Disulfidptosis-related classification patterns and tumor microenvironment characterization in skin cutaneous melanoma by Li Yang, Zi-jian Cao, Yuan Zhang, Jin-ke Zhou, Jun Tian

“…The consensus clustering algorithm was applied to categorize SKCM patients into different DRG subtypes. …”
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Modular Mobile Charging Facility Layout Optimization Method and Deployment Strategy by Jiajun ZHENG, Xiaoyu DUAN, Zechun HU, Xiaorui HU, Bin ZHU

“…Firstly, an electric vehicle user travel mechanism model is established to predict the spatial and temporal distribution of charging demand at the node level. …”
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Study on Vibration Characteristic of Trilobe Raceway Cylindrical Roller Bearing with Elastic Support by Sun Xue, Deng Sier, Zhang Yuanjun, Chen Guoding

“…Based on dynamics analysis of rolling bearing,the dynamics differential equations for cylindrical roller bearing with trilobe raceway and elastic support are established. By using the predict-correct integer algorithm with variable step,the dynamics equation is solved,and the influence of structural parameters of elastic support and working conditions on the vibration characteristics of the bearing is investigated. …”
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Design Optimization Method and Application of High-Efficiency and Variable-Pitch Axial Flow Fan by Lee Chan, Yang Sang Ho, Lee Sang Yeol

“…The design program for constructing axial flow fan geometry is developed by combining fan blade section design and through-flow performance prediction methods. The optimization technique of this study is Hybrid Metaheuristic Algorithm which is combined with the design program to find optimal design values of blade setting angles, camber angles and chord lengths, and then to maximize the fan efficiency. …”
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Quantitative Structure-Activity Relationship Studies for Potential Rho-Associated Protein Kinase Inhibitors by Giovanna Cardoso Gajo, Tamiris Maria de Assis, Letícia Cristina Assis, Teodorico Castro Ramalho, Elaine Fontes Ferreira da Cunha

“…The models were generated applying genetic algorithm (GA) optimization combined with partial least squares (PLS) regression. …”
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Numerical simulation of cavitating two-phase gas-liquid three-dimensional flow in a duct of varying cross-section based on homogenous mixture model by Nguyen The Duc

“…The numerical method uses artificial compressibility algorithm extended to unsteady flows with dual-time technique. …”
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Formation of Scattering Characteristics for Acoustical Ray Tracing Simulation by Srđan BOJIČIĆ, Dragana ŠUMARAC-PAVLOVIĆ, Miomir MIJIĆ

“…Ray tracing simulation of sound field in rooms is a common tool in room acoustic design for predicting impulse response. There are numerous commercial engineering tools utilising ray tracing simulation. …”
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Reducing Unnecessary Handovers Using Logistic Regression in 5G Networks by Alison M. Fernandes, Hermes I. Del Monego, Bruno S. Chang, Anelise Munaretto

“…This paper proposes using machine learning in 5G mobile networks, employing a Logistic Regression algorithm to predict handovers. Considering selection criteria like Reference Signal Received Power, Signal-to-Interference-Plus-Noise Ratio, Received Signal Strength Indicator, and distance, our proposal shows that it can significantly reduce the consequences of frequent handovers and provide a better quality of service to the user, together with low computational complexity. …”
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SAB: Self-Adaptive Bias by Suchan Choi, Jinyoung Oh, Jeong-Won Cha

“…In this paper, we propose a new algorithm that determines how to select learning data and when to start and stop curriculum learning by considering learning errors. …”
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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

“…The LSTM model estimates, utilizing a univariate approach, the hourly forecasting of water demand for the entire available dataset and the minimum night flow. The algorithm considers various time series sizes for each DMA and predicts the water demand values for each hour throughout the week. …”
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Machine-learning certification of multipartite entanglement for noisy quantum hardware by Andreas J C Fuchs, Eric Brunner, Jiheon Seong, Hyeokjea Kwon, Seungchan Seo, Joonwoo Bae, Andreas Buchleitner, Edoardo G Carnio

“…We develop a certification pipeline that feeds the statistics of random local measurements into a non-linear dimensionality reduction algorithm, to determine with respect to which partitions a given quantum state is entangled. …”
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Analisis Sentimen Pengguna Aplikasi SIMANTAP Pondok Pesantren Salafiyah Syafi’iyah Situbondo by Ach. Zubairi, Luckman Ashary

“…Based on the test data results using the Naïve Bayes classifier algorithm, the classification can predict quite well; this is shown by the precision results of 82%, 97% recall, and 89% fi-score.…”
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Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images by Xingzhi Sun, Guotong Xie, Kun Lv, Xiaoyue Zhang, Bin Lv, Yuan Ni, Yao Ma, Fangting Li, Kangyi Yang, Jiayin Qin, Huijuan Wu

“…Purpose To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.Design Development and validation of an artificial intelligence algorithm for UBM images.Methods:2339 UBM images from 592 subjects were collected for algorithm development. …”
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A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning by Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan

“…It features over 7 h of continuous operation, plug-and-play functionality, and modular expandability. At the algorithmic level, we introduce a self-supervised feature extraction framework that combines contrastive learning and masked prediction tasks, enabling robust emotional feature learning from a limited number of EEG channels with constrained signal quality. …”
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Theoretical investigation of the free fall of a spherical particle in a viscous fluid using continuous piecewise linearization method by Akuro Big-Alabo, Joseph Chukwuka Ofodu

“…The CPLM algorithm was shown to predict published experimental results accurately and compared very well with numerical solutions and existing analytical solutions. …”
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Research on Designing an Industrial Product-Service System with Uncertain Customer Demands by Fei Zhang, Liecheng Jia, Weizhen Han

“…This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). …”
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Intelligent Path Tracking for Single-Track Agricultural Machinery Based on Variable Universe Fuzzy Control and PSO-SVR Steering Compensation by Huanyu Liu, Zhihang Han, Junwei Bao, Jiahao Luo, Hao Yu, Shuang Wang, Xiangnan Liu

“…To address these issues, this paper proposes a path tracking algorithm combining a segmented preview model with variable universe fuzzy control, enabling dynamic adjustment of the preview distance for better curvature adaptation. …”
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A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…These images are processed in parallel by the MINN algorithm, allowing it to learn a comprehensive and precise representation of the underlying biological mechanisms. (3) Results: Our method, on an experimentally validated test set, detects target sites with an AUPRC of 0.9373, Precision of 0.8725, and Recall of 0.8703 and outperforms several commonly used computational methods of microRNA target-site predictions. (4) Conclusions: Incorporating diverse biologically explainable features, such as duplex structure, substructures, their MFEs, and binding probabilities, enables our model to perform well on experimentally validated test data. …”
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Drilling Parameter Control Based on Online Identification of Drillability and Multi-Objective Optimization by Jianbo Dai, Xilu Yin, Yan Zhang, Lei Si, Dong Wei, Zhongbin Wang, Longmei Zhao

“…A multi-objective optimization model of the optimal drilling parameters is established with the mechanical specific energy and drilling speed prediction model as the objective functions, and the NSGA-II algorithm and TOPSIS algorithm are used for solutions and decision-making. …”
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Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum by Changxiong Ning, Fei Hu, Wu Ouyang, Xinpin Yan, Dongling Xu

“…The effects of bearing parameters, objective function, and algorithm parameters on the identification results are simulated and analyzed. …”
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