Interference Mitigation Based on Low Complexity Subspace Tracking Method for Vehicle Positioning by Ping Zhang, Qiang Wu, Binbin Jing

“…The proposed framework has superior performance than the well-known time-frequency algorithm, such as short-time Fourier transform (STFT) and smoothed pseudo Wigner-Ville distribution (SPWVD), and can improve the performance of INS/GNSS system in the presence of interference with simulation verification.…”
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Application of CAD Technology in Extracting Line Feature of Industrial Part Image by Fei Li

“…The experimental results show that the above algorithm is used to extract the line features of real industrial part images, and the median error of the difference between the reconstructed line length and the line length measured by the vernier caliper is 0.232 mm. …”
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Energy efficient control of indoor environments under time-varying multi-parameter uncertainty by Jianhao ZHAO, Hua SONG, Xinyuan NAN, Xin CAI

“…Experiments show that the proposed DDPG-PER algorithm can control the indoor environment within the required range by combining multiple time-varying parameters under different outdoor air quality conditions in winter and summer seasons. …”
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Balance Design and Optimization of Swing Force of the New Spatial 1T1R Parallel Mechanism by Wang Linping, Shen Huiping, Li Ju, Nie Yabiao, Chen Bingwei

“…Finally, considering the practical principle, further study the balance optimization of the pendulum force part, and use the genetic algorithm to obtain the optimal counterweight mass and counterweight position, and compare the balance before and after. …”
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Financial development, research in finance, and economic growth by Chadi Azmeh, Marwan Al-Raeei

“…Utilizing the two-step system GMS method and the Runge-Kutta framework, the research defines and addresses a differential equation, achieving remarkable precision in economic modeling by fine-tuning step sizes and adapting the algorithm to the specific economic context. Key findings indicate that both the quantity and quality of research output in finance are crucial drivers of financial innovation, which fuels economic growth. …”
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Low‐rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy by Di Guo, Jiaying Zhan, Yirong Zhou, Zhangren Tu, Zifei Zhang, Zhong Chen, Xiaobo Qu

“…The authors introduce the low‐rank constraint as an effective remedy to remove these artefacts and derive a fast algorithm to solve the reconstruction problem. Results on both synthetic and realistic DOSY spectra show that a better spectrum and more accurate diffusion coefficients can be achieved.…”
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A New Decision Support Framework with Picture Fuzzy Information: Comparison of Video Conferencing Platforms for Higher Education in India by Sanjib Biswas, Dragan Pamucar, Paramita Chowdhury, Samarjit Kar

“…The purpose of this paper is to present a novel extension of a very recently developed multicriteria decision making (MCDM) algorithm known as the preference ranking on the basis of ideal-average distance (PROBID) method in a picture fuzzy (PF) environment. …”
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Incisor Malocclusion Using Cut-out Method and Convolutional Neural Network by Muhamad Farhin Harun, Azurah A Samah, Muhammmad Imran Ahmad Shabuli, Hairudin Abdul Majid, Haslina Hashim, Nor Azman Ismail, Syiral Mastura Abdullah, Aspalilah Alias

“…In addition, unstructured images with varying sizes and the problem of a machine learning algorithm that does not focus on the region of interest (ROI) for incisor features bring challenges in delivering the treatment. …”
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Enhancing Solar Energy Prospects: Predicting Direct Normal Irradiance in Qinghai Province Using ALO-RF Modeling by MD Abdul Munnaf, Tawhidul Islam

“…This study uses the Genetic algorithm, Moth Flame Optimization, and Ant Lion Optimizer to optimize the Random Forest model. …”
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Integration of Non-Destructive Testing Technologies for Effective Monitoring and Evaluation of Road Pavements by Christina Plati, Angeliki Armeni, Andreas Loizos

“…The procedure, referred to as Integrated Testing and Evaluation (ITE), is proposed as an algorithm to find optimal strategies for prioritizing potential pavement interventions, considering the budget constraints for the required investigations.…”
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Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS) by Mostafa Ahmed, Shaaban Heba

“…A multivariate regression model using the partial least squares regression (PLSR) algorithm was developed and calculated. The MCR-ALS results were compared with the PLSR obtained results. …”
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The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke by Sergi Bermúdez i Badia, M. S. Cameirão

“…Finally, an adaptive algorithm for the personalization of training considering motivational and performance aspects is proposed. …”
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A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data by Manolis Georgioudakis, Vagelis Plevris

“…The structural damage identification problem is treated as an unconstrained optimization problem which is solved using the differential evolution search algorithm. The objective function used in the optimization process is based on a combination of two modal correlation criteria, providing a measure of consistency and correlation between estimations of mode shape vectors. …”
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Gaussian Mixture Model-Based Vector Approach to Real-Time Three-Dimensional Path Planning in Cluttered Environment by Abera Tullu, Yunsang Cho, Sangho Ko

“…This work presents an obstacle-free three-dimensional (3D) path planning algorithm for unmanned aerial vehicles (UAV) navigating in cluttered environments. …”
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Fault Estimation Method for Nonlinear Systems With Perturbations Based on Augmented Fault Observer by Yanxiu Sun, Ying Du, Yuping Zhang

“…Specifically, a singular system is constructed by combining the state vector of the system with the fault vector of the sensor, and an augmented fault observer is designed by combining the fault estimation algorithm of the adaptive actuator. First, an augmented fault observer for linear systems with perturbations is designed, and the sufficient conditions for the asymptotic stability of the observation error system are ascertained so that the state of the singular system can be observed. …”
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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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Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering by Fei Cheng, Jun Yang, Ziwen Zhang, Jingliang Yu, Xuelian Wang, Yongdong Wu, Zhengyi Guo, Hui Li, Meng Xu

“…The original fuzzy clustering method is improved, and the IWFCM_CCS algorithm based on competitive merger strategy is obtained. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…The system consists of a genetically weighted ensemble of convolutional neural networks; we show that a weighted ensemble of classifiers using a genetic algorithm yields a better classification confidence. …”
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Aggregating Contextual Information for Multi-Criteria Online Music Recommendations by Jieqi Liu

“…On the CAL500 dataset, CAMCMusic outperforms the FM algorithm by 11.9% in precision, 16.4% in recall, and 20% in F1-Score. …”
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A Methodology for Clustering Items with Seasonal and Non-seasonal Demand Patterns for Inventory Management by Burak Kandemir

“…In this paper, we propose two algorithms, one based on statistical analysis and the other an unsupervised machine learning algorithm using K-means clustering, both of which differ-entiate seasonal and non-seasonal products where an item’s variation is evaluated with respect to seasonality of the product group it belongs to. …”
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