, ZHANG Haoxiang, GAO Qiqi

“…In order to solve the problem of waste of transport resources on tidal lines of urban rail transit due to uneven passenger flow, during the transition from morning peak to afternoon peak and from afternoon peak to evening peak, the unpaired operation method using the existing parking lines to store cars is proposed. …”
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AoI-enabled multi-node cooperative sensing based on integration of sensing, communication, and computing in vehicular networks by Yiqing ZHOU, Haoyue ZHANG, Yanli QI, Qing CAI, Ling LIU, Jiangzhou WANG

“…For the requirements of real-time services in autonomous driving systems, such as high-definition (HD) maps, based on the integration of sensing, communication, and computing, a multi-node cooperative sensing mechanism was proposed with the age of information (AoI) as the real-time indicator.Considering the constraints on communication and computing resources and vehicle energy consumption, the information collection, transmission and processing of sensing nodes were optimally scheduled to minimize the AoI averaged over time.A Lyapunov-based online scheduling algorithm was proposed to transform the long-term stochastic optimization problem into an online optimization problem, which could be solved with low complexity.Compared with the existing mechanism considering integrated communication and computing, the proposed mechanism can improve real-time performance by 9%～50%.…”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

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Identifying boundary conditions of an oil reservoir flow model from well pressure measurements. Part 1: Homogeneous reservoir by D. I. Usmanov, K. A. Potashev, D. R. Salimyanova

“…The coefficient was determined using an integral balance model of an interaction between the oil deposit and the outer region of the reservoir. The optimization problem of approximating the average reservoir pressure to the values obtained from the well pressure measurements was solved. …”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…The upper layer tackles the task assignment problem by formulating a multi-objective optimization model aimed at minimizing economic costs, delivery delays, and the number of UAVs deployed. …”
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Globalized parameter tuning of microwave passives by dimensionality-reduced surrogates and multi-fidelity simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Our procedure was comprehensively validated using four microstrip circuits and has demonstrated superiority over state-of-the-art benchmark methods. The average optimization cost is equivalent to only about ninety EM simulations. …”
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Parameter Estimation for Line Impedance in Distribution Network Based on μPMU Data by Zitong ZHANG, Qun ZHOU, Yulin DIAN, Zichao GUAN, Yue YIN, Minrui LENG, Xueshan LIU

“…And then by setting the objective function as the minimization of the difference between the calculated value and the measured value, the solution for impedance parameters is converted to a multi-objective optimization problem. Moreover, through designed experiments the weight coefficients of the objective function and the size of the dataset are determined appropriately to reduce the influence of errors on the solution results such that the model can be solved with higher accuracy. …”
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Monitored Reconstruction: Computed Tomography as an Anytime Algorithm by Konstantin Bulatov, Marina Chukalina, Alexey Buzmakov, Dmitry Nikolaev, Vladimir V. Arlazarov

“…This model allows to examine the tomographic reconstruction process as an anytime algorithm and consider a problem of finding the optimal stopping point, corresponding to the required number of X-ray projections for the currently scanned object. …”
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Understanding the ancient classic and famous prescriptions via the property of Chinese materia medica by Dan Qin, Dan Qin, He Zhang, Bin Du, Hui Wang, Ligang Liu, Yun Wang

“…We formulated the backward process as a constrained combinatorial optimization problem to rebuild ACFPs from their PCCMMs. …”
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Experimental feasibility of personalized functional neuromuscular stimulation stepping patterns developed in silico by Holly Warner, Holly Warner, Musa L. Audu, Musa L. Audu, Gabrielle C. Labrozzi, Gabrielle C. Labrozzi, Nathaniel S. Makowski, Nathaniel S. Makowski, Nathaniel S. Makowski, Ronald J. Triolo, Ronald J. Triolo

“…The optimized pattern reduced charge delivery by an average of 58% (35%–80% for eight of nine muscles) and improved the comfortability of left side muscle contractions. …”
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Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks by Mateusz Pabian, Dominik Rzepka, Mirosław Pawlak, Mirosław Pawlak, Marek Miśkowicz, Ryszard Sroka

“…This paper studies the problem of optimal event-based signal encoding if data are to be processed by a machine learning model, such as the spiking neural network (SNN). …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…In addition, our method’s processing time, which averaged 0.11 s, was significantly faster than that of previous approaches.…”
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Optimization of Magnetic Finishing Process and Surface Quality Research for Inner Wall of MP35N Cobalt–Chromium Alloy Vascular Stent Tubing Based on Plasma-Fused Al₂O<su... by Yusheng Zhang, Yugang Zhao, Qilong Fan, Shimin Yang, Shuo Meng, Yu Tang, Guiguan Zhang, Haiyun Zhang

“…The optimized model predicted an Ra value of 0.104 μm, while the average Ra value verified experimentally was 0.107 μm, with the minimum error being 2.9%. …”
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VMD‐FBCCA classification method for SSVEP brain–computer interfaces by Ping Tan, Fengsheng Wang, Kaijun Zhou, Yi Shen

“…Next, a particle swarm algorithm is employed to optimize the weights of the IMFs and reconstruct the EEG signals. …”
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AC contactor fault recognition based on ERF and BO-SVC by LIU Shuxin, QI Xinzhi, LYU Xianfeng

“…Following the feature extraction step, the selected optimal features are fed into BO-SVC recognition model. …”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…Hence, this paper examines the maximum use of PVs, ESS, and PHEV, and utilizes upstream electricity and selling energy simultaneously in single-objective and multi-objective problems to minimize three objective functions, such as the entire energy cost, peak-to-average ratio (PAR), and wasted energy of PV. …”
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