Fault Detection and Diagnosis for Gas Turbines Based on a Kernelized Information Entropy Model by Weiying Wang, Zhiqiang Xu, Rui Tang, Shuying Li, Wei Wu

“…Finally, we introduce the information entropy based decision tree algorithm to extract rules from fault samples. The experiments on some real-world data show the effectiveness of the proposed algorithms.…”
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Pedestrian Comfort Analysis and Parameterized Optimization Design for Raised Floors by Juanli Guo, Haonan Liang, Jiehui Wang, Yijie Cao

“…The study then quantitatively assesses the pedestrian comfort of raised floors based on natural frequency and peak acceleration measurements, proposing an optimization design method using a multi-island genetic algorithm (MIGA). By adjusting parameters such as the support leg distance, beam shape, and support board surface layer thickness, an optimal balance between pedestrian comfort and heat transfer performance is achieved. …”
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High-Speed Current dq PI Controller for Vector Controlled PMSM Drive by Mohammad Marufuzzaman, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, Tae Gyu Chang

“…FPGA implementation of the overall controlling algorithm will certainly trim down the execution time significantly to guarantee the steadiness of the motor. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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A Jump Diffusion Model with Fast Mean-Reverting Stochastic Volatility for Pricing Vulnerable Options by Joy K. Nthiwa, Ananda O. Kube, Cyprian O. Omari

“…Our proposed model was fitted to S&P 500 Index by maximum likelihood estimation for the mean and volatility processes and Gillespie algorithm for the jump process. The best model was selected based on AIC and BIC. …”
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Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis by Simon Fong, Suash Deb, Raymond Wong, Guangmin Sun

“…Classification algorithms in traditional data mining approach offer fair accuracy by training a classification model with the full dataset, in batches. …”
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Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model by Guillermo Napoleón Pelaez-Diaz, Rosa Vílchez-Vásquez, Antonio Huaman-Osorio, R. Mahaveerakannan, S. Pushpa, Nilesh Shelke, Sumitha Jagadibabu, Jenifer Mahilraj

“…We used a deep learning-based convolution neural network (CNN) classifier model to optimize the CNN algorithm parameter for better prediction. The enhanced particle swarm optimization (PSO) technique was used for optimization. …”
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Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit by Wenxin Li, Qiyuan Peng, Qinlin Li, Chao Wen, Yongxiang Zhang, Javad Lessan

“…To illustrate the model and solution methodology, the proposed model and solution algorithms are validated against train operation record from a URT line of Chengdu metro in China. …”
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A System on a Programmable Chip Architecture for Data-Dependent Superimposed Training Channel Estimation by Fernando Martín del Campo, René Cumplido, Roberto Perez-Andrade, A. G. Orozco-Lugo

“…This work describes a hybrid software-hardware FPGA implementation of a recent algorithm that belongs to the ST family, known as Data-dependent Superimposed Training (DDST), which does not need extra bandwidth for its training sequences (TS) as it adds them arithmetically to the data. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar, Pabitra Kumar Biswas, Chiranjit Sain, Furkan Ahmad, Rishiraj Sarker, Taha Selim Ustun

“…Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. …”
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Optimal nutritional intake for fetal growth by Chanakarn Kiataramkul, Graeme Wake, Alona Ben-Tal, Yongwimon Lenbury

“…The best solution is determined by requiring minimum total intake under which the preassigned birth weight is reached. The algorithm has been generalized to the case where the fetal weight depends in a detailed way on the cumulative intake, suitably discounted according to the history. …”
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Drought Monitoring during Growth Rangeland Coverage, Ardabil Province by saideh eiyni, saeide eini

“…Vegetation dispersal maps were based on decision tree tree classification algorithm and according to NDVI index for the studied months. …”
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Construction of Mutually Orthogonal Graph Squares Using Novel Product Techniques by A. El-Mesady, Omar Bazighifan

“…Mutually orthogonal graph squares are an area of combinatorial design theory that has many applications in optical communications, wireless communications, cryptography, storage system design, algorithm design and analysis, and communication protocols, to mention just a few areas. …”
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Zero-Shot Traffic Identification with Attribute and Graph-Based Representations for Edge Computing by Zikui Lu, Zixi Chang, Mingshu He, Luona Song

“…The gradient rejection algorithm and K-Nearest Neighbors are introduced to implement a two-stage method for general traffic classification. …”
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Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks by Viera Bartosova, Svetlana Drobyazko, Sergii Bogachov, Olga Afanasieva, Maria Mikhailova

“…The article is devoted to the problem of optimization of search request ranking algorithms in the digital information retrieval system. …”
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Research on Fault Feature Extraction of Hydropower Units Based on Adaptive Stochastic Resonance and Fourier Decomposition Method by Yan Ren, Jin Huang, Lei-Ming Hu, Hong-Ping Chen, Xiao-Kai Li

“…In order to effectively extract the characteristics of nonstationary vibration signals from hydropower units under noise interference, an adaptive stochastic resonance and Fourier decomposition method (FDM) based on genetic algorithm (GA) are proposed in this paper. Firstly, GA is used to optimize the resonance parameters so that the signal can reach the optimal resonance and the signal-to-noise ratio (SNR) can be improved. …”
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Evolutionary Computation and Its Applications in Neural and Fuzzy Systems by Biaobiao Zhang, Yue Wu, Jiabin Lu, K.-L. Du

“…In this paper, we first introduce evolutionary algorithms with emphasis on genetic algorithms and evolutionary strategies. …”
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Application of Customer Segmentation for Electronic Toll Collection: A Case Study by Chao Qian, Meng Yang, Peiqi Li, Shuguang Li

“…The whole-sample clustering analysis of ETC customers is accomplished with the Clustering LARge Applications (CLARA) algorithm while overcoming the invalidation problem of big data clustering. …”
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Optimization of multiple access in the energy harvesting wireless sensor network with delivery deadline constraint by Aoqin YANG, Aoyu GONG, Ting FANG, Lei DENG, Qiang LI, Yijin ZHANG

“…With the wide application of the energy harvesting wireless sensor network (WSN) in many real-time communication scenarios, such as environmental monitoring, industrial automation and battlefield surveillance, the multiple access of such WSN needs to take into account both the delivery deadline constraint of data packets and the energy harvesting dynamics of sensor nodes.Due to the inherent decoupling of interference, delivery urgency and remaining energy, the design and optimization of such multiple access are more challenging than that of traditional multiple access that only needs to take into account the packet traffic pattern.A centralized access scheme was designed with the access actions relying on the global knowledge of current delivery urgency and remaining energy.And then, to avoid the costly overhead in the centralized access, a decentralized access scheme was designed with the access probabilities merely relying on the local knowledge of delivery urgency and remaining energy.Under the objective of maximizing the network throughput, the centralized access schemes were formulated with complete and simplified knowledge as two Markov decision processes (MDPs), respectively, and the backward induction algorithm was used to obtain optimal centralized policies for these MDPs.Furthermore, the decentralized access was formulated with simplified knowledge as a decentralized MDP, and the Markov policy search was used to propose an ε-optimal decentralized policy.Simulations under a wide range of network configurations were provided to verify the effectiveness of the simplified modeling and demonstrate the performance advantage of the proposed polices.…”
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Looking for Peer Circles: Graph-Mining-Based Educational Assessment and Refinement Toward Physical Instructors by Yuhe Zhu

“…By applying an optimized algorithm to detect densely connected subgraphs, we group instructors into circles with shared instructional features. …”
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