Hybrid Denoising Algorithm for Architectural Point Clouds Acquired with SLAM Systems by Antonella Ambrosino, Alessandro Di Benedetto, Margherita Fiani

“…This work presents the implementation of a denoising algorithm for point clouds acquired with LiDAR SLAM systems, aimed at optimizing data processing and the reconstruction of surveyed object geometries for graphical rendering and modeling. …”
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An Out Space Accelerating Algorithm for Generalized Affine Multiplicative Programs Problem by Lei Cai, Shuai Tang, Jingben Yin, Zhisong Hou, Hongwei Jiao

“…Thirdly, based on the out space partition and the linear relaxation programs problem, we construct an out space branch-and-bound algorithm. Fourthly, to improve the computational efficiency of the algorithm, an out space reduction operation is employed as an accelerating device for deleting a large part of the investigated out space region. …”
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GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

“…For designing PMSM, evolution algorithms are more attractive approach. Genetic algorithm is one of the most common. …”
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Study of Assisted Control Algorithm for Wind Turbines Based on LiDAR by TANG Shuai, CHANG Sheng, ZHOU Jian, JIANG Tao

“…Moreover, a gust control algorithm is designed for conditions with extreme changes in wind speed and direction, leading to effective reductions in the ultimate load of the tower base Mxy by about 15%, the stationary hub Myz by about 12%, and the yaw system Mxy by about 15%. …”
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An Algorithm for Motion Estimation Based on the Interframe Difference Detection Function Model by Tengfei Zhang, Huijuan Kang

“…In this paper, we simulate the estimation of motion through an interframe difference detection function model and investigate the spatial-temporal context information correlation filtering target tracking algorithm, which is complex and computationally intensive. …”
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Increasing clinicians’ suspicion of ATTR amyloidosis using a retrospective algorithm by Jessica Ammon, John Alexander, Woodson Petit-Frere, Deya Alkhatib, Aranyak Rawal, Grace Newman, Oguz Akbiligic, Brian Borkowski, John Jefferies, Isaac B. Rhea

“…Conclusion The results of this study suggest that using this algorithm, despite it not being independently predictive of ATTR, did result in our clinicians having a lower threshold for testing for ATTR. …”
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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts by Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

“…ObjectiveLeveraging machine learning (ML) algorithms, this study aimed to develop and validate risk prediction models to identify infant RWG by the age of 1 year. …”
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SPEEDING ALGORITHM FOR MINIMAX OPTIMIZATION OF ALLOCATION PROBLEM SOLUTIONS IN HOMOGENEOUS SYSTEMS by Rudolf Anatolyevich Neydorf, Artem Alexandrovich Zhikulin

“…(Such problems cannot be solved by the classical algorithm due to the limited timing budgets.) The results of processing these solutions have shown that the new modification does not solve the problem of NP-complete allocation tasks, but it provides a resource-time gain associated with the significant reduction in the exponential model index of the average solution time.…”
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A Linear Fitting Algorithm Based on Modified Random Sample Consensus by Yujin Min, Yun Tang, Hao Chen, Faquan Zhang

“…Experimental results demonstrate that the proposed improved RANSAC linear fitting algorithm outperforms the Weighted Least Squares, traditional RANSAC, and Maximum Likelihood Estimation methods, achieving a reduction in the sum of squared residuals by 29%, 16%, and 8%, respectively.…”
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An automated parallel genetic algorithm with parametric adaptation for distributed data analysis by Laila Al-Terkawi, Matteo Migliavacca

“…Abstract Unleashing the potential of large-scale data analysis requires advanced computational methods capable of managing the immense size and complexity of distributed data. Genetic algorithms (GAs), known for their adaptability, benefit significantly from parallelization, prompting ongoing enhancements to boost performance further. …”
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A Hybrid Optimization Algorithm for the Synthesis of Sparse Array Pattern Diagrams by Youzhi Liu, Linshu Huang, Xu Xie, Huijuan Ye

“…The simulation results demonstrate that for sparse linear arrays, planar rectangular arrays, and multi-ring concentric circular arrays, the proposed algorithm achieves a sidelobe level (SLL) reduction exceeding 0.24 dB compared to conventional approaches, including the grey wolf optimizer (GWO), the whale optimization algorithm (WOA), and classical PSO. …”
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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

“…This study investigates the use of machine learning to predict weight deviations in the Urea Bagging Unit at PT Petrokimia Gresik. …”
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Improved sliding mode control for induction motor based on twisting algorithm by Hadda Benderradji, Samira Benaicha, Larbi Chrifi Alaoui

“…The comparison between the results of the two proposed methods shows that the second-order sliding mode control using the twisting algorithm not only guarantees the same robustness and dynamic performances of traditional first-order sliding mode control but also achieves the reduction of the chattering phenomenon.…”
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Lead Time for Cities of Northern India by Using Multiparameter EEW Algorithm by Rakhi Bhardwaj, Mukat Lal Sharma

“…Such larger estimated lead times to these densely populated cities show that EEW can successfully work as one of the important real-time earthquake disaster reduction measures in Northern India.…”
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Development of a Quantitative Assessment Algorithm for Operational Risks in Mining Engineering by Marina Nevskaya, Anna Shabalova, Liubov Nikolaichuk, Natalya Kirsanova

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Adaptive Radio Access Technology Selection Algorithm for Heterogeneous Wireless Networks by Folashade Olamide Ariba, Festus Kehinde Ojo, Zachaeus Adeyemo

“…The proposed algorithm resulted in the call blocking probability reduction by 0.03 for GERAN and 0.14 for UTRAN as validated with the existing algorithm based on load balancing, service-based and priority-based. …”
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Research on Short-term Load Forecasting Algorithm Based on VMD and TCN by WANG Qing, CHEN Zhiru, LI Guimin, JING Zhen, ZHANG Zhi, WANG Pingxin, CUI Qi

“…The simulation results show that the forecasting effect of VMD-TCN is the best, MAPE and RMSE are 1. 65% and 15. 05kW, respectively, indicating that the algorithm can be used to achieve accurate short-term forecasting of the station load, so as to facilitate the dispatch management, optimization operation, energy saving and emission reduction of the station. …”
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Correlation Filtering Algorithm of Infrared Spectral Data for Dim Target Tracking by Wenjian Zheng, An Chang, Qi Wang, Jianing Shang, Mandi Cui

“…After the image noise reduction processing by the mean shift filtering algorithm, the infrared small and weak target image data model is constructed by using the denoised infrared small and weak target image. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

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Sectoring Approach for Performance Enhancement of MTT and Its Application on JPDA Algorithm by Mustafa Latif Cobankaya, Alaa B. Elrouby

“…Recent advancements in multi-target tracking (MTT) technologies and algorithms have led to improved accuracy and efficiency in tracking multiple objects in dynamic environments. …”
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