Analysis and application of Voronoi diagram by Petras Rupšys

“… In this paper an algorithm for constructing Voronoi diagram is given. …”
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Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

“…We propose a day-ahead charging strategy optimization algorithm based on intra-day optimization feedback information-gap decision theory (IGDT) and an improved grasshopper algorithm for intra-day charging strategy optimization. …”
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A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…ObjectiveGiven the inaccurate and low-efficiency manual statistics of the quantity of coals flushed out during borehole hydraulic flushing, this study proposed an intelligent identification method that combines YOLOv8n, ResNet34, and PP-OCRv4 algorithms. MethodsFirst, the first-level detection was completed using the YOLOv8n algorithm, which, combined with the ResNet34 and PP-OCRv4 algorithms via parallel cascade, was then employed to conduct second-level processing. …”
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Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach by Iqramul Haq, Md. Ismail Hossain, Ahmed Abdus Saleh Saleheen, Md. Iqbal Hossain Nayan, Mafruha Sultana Mila

“…Here we compare the results of the optimized SIR model and a well-known machine learning algorithm (PROPHET algorithm) for the forecasting trend of the COVID-19 pandemic. …”
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Analysis of Intelligent Transportation System Application Based on Internet of Things and Big Data Technology under the Background of Information Society by Di Wang, Weijing Xu, Xuesong Jia

“…The advantages and disadvantages of genetic algorithm and heuristic algorithm are analyzed, and ant colony algorithm is used for further optimization. …”
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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

“…Based on this, Partially Observable Deep Q-Network (PODQN), which is a DQN-based algorithm is proposed. The PODQN algorithm utilizes the Gated Recurrent Unit (GRU) to remember the past observation information. …”
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RETRACTED: Robot Path Planning Method Based on Indoor Spacetime Grid Model by Huangchuang Zhang, Qingjun Zhuang, Ge Li

“…On the basis of the model, a dynamic path planning algorithm for the robot in the complex time-varying indoor environment is designed, that is, the Spacetime-A* algorithm (STA* for short). …”
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Integrated Multiscale Latent Variable Regression and Application to Distillation Columns by Muddu Madakyaru, Mohamed N. Nounou, Hazem N. Nounou

“…All examples clearly demonstrate the effectiveness of the IMSLVR algorithm over the conventional methods.…”
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Revisiting a Cutting-Plane Method for Perfect Matchings by Chen, Amber Q., Cheung, Kevin K. H., Kielstra, P. Michael, Winn, Avery D.

“…We then give an explicit algorithm that exploits our method, and show that this new algorithm still runs in strongly polynomial time.…”
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Link-Based Signalized Arterial Progression Optimization with Practical Travel Speed by Wu Xianyu, Hu Peifeng, Yuan Zhenzhou

“…The link bandwidth optimization is built based on the improvement of Messer’s algorithm about bandwidth optimization. The arterial bandwidth optimization algorithm takes into consideration the weighted link bandwidth attainability while selecting phase sequences. …”
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Automated Detection of Microseismic Arrival Based on Convolutional Neural Networks by Weijian Liu, Haoyuan Chang, Yang Xiao, Shuisheng Yu, Chuanbo Huang, Yuntian Yao

“…The original data for 1555 segments and synthetic data of 7764 segments were detected using Akaike’s information criterion (AIC) algorithm, the time window energy eigenvalue algorithm, and the U-net model. …”
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Pareto-Optimization of HTS CICC for High-Current Applications in Self-Field by Giordano Tomassetti, Gianluca de Marzi, Giuseppe Celentano, Francesco Rizzo, Andrea Augieri, Antonio della Corte

“…Since the optimization process involved both integer and real geometrical variables, the choice of an evolutionary search algorithm was strictly necessary. The use of an evolutionary algorithm in the frame of a multiple objective optimization made it an obliged choice to numerically approach the problem using a nonstandard fast-converging optimization algorithm. …”
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2D-DOA Estimation for EMVS Array with Nonuniform Noise by Chang-Xin Cai, Guan-Jun Huang, Fang-Qing Wen, Xin-Hai Wang, Lin Wang

“…It is well known that existing subspace algorithm cannot directly be applied to a nonuniform noise scenario. …”
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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

“…To address this challenge, this work presents an algorithm for acquiring robotic skills through automatic and unsupervised segmentation. …”
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Strong barrier coverage of directional sensor networks with mobile sensors by Lu Zhao, Guangwei Bai, Hang Shen, Zhenmin Tang

“…And in comparison with the energy-efficient barrier coverage algorithm (previous works), the energy-efficient barrier repair algorithm increases by 18% of network lifetime on average.…”
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Research on High-Precision Attitude Control of Joint Actuator of Three-Axis Air-Bearing Test Bed by Zhiming Chen, Zhouhuai Luo, Yunhua Wu, Wei Xue, Wenxing Li

“…The results show that the control algorithm has higher control accuracy than the traditional control algorithm, and the control accuracy is better than 0.1∘ and basically meets the attitude control requirements of the ground simulation in-orbit satellite.…”
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model by Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao

“…So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements. …”
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Hierarchical Multiobjective Dispatching Strategy for the Microgrid System Using Modified MOEA/D by Xiaofeng Wan, Hai Lian, Xiaohua Ding, Jin Peng, Yining Wu

“…Furthermore, the study presents a modified MOEA/D algorithm to solve the hierarchical scheduling problem. …”
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A Novel MOEA/D for Multiobjective Scheduling of Flexible Manufacturing Systems by Xinnian Wang, Keyi Xing, Chao-Bo Yan, Mengchu Zhou

“…A type of a discrete differential evolution (DDE) algorithm is also developed for solving each subproblem. …”
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Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles by Ning Wang, Jiahui Guo

“…After that, the Kuhn–Munkres algorithm is set as the baseline method to solve the first model to achieve optimal multiaction allocation instructions for SAEVs, and the combination of deep Q-learning algorithm and Kuhn–Munkres algorithm is designed to solve the second model to realize the global optimization. …”
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