Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm by Chenyang Liu, Xinmin Hu, Ren Yao, Yalu Han, Yong Wang, Wentong He, Huabin Fan, Lizhi Du

“…Apparently, it has great meaning to accurately predict conductivity around a site through easily accessible parameters. …”
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Hammerstein Nonlinear Active Noise Control with the Filtered-Error LMS Algorithm by Krzysztof MAZUR, Marek PAWEŁCZYK

“…The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. …”
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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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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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Examination Database and Online Paper Forming Algorithm for Mobile Personalized Learning Test by Wanwu Li, Lin Liu, Hui Zhang, Jinhong Li, Zhi Wang

“… It is crucial to advance network education exam informatization and mobile learning. …”
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Multi-Objective Portfolio Optimization Strategy Using the SPEA-II Algorithm by Alireza Azarberahman, Malihe Tohidinia, Hossein Aliakbarzadeh

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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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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The study results show that the K-means clustering method can effectively avoid the subjective negative impact caused by artificial division thresholds, continuously optimize the prediction process of financial risk and redistribute target dataset to each cluster center for obtaining optimized solution, so the algorithm can more accurately and objectively distinguish the state interval of different financial risks, determine risk occurrence possibility and its severity, and provide a scientific basis for risk prevention and management. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…A number of optimization techniques have been adopted: Particle Swarm Optimization (PSO), Dragonfly Algorithm (DA), Harris Hawk Optimizer (HHO), Rhinoceros Search Algorithm (RSA), Artificial Hummingbird Algorithm (AHA), and its enhanced version, Enhanced artificial hummingbird algorithm (EAHA). …”
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Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study by Giovanni Sartore, Eugenio Ragazzi, Francesco Pegoraro, Mario German Pagno, Annunziata Lapolla, Francesco Piarulli

“…The individual risk of developing DPN was calculated using the AI-based MetaClinic Prediction Algorithm and compared with the DPN diagnosis provided by the digital biothesiometer method, which measures the vibratory perception threshold (VPT) on both feet. …”
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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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