Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Addressing computational time challenges of model predictive control with discrete space vector pulse width modulation (MPC-DSVPWM) poses a significant hurdle. …”
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An efficient algorithmic framework to minimize the summand matrix in binary multiplication by Amit Verma, Manish Prateek, Shiv Naresh Shivhare, Thipendra P. Singh, Anuj Kumar, Rakesh Ranjan, Rahul Priyadarshi

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Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study by Sunyoung Kim, Jaeyu Park, Yejun Son, Hojae Lee, Selin Woo, Myeongcheol Lee, Hayeon Lee, Hyunji Sang, Dong Keon Yon, Sang Youl Rhee

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Improving Orbit Prediction of the Two-Line Element with Orbit Determination Using a Hybrid Algorithm of the Simplex Method and Genetic Algorithm by Jinghong Liu, Chenyun Wu, Wanting Long, Bo Yuan, Zhengyuan Zhang, Jizhang Sang

Subjects: “…orbit prediction…”
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Aquaculture Prediction Model Based on Improved Water Quality Parameter Data Prediction Algorithm under the Background of Big Data by Yuan Jiang, Fei Yan

“…Considering the complex relationship between dissolved oxygen and water quality, combined with principal component analysis, a PCA-BP (principal component analysis back propagation) water quality prediction model was proposed. The parameters of PCA-BP water quality prediction model were optimized by genetic algorithm, the threshold and weight of BP neural network were determined, and an improved PCA-BP water quality prediction model was constructed. …”
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Dimension-reduction MUSIC for jointly estimating DOA and polarization using plane polarized arrays by Wei-jian SI, Tong ZHU, Meng-ying ZHANG

Subjects: “…DOA estimation;polarization sensitive array;dimension-reduction MUSIC algorithm;joint estimation…”
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Research on International Law Data Integrity Guarantee Based on Antiterrorism Prediction Algorithm by Huang Ru Qing

“…In order to improve the quality of international law data, this paper designs a method to ensure the integrity of international law data based on an antiterrorism prediction algorithm. On the basis of introducing random function and deep learning technology, the prediction model set is split through the trusted seed model, the model selection is completed through iterative optimization, and then new terrorism-related factors are added to obtain the new prediction model set, so as to complete the antiterrorism data prediction. …”
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Implementation of Fisher-Yates Shuffle and Fuzzy Tsukamoto in Nusantara Educational Game by Khairul Insan Karim, Chairunnisa Lamasitudju, Ryfial Azhar, Fizar Syafaat, Anisa Yulandari

Subjects: “…education game…”
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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…This paper proposes a computerised method for the multiparameter optimisation of predictive control algorithms for asynchronous electric drives. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…This study presents an AI-based fault prediction algorithm to enhance the safety and reliability of lithium-ion battery systems used in electric propulsion ships. …”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…An algorithm of sequential regression in predicting a random process and its a priori unknown parameters is the closest to the ideal algorithm of direct matrix inversion. …”
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Frost Resistance Prediction of Concrete Based on Dynamic Multi-Stage Optimisation Algorithm by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

“…Additionally, compared with the two mainstream optimisation algorithms (SCA and AOA), DMSOA-CatBoost also has obvious advantages in prediction accuracy and stability. …”
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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

“…In view of the problem that the key parameters <i>K</i> and <i>α</i> in VMD decomposition are difficult to determine manually, the maximum Pearson coefficient is taken as the optimization target, and the improved dung beetle algorithm is used to optimize within the value range of <i>K</i> and <i>α</i>, so as to obtain the IVMD algorithm. …”
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The Optimal Location of Interline Power Flow Controller in the Transmission Lines for Reduction Losses using the Particle Swarm Optimization Algorithm by Mehrdad Ahmadi Kamarposhti

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In Situ Calculation of Spaceflight Magnetometer Coupling Coefficients for Interference Removal Using the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN) by Alex P. Hoffmann, Mark B. Moldwin

“…We propose a novel method for in situ calculation of the gradiometric coupling coefficients, called the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN). …”
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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Aminu Aminu Muazu, Ahmad Sobri Hashim

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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

Subjects: “…point cloud reduction…”
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Distribution Network Reconfiguration for Power Loss Reduction and Voltage Profile Improvement Using Chaotic Stochastic Fractal Search Algorithm by Tung Tran The, Dieu Vo Ngoc, Nguyen Tran Anh

“…This paper proposes a chaotic stochastic fractal search algorithm (CSFSA) method to solve the reconfiguration problem for minimizing the power loss and improving the voltage profile in distribution systems. …”
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Shape-Matching: A Novel Algorithm To Define The Optimal Reduction Endpoint In Operative Management Of Proximal Humeral Fractures (PHF) by Simon Martin Lambert, Peter Varga, Martin Jaeger, Karen Mys, Luke Visscher, Sara Lindenmann, Torsten Pastor, Paolo Antonacci, Matthias Knobe

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A Low-Complexity Block Diagonalization Algorithm for MU-MIMO Two-Way Relay Systems with Complex Lattice Reduction by Lin Xiao, Shengen Liu, Dingcheng Yang

“…To reduce the complexity of proposed precoding scheme, we employ the QR decomposition and complex lattice reduction (CLR) transform to replace the two times singular value decomposition (SVD) of conventional BD-based precoding algorithm by introducing a combined channel inversion to eliminate the multiple users interference (MUI). …”
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