Novel approach for noninvasive pelvic floor muscle strength measurement using extracorporeal surface perineal pressure measurement and machine learning modeling by Ui-jae Hwang, Sun-hee Ahn, Hyeon-ju Lee, Yurin Jeon, Myung Jae Jeon

“…Seven ESPP variables were calculated based on ESPP data and intra- and inter-rater reliabilities were assessed. Machine learning algorithms predicted bladder base displacement from ESPP variables. …”
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Feasibility Study on the Use of a Portable NIR Spectrometer and Multivariate Data Analysis to Discriminate and Quantify Adulteration in Fertilizer by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Kwadwo Kusi Amoah, Emmanuel Afutu, Rebecca Owusu

“…The overall results indicated that a handheld NIR spectrometer together with appropriate algorithms could be employed for fast and on-site determination of fertilizer integrity.…”
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An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning by Néstor Rodríguez-Padial, Marta Marín, Rosario Domingo

“…In the proposed Custom Balance Scorecard design, an exploratory data phase is integrated with another analysis and prediction phase using Principal Component Analysis algorithms and Machine Learning that uses Artificial Neural Network algorithms. …”
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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…Machine learning algorithms are rapidly deploying and have made manifold breakthroughs in various fields. …”
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Path–Based Continuous Spatial Keyword Queries by Fangshu Chen, Pengfei Zhang, Chengcheng Yu, Huaizhong Lin, Shan Tang, Xiaoming Hu

“…Extensive experiments on both real and synthetic data sets are conducted to evaluate the performance of our proposed algorithms, and the results show that our algorithms outperform competitors by several orders of magnitude.…”
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A review on control systems hardware and software for robots of various scale and purpose. Part 2. Service robotics by Aleksey M. Romanov

“…The following conclusions are made on the basis of the review results: the key technology in service robotics from the point of view of scalability is the Robot Operating System (ROS); service robotics is today the main springboard for testing intelligent algorithms for the tactical and strategic control levels that are integrated into a common system based on ROS; the problem of ensuring fault tolerance in the service robotics is practically neglected, with the exception of the issue of increasing reliability by changing behavioral algorithms; in a number of areas of service robotics, in which the reduction of mass and dimensions is especially important, the robot control systems are implemented on a single computing device, in other cases a multi-level architecture implemented on Linux-based embedded computers with ROS are used.…”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The mean squared error (MSE) was used to evaluate the performance of models, which was 0.0535, 0.0704, and 0.0908 for the perceptron neural network in the Levenberg-Marquardt, Bayesian regularization, and scaled conjugate gradient algorithms, respectively. Also, the MSE value for the neuro-fuzzy model in the optimization and hybrid algorithms was 0.0190 and 0.0102, respectively. …”
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AN APPROACH TO CELL NUCLEI COUNTING IN HISTOLOGICAL IMAGE ANALYSIS by M. M. Lukashevich, V. V. Starovoitov

“…Critical parameters defined algorithms, configurable at each stage of image analysis. …”
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Research of Simulation in Character Animation Based on Physics Engine by Yang Yu, Jucheng Yang, Xiaofei Zan, Jiangang Huang, Xiangbo Zhang

“…It is based on computer hardware and graphics algorithms and related sciences rapidly developed new technologies. …”
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Numerical Simulations on the Front Motion of Water Permeation into Anisotropic Porous Media by Xiangxiang Zhang, J. G. Wang, Xiaolin Wang, Feng Gao

“…The water permeation front moves with time and may significantly impact the field variable evolution near the water front. Many algorithms have been developed to calculate this water front motion, but few numerical algorithms have been available to calculate the water front motion in anisotropic fluid-solid couplings with high computational efficiency. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…An evaluation of the suggested method was carried out by comparison experiments between state-of-the-art algorithms and the proposed methodology. Empirical findings demonstrate that the suggested methodology surpasses the most advanced algorithms on the datasets that are accessible openly. …”
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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…It highlighted the potential of feature-based subgrouping techniques in enhancing the efficacy of MAS algorithms in the field of medical image segmentation.…”
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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…This article presents a workflow analysing the main controlling factors of oil saturation variation utilizing machine learning algorithms based on static and dynamic data from actual reservoirs. …”
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External barycentric coordinates for arbitrary polygons and an approximate method for calculating them by Ivan S. Polyansky

“…The author of the article hopes that the detailed results of the algorithmic implementation of the calculation of external barycentric coordinates will arouse interest and make the publication material more accessible to a wide range of readers, which will lead to the development of the barycentric method in solving boundary and initial boundary value problems of mathematical physics.…”
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Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

“…Conclusions: Overall, for certain applications simple ML algorithms such as RF work well and can outperform more complex methods and that combining them with fragment-coloring can offer guidance for chemists to modify the structure with a desired property. …”
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Shear Strength of Internal Reinforced Concrete Beam-Column Joints: Intelligent Modeling Approach and Sensitivity Analysis by De-Cheng Feng, Bo Fu

“…The proposed approach is established based on the famous boosting-family ensemble machine learning (ML) algorithms, i.e., gradient boosting regression tree (GBRT), which generates a strong predictive model by integrating several weak predictors, which are obtained by the well-known individual ML algorithms, e.g., DT, ANN, and SVM. …”
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Properties of solutions of optimization problems for set functions by Slawomir Dorosiewicz

“…It makes possible the applications of various algorithms for these optimization problems for finding conditional extrema of set functions.…”
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Spectral Representation and Simulation of Fractional Brownian Motion by Konstantin Rybakov

“…The paper contains all the necessary algorithms and their theoretical foundation, as well as the results of numerical experiments.…”
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Impeller Flow Field Laser Velocimeter Measurements by L. A. Brozowski, T. V. Ferguson, L. Rojas

“…While significant improvements in CFD have been made due to improvements in computers, numerical algorithms, and physical modeling, a limited experimental database for pump CFD code validation exists.…”
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High-Precision Continuation of Periodic Orbits by Ángeles Dena, Marcos Rodríguez, Sergio Serrano, Roberto Barrio

“…In this paper, we extend classical continuation algorithms in order to be able to obtain families of periodic orbits with high-precision. …”
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