TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance by Xuanbai Yu, Olivier Caspary

“…These findings offer new insights to support reliable predictive maintenance in industrial settings and provide a new perspective for future research into active vibration control, where vibration signal analysis, feature extraction, and mathematical modeling play key roles in optimizing control algorithms and enhancing the efficiency of adaptive control systems.…”
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Personalization of Robot Behavior Using Approach Based on Model Predictive Control by Mateusz Jarosz, Bartlomiej Sniezynski

“…The results suggest that the proposed approach for robot behavior adaptation based on MPC works well, and the recommended algorithm for the user model is LGBM.…”
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Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…The use of remote sensing data in conjunction with ML algorithm results in tremendous increase in predictive capability that facilitates timely interventions and directed management strategies. …”
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Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

“…Ensemble learning exhibits the highest overall accuracy, while SVM and ANN demonstrate strengths in specific aspects of prediction. The study concludes that Machine learning algorithms, particularly ensemble learning, hold significant promise for improving CVD risk assessment. …”
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Algorithm for cavo-tricuspid isthmus flutter on surface ECGs: the ACTIONS study by Daniel R Frisch, Eitan Frankel, Deanna Gill, Jad Al Danaf

“…Using the electrophysiology study as the gold standard, the algorithm had an accuracy of 81%, sensitivity of 81%, specificity of 82%, positive predictive value of 78% and negative predictive value of 84% in identifying CTI-AFL.Conclusion We developed a three-step ECG algorithm that provides a simple, sensitive, specific and accurate tool to identify CTI-AFL.…”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…Linear discriminant analysis (LDA) is a supervised learning dimensionality reduction technique that has been widely used in data preprocessing for dimensionality reduction and video image processing tasks. …”
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New Predictive Models for the Computation of Reinforced Concrete Columns Shear Strength by Anthos I. Ioannou, David Galbraith, Nikolaos Bakas, George Markou, John Bellos

“…Significantly improved predictive models are proposed herein through the implementation of machine learning (ML) algorithms on refined datasets. …”
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A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors by Ahmad Aminzadeh, Sasan Sattarpanah Karganroudi, Soheil Majidi, Colin Dabompre, Khalil Azaiez, Christopher Mitride, Eric Sénéchal

“…Integrating machine learning algorithms leveraged by advanced data acquisition systems is emerging as a pivotal approach in predictive maintenance. …”
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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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Fuzzy kernel feature selection with multi-objective differential evolution algorithm by Emrah Hancer

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Delay constraint minimum interruption routing algorithm for mobile satellite network by ZHANG Tao, LIU Zhong-kan, ZHANG Jun

“…By the analysis of the characteristics of mobile satellite network,such as a long delay and a topological time-varying,a novel satellite network delay constraint optimal path（SDCOP）algorithm,which could obtain a path to sat-isfy the delay constraint condition as well as the minimization of interruption during the service,was proposed.This algo-rithm exploits the predictive nature of connectivity changes of time-varying topological to decrease the influence in the QoS routing performance caused by the handover.Besides,it has a low computing complexity to adapt to the restricted computing capability of satellite equipments.Correlative simulation indicates that this novel algorithm is superior to other current algo-rithm in respect of computing complexity,service blocking probability and interrupting probability etc.…”
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Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…Actual application results in a coal mine demonstrated that the AROA-based algorithm reduced the fan airflow by 11.2%, while the fan air pressure decreased by 10.1%, ultimately achieving a 20.7% reduction in power consumption. …”
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Optimization of stamping workshop line layout based on improved PSO algorithm by Yaxuan Bi, Xin Ning, Shuai Zhao

“…Additionally, the enhanced algorithm outperformed traditional PSO in terms of convergence speed and solution quality. …”
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DATA DRIVEN RULE-BASED PEAK SHAVING ALGORITHM FOR SCHEDULING REFRIGERATORS by Daniel KWEGYIR, Francis Effah BOAFO, Daniel OPOKU, Emmanuel Asuming FRIMPONG

“…In the real-time mode, the algorithm dynamically adjusts refrigerator operations based on real-time mismatch calculations between predicted demand and generation. …”
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Genetic algorithm feature selection resilient to increasing amounts of data imputation by Maryam Kebari, Annie S Wu

“…This paper investigates the robustness of a genetic algorithm (GA) in feature selection across a dataset with increasing imputed missing values. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. …”
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Optimizing PEMFC parameter identification using improved pufferfish algorithm and CNN by Ji Li, Changiz Bastani

“…In this research, a novel approach has been proposed for enhancing the accuracy of proton exchange membrane fuel cell (PEMFC) models based on convolutional neural networks (CNNs) and an improved optimization method (called the improved pufferfish optimization algorithm). This method has been suggested to improve the predictive performance of the model by optimizing the estimation of PEMFC parameters. …”
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Binocular stereo vision-based relative positioning algorithm for drone swarm by Qing Cheng, Yazhe Wang

“…This model achieves a 65.5% reduction in parameter count, a 62.7% reduction in FLOPs, and a 1.8% increase in accuracy compared to the original detection model. …”
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The Principle of Intelligent Switch Composition and Algorithm of the Built-In Electronic Voltage Transformer by Xinhui Cao, Yuting Dong, Zhongzheng Li, Juan Li, Gang Liang, Honglian Zhou

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Visual System Inspired Algorithm for Enhanced Visibility in Coronary Angiograms (VIAEVCA) by Hedva Spitzer, Yosef Shai Kashi, Morris Mosseri, Jacob Erel

“…Numerous efforts have been invested in previous algorithms to expose and enhance blood vessel (BV) visibility derived from clinical coronary angiography (CAG) procedures, such as noise reduction, segmentation, and background subtraction. …”
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