A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion by Xiafei Long, Ping Yang, Hongxia Guo, Zhuoli Zhao, Xiwen Wu

“…In this paper, a novel fault diagnosis methodology based on a cloud bat algorithm (CBA)-kernel extreme learning machines (KELM) approach for wind turbines is proposed via combination of the multisensor data fusion technique and time-domain analysis. …”
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Flatness-Based Motion Planning and Control Strategy of a 3D Overhead Crane by Van Chung Nguyen, Hue Luu Thi, Hoa Bui Thi Khanh, Danh Huy Nguyen, Minh Nhat Vu, Tung Lam Nguyen

“…To fill this gap, we developed a time-optimal motion planning algorithm based on differential flatness theory incorporating dynamic constraints and Control limits. …”
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Distributed Synchronization Control to Trajectory Tracking of Multiple Robot Manipulators by Yassine Bouteraa, Jawhar Ghommam, Gérard Poisson, Nabil Derbel

“…Based on the well-known consensus algorithm, the control strategy consists in synchronizing the joint position and the velocity of each robot in the network with respect to neighboring robots' joints and velocities. …”
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Spread Sea Clutter Suppression in HF Hybrid Sky-Surface Wave Radars Based on General Parameterized Time-Frequency Analysis by Zhuo-qun Wang, Ya-jun Li, Jun-nan Shi, Peng-fei Wang, Ai-hua Liu, Xin-fan Xia, De-hong Chen

“…Then, the forward-backward linear prediction (FBLP) algorithm is used to suppress the spread sea clutter caused by bistatic angle. …”
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Blind Channel Estimation Based on Multilevel Lloyd-Max Iteration for Nonconstant Modulus Constellations by Xiaotian Li, Jing Lei, Wei Liu, Erbao Li, Yanbin Li

“…Moreover, when the number of received symbols is small, we propose the lacking constellations equalization algorithm to reduce the influence of lacking constellations. …”
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Beam Tilt Aberration Detection of the Seven-Unit Phased Fiber Laser Array by Xin Yu, Xingyue Wang, Jing Liang, Cai Liu, Xiaolong Ni, Suping Bai, Jiasu Li, Zeping Liu, Lijie Hou

“…It could not only directly detect the beam’s tilt angle but also maintained detection accuracy while reducing the algorithm complexity.…”
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Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

“…This study examines the effectiveness of expert frameworks in determining compressive strength, aiming to enhance accuracy through the development of a master artificial neural network (ANN) system utilizing the sonar inspired optimization (SIO) algorithm. The ANN model employs exploratory data to establish initial optimal weights and biases, thereby improving precision. …”
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Improvement of the methodology for assessing power losses in in-plant power grids by Petrov A. R., Gracheva E. I., Miftakhova N. K.

“…In the course of the study, a structural diagram and an algorithm for determining the equivalent resistance of the section of the shop network have been proposed; the main factors determining the equivalent resistance of the circuit (resistance of low-voltage switching devices, heating temperature of conductors, ambient temperature, equipment load factor) have been identified; graphical dependencies of the change in the equivalent resistance of the radial and trunk sections of the circuit on the mean square equipment load factor and the heating temperature of conductors have been shown. …”
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Multiobjective Synthesis of Steerable UWB Circular Antenna Array considering Energy Patterns by Leopoldo A. Garza, Marco A. Panduro, David H. Covarrubias, Alberto Reyna

“…The method of Differential Evolution for Multiobjective Optimization (DEMO) is used as the optimization algorithm in this work. This design of steerable UWB circular arrays considers the optimization of the true-time exciting delays and the amplitude coefficients across the antenna elements to operate with optimal performance in the whole azimuth plane (360°). …”
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Improvement of crack tip position estimation in DIC images by image processing methods by Najat Zekriti, Fatima Majid, Hachimi Taoufik, Yassine Tounsi, Rajaa Rhanim, Ibrahim Mrani, Hassan Rhanim

“…However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. …”
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Multiobjective Optimization of Precision Forging Process Parameters Based on Response Surface Method by Fayuan Zhu, Zhaohui Wang, Mi Lv

“…Nondominated sorting genetic algorithm-II (NSGA-II) was adopted to obtain the Pareto-optimal solutions. …”
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Reinforcement Learning for Reconfigurable Robotic Soccer by M. Shameer Ahamed, J. J. J. Pey, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…RL was used with the Proximal Policy Optimisation (PPO) algorithm to train and optimise goal scoring. The environment was developed and trained in Unity. …”
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Long‐Term Observations of Galactic Cosmic Ray LET Spectra in Lunar Orbit by LRO/CRaTER by M. D. Looper, J. E. Mazur, J. B. Blake, H. E. Spence, N. A. Schwadron, J. K. Wilson, A. P. Jordan, C. Zeitlin, A. W. Case, J. C. Kasper, L. W. Townsend, T. J. Stubbs

“…We have used the Geant4 radiation‐transport code to devise a background‐rejection algorithm to improve these measurements of LET under 9.9 g/cm2 of shielding, and the resulting observations show the changing radiation effects of GCRs as their intensity and spectrum vary with solar modulation. …”
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Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation by Luigi Bruno, Paolo Addesso, Rocco Restaino

“…In this paper we propose a localization algorithm which takes into account the nonstationarity of the working conditions by estimating and tracking the key parameters of RSS propagation. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

“…Values of the regularization or penalty term of the quantum scalar field has critical role to matching this two mentioned metric. Also, we design an algorithm which helps us to find optimum value for learning parameter and finally, we understand that loss function convergence heavily depends on the number of epochs and learning rate.…”
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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…By the comparative study with the Laplacian of Gaussian (LoG) algorithm and the Otsu method, the proposed DCNN had good robustness which can avoid the interference of cracks, color-differences, and nonuniform illumination on the concrete surface.…”
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Distributed secondary control for DC microgrids using two-stage multi-agent reinforcement learning by Fei Li, Weifei Tu, Yun Zhou, Heng Li, Feng Zhou, Weirong Liu, Chao Hu

“…The multi-agent Proximal Policy Optimization (PPO) algorithm is utilized to regulate the current and voltage of each node in the microgrids. …”
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Single-epoch power positioning method for multi-beam LEO communication satellites by Sibo Gao, Sibo Gao, Chunjiang Ma, Chunjiang Ma, Xiaomei Tang, Xiaomei Tang, Feixue Wang, Feixue Wang

“…It establishes a power observation equation system, initializes with the nearest neighbor algorithm, and refines with the least squares method. …”
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Application of Harmony Search to Design Storm Estimation from Probability Distribution Models by Sukmin Yoon, Changsam Jeong, Taesam Lee

“…The HS is compared to the genetic algorithm (GA) and ML via simulation and case study. …”
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Two-Stage Black-Start Optimization for Power Systems with Multi-Energy Microgrid as a Black-Start Unit by ZHU Yongqing, CHEN Changming, LI Qingsheng, LI Zhen, ZHANG Zhaofeng, LIN Zhenzhi

“…Next, a two-stage optimization model for black start of power systems using the multi-energy microgrid as a black-start source is proposed, with the first stage being the optimization sub-model for non-black-start source restoration path and the second stage being the black-start strategy optimization sub-model considering the power system and the MEMG. Then, a Dijkstra’s algorithm-based solution method for the first stage sub-model and a mixed integer quadratic programming-based solution method for the second stage sub-model are respectively proposed. …”
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