Online stability assessment for isolated microgrid via LASSO based neural network algorithm by Ahmed Lasheen, Hatem F. Sindi, Hatem H. Zeineldin, Mohammed Y. Morgan

“…Online prediction of the dominant modes is very important for microgrid operation. …”
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Calibrating Microscopic Traffic Simulation Model Using Connected Vehicle Data and Genetic Algorithm by Abolfazl Afshari, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…Results showed significant improvements, including a 14.19% reduction in mean error, an 18.27% reduction in median error, and a 22.57% reduction in the 75th percentile error during calibration. …”
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Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91 by Vikas Marakini, Srinivasa Pai P, Grynal D’Mello, Udaya K Bhat, DineshSingh Thakur, Bhaskara P Achar

“…The study's input parameters are the depth of cut, feed rate, and cutting speed. Modeling and prediction studies have been conducted using Multi Layered Perceptron (MLP) Neural Network, and the output of this model has been considered as the objective function for the optimization algorithms. …”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…The study involved the acquisition of a dataset comprising healthy and faulty conditions of four 3-phase induction motors, along with relevant features for fault prediction. Multiple machine learning algorithms were trained using this dataset, exhibiting promising performance. …”
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Application of statistical methods for predicting udp-flood attacks by M. V. Tumbinskaya, V. V. Volkov, B. G. Zagidullin

“…Our empirical study was based on the following factors: the lack of effective means of protection against DDoS attacks, the specificity of UDP-flood attacks, and the lack of prediction models that adequately describe the process under study. …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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Double Filter and Double Wrapper Feature Selection Algorithm for High-Dimensional Data Analysis by Hong Chen, Yuefeng Zheng

“…With the advent of the big data era, we often deal with datasets containing a large number of redundant features, and in this context, dimensionality reduction of data becomes crucial. To address this issue, this study proposes a double filter and double wrapper (DFDW) feature selection algorithm for high-dimensional data. …”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific tool, sports training data analysis aims to provide decision support for athletes and coaches, optimize training programs and improve sports performance through accurate data mining and model prediction. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…At the target tracking stage, the so-called NGCTrack in our algorithm replaces IOU with GIOU and employs a modified NSA Kalman filter to adjust the state-space aspect ratio for width prediction. …”
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ANFIS algorithm for mapping computational data of water reservoir homogenization with air bubble flows by Lioua Kolsi, Iman Behroyan, Moustafa S. Darweesh, Badr M. Alshammari, T. Armaghani, Meisam Babanezhad

“…Finally, air vorticity was considered as the output parameter of the study in the predictions. Correlations were developed to predict the air vorticity in each node using x and z direction, air velocity, and pressure. …”
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Accounting and Financial Management Cost Accounting Integrating Rough Set Knowledge Recognition Algorithm by Xiaoli Liu

“…According to the discovery model of classification knowledge, the attribute reduction of decision table, classification rule reduction, and classification algorithm under the condition of missing attribute are discussed. …”
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Fall prediction based on biomechanics equilibrium using Kinect by Xu Tao, Zhou Yun

“…We evaluate the model and algorithm on an open database. The performance indicates that the fall prediction algorithm by studying human biomechanics can predict a fall (91.7%) and provide a certain amount of time (333 ms) before the elder injuring (hitting the floor). …”
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Research on optimization of indoor positioning batch ranging system based on DS-TWR algorithm by Hongwei SUN, Xuehong CAO, Liangbao JIAO, Lin MENG, Ziheng LIU, Feng YUAN

“…Aiming at the current problems of the ultra wide band (UWB) indoor positioning system based on the double sided two-way ranging (DS-TWR) algorithm, there are more communication times and a higher conflict rate in a multi-tag environment, an improved algorithm was proposed.The Hash algorithm to hash and distribute the communication content between the tag and the anchor was used, so that the anchor could reply to multiple tags in a regular and unified manner during each ranging process, which greatly reduced the number of times the anchor sends RES (responds) data.Experimental results show that the improved algorithms’ communication times between a tag and the anchor were reduced by 15% compared with the traditional DS-TWR algorithm, which increases the time proportion of the anchor receiving state in ranging, thereby reducing the anchor receiving RNG (range) data.The collision rate of packets, the success rate of ranging has increased by 43.6%.Due to the reduction in the number of communications required in each positioning cycle and the reduction in the collision rate between data packets, a smaller channel capacity would be required, thereby increasing the label capacity of the positioning system, which has strong engineering significance.…”
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A Correlation-Based Feature Selection Algorithm for Operating Data of Nuclear Power Plants by Yuxuan He, Hongxing Yu, Ren Yu, Jian Song, Haibo Lian, Jiangyang He, Jiangtao Yuan

“…The experiments and comparison results show that the proposed algorithm is effective in realizing the dimensionality reduction of nuclear power plant operating data.…”
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Human Motion Data Retrieval Based on Staged Dynamic Time Deformation Optimization Algorithm by Hongshu Bao, Xiang Yao

“…By extracting key frames from the original motion to perform horizontal dimensionality reduction and defining features based on Laban motion analysis, the motion segment is subjected to vertical feature dimensionality reduction. …”
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Author Correction: An improved polar lights optimization algorithm for global optimization and engineering applications by Tianping Huang, Faguo Huang, Zhaohui Qin, Jiafang Pan

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Parameter optimization of ship anti-roll gyro control system based on genetic algorithm by Tongtong QIE, Jianyong ZHENG, Lei ZHANG, Zhichu LEI, Xutao HE

“…Second, to address the balance between rocking reduction efficiency and system chatter, a parameter optimization method for the onboard anti-roll gyro control system based on a genetic algorithm is proposed. …”
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Wireless sensor network nodes localization method based on cellular automata bat algorithm by Kailu MENG, Keqiang YUE, Junna SHANG

“…To further enhance the location precision of unknown nodes and solve the node location error in wireless sensor network,a location method based on cellular automata bat algorithm was presented.Mixed the idea of cellular automata and the bat algorithm and drawed into the cellular RCS niche technique and disaster mechanism,the algorithm could jump out of local optimum and increase the convergence speed.In order to verify the feasibility and efficiency,the proposed algorithm was verified through simulation of several benchmark functions.Then the algorithm implemented the CA-BA to node location prediction to increase the precision of the unknown node location.In the measured experiment,the results show that the proposed algorithm has higher accuracy compared to the improved PSO algorithm,which average localization error is less than 0.5m.…”
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ALGORITHM DEVELOPMENT FOR ASSESSMENT OF ACCURACY POSITIONING SYSTEMS GLONASS/GPS WITH DIFFERENTIATED APPLICATION OF FERTILIZERS by G. I. Lichman, V. A. Kolesnikova, N. M. Marchenko, A. N. Marchenko

“…One of the directions of increase in fertilizers efficiency is reduction of nonuniformity of their distribution across the field. …”
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Multi-Criteria Genetic Algorithm for Optimizing Distributed Computing Systems in Neural Network Synthesis by Valeriya V. Tynchenko, Ivan Malashin, Sergei O. Kurashkin, Vadim Tynchenko, Andrei Gantimurov, Vladimir Nelyub, Aleksei Borodulin

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