Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…The sliding window method helped to determine the limits of the neural network triggering for the sliding window method were determined, which reached 7.5% of the diameter with lateral displacement and 12.5% with scaling. The developed algorithm automatically marked bubbles on microscopic images. …”
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Population features of prevalence and clinical-diagnostic role of NOD2 gene polymorphisms associated with Crohn’s disease by D. A. Kuznetsova, M. V. Merzlyakov, G. V. Vavin, A. S. Razumov, V. L. Emanue

“…It will allow not only to increase efficacy of early diagnosis and the CD risk prognosis, but to define environmental factors affecting clinical utilization of genetic factors that is a premise for development of pathogenic justified management algorithm encompassing both populationbased and regional factors.…”
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Effect of the Controllers With Control Delay on Vehicle-Guideway Coupling Vibration for Maglev Train at Standing Still by Keren Wang, Weihua Ma, Xiaohao Chen, Ruiming Zou

“…Initially, this study examined the impact of controller delays on the divergence rate between the vehicle and track beam when employing a double-loop PID control algorithm. Additionally, it analyzed how implementing a redundant control mode at levitation points influences vibration responses caused by these delays. …”
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Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique by Hafiz Ghulam Murtza Qamar, Xiaoqiang Guo, Ehab Seif Ghith, Mehdi Tlija, Abubakar Siddique

“…The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. …”
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Formation of an effective schedule of work during the construction of a monolithic reinforced concrete house by N. V. Ryazantseva, V. V. Zolotarev

“…In the course of the research, an algorithm for making specific decisions was developed. …”
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pyAKI-An open source solution to automated acute kidney injury classification. by Christian Porschen, Jan Ernsting, Paul Brauckmann, Raphael Weiss, Till Würdemann, Hendrik Booke, Wida Amini, Ludwig Maidowski, Benjamin Risse, Tim Hahn, Thilo von Groote

“…After implementation of the diagnostic algorithm, using both serum creatinine and urinary output data, pyAKI was tested on a subset of patients and diagnostic accuracy was compared in a comparative analysis against annotations by physicians.…”
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Assessment of Patients with a DePuy ASR Metal-on-Metal Hip Replacement: Results of Applying the Guidelines of the Spanish Society of Hip Surgery in a Tertiary Referral Hospital by Jenaro Fernández-Valencia, Xavier Gallart, Guillem Bori, Sebastián Garcia Ramiro, Andrés Combalía, Josep Riba

“…We present the results of the assessment of our patients treated with this device, according to the Spanish Society of Hip Surgery (SECCA) algorithm published in 2011. This retrospective study evaluates 83 consecutive ASR cups, followed up at a mean of 2.9 years. …”
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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…Finally, the hierarchical clustering method is used to distinguish between real modes of the structure. The proposed algorithm was implemented on a 6-degree-of-freedom structure and a real bridge. …”
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The formation, development and classification of rail corrugation: a survey on Chinese metro by Yang Wang, Hong Xiao, Zhihai Zhang, Xuhao Cui, Yihao Chi, Mahantesh M. Nadakatti

“…By employing t-distributed stochastic neighbor embedding (t-SNE) for dimensional reduction and employing the unsupervised clustering algorithm DBSCAN, the research redefines the classification of metro rail corrugation based on characteristic information. …”
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EMD-GM-ARMA Model for Mining Safety Production Situation Prediction by Menglong Wu, Yicheng Ye, Nanyan Hu, Qihu Wang, Huimin Jiang, Wen Li

“…First of all, according to the nonstationary characteristics of the mining safety accident time series, nonstationary original time series were decomposed into high- and low-frequency signals using the EMD algorithm, which represents the overall trend and random disturbances, respectively. …”
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Equiaxed growth of interacting Al–Cu dendrites in thin samples: a phase-field study at copper concentrations relevant for practical applications by Gong, Tong Zhao, Boukellal, Ahmed Kaci, Chen, Yun, Debierre, Jean-Marc

“…The use of a parallel adaptive finite element algorithm introduced recently [Gong et al., Comput. …”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…Image Quality Assessment (IQA) is a crucial metric for intelligent control systems and computer vision tasks, such as surveillance, restoration, and fingerprint identification, significantly advancing algorithm development in these areas. Recently, transformer-based algorithms have excelled in computer vision, particularly in image classification, surpassing convolutional neural network (CNN) methods. …”
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Undrained bearing capacity of obliquely-eccentrically loaded shallow foundations overlying a heterogeneous and inherently anisotropic clay deposit by Maedeh Nasiri Pishvari, Hessam Fathipour, Suraparb Keawsawasvong, Boonchai Ukritchon, Meghdad Payan, Reza Jamshidi Chenari

“…Furthermore, the inherent anisotropy is accounted for by adopting different values of undrained shear strength along different directions within the soil medium, employing an iterative-based algorithm. The results of numerical simulations are utilized to investigate the influences of natural soil heterogeneity and inherent anisotropy on the ultimate bearing capacity, failure envelope, and failure mechanism of shallow foundations subjected to the various combinations of vertical-horizontal (V-H) and vertical-moment (V-M) loads.…”
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An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…S transform (ST) and Manifold Learning (ML) methods are introduced to extract the characteristics of the microseismic signals, and Gaussian Mixture Model based on the improved Bee Colony optimization algorithm (IBC-GMM) is established to identify the microseismic signals accurately. …”
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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

“…A Markov Decision Process (MDP) was built on the extracted discrete time-series. A policy iteration algorithm was used to obtain the optimal AI policy for the MDP. …”
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Nu—A Marine Life Monitoring and Exploration Submarine System by Ali A. M. R. Behiry, Tarek Dafar, Ahmed E. M. Hassan, Faisal Hassan, Abdullah AlGohary, Mounib Khanafer

“…Nu’s functionality was evaluated in a controlled 2.5-m-deep body of water, focusing on connectivity, maneuverability, and fish identification accuracy. The fish detection algorithm achieved an average precision of 60% in identifying fish presence, while the classification model achieved 97% precision in assigning species labels, with unknown species flagged correctly. …”
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Risk assessment method for the organization of environmental safety in the sphere of residential and industrial construction by A. N. Larionov, E. E. Smirnova

“…The main goal was to conduct research on the formation of a complete algorithm and methodology for using risk scenarios to ensure environmental safety in construction. …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…We train PROTEGE on images from the MeerKAT Galaxy Cluster Legacy Survey, leveraging the self-supervised deep learning algorithm Bootstrap Your Own Latent to find a low-dimensional representation of the radio galaxy cutouts. …”
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Measures of Counteracting Domestic Violence Committed by Children: Problematic Aspects by A. S. Bakhaieva

“…The author has analyzed the algorithm of actions, according to which the police now act in case of detection of facts of domestic violence by a child under the age of sixteen. …”
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Development of an interpretable machine learning model based on CT radiomics for the prediction of post acute pancreatitis diabetes mellitus by Xiyao Wan, Yuan Wang, Ziyi Liu, Ziyan Liu, Shuting Zhong, Xiaohua Huang

“…The radiomics model was developed based on the optimal features retained after dimensionality reduction, utilizing the extreme gradient boosting (XGBoost) algorithm. Five-fold cross-validation of the model was used to assess the performance of the model in the training and testing cohorts. …”
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