Review: Rotor Balancing by W.C. Foiles, P. E. Allaire, E. J. Gunter

“…This survey covers the computational algorithms as well as the physical concepts involved in balancing rotating equipment.…”
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Rapid Geographical Origin Identification and Quality Assessment of Angelicae Sinensis Radix by FT-NIR Spectroscopy by Zhen-yu Zhang, Ying-jun Wang, Hui Yan, Xiang-wei Chang, Gui-sheng Zhou, Lei Zhu, Pei Liu, Sheng Guo, Tina T. X. Dong, Jin-ao Duan

“…Support vector machine (SVM) algorithms were used for the establishment of a qualitative model. …”
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Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

“…Using 12 machine learning algorithms, 110 combination predictive models were constructed. …”
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Iterative Schemes for Nonconvex Quasi-Variational Problems with V-Prox-Regular Data in Banach Spaces by M. Bounkhel, Dj. Bounekhel

“…We study the convergence of some algorithms to solutions of the proposed nonconvex problems in Banach spaces.…”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…However, most previous studies primarily focused on developing biomass estimation models for rubber using machine learning (ML) algorithms in conjunction with feature selection methods based on UAV-acquired multispectral imagery. …”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…Machine learning algorithms also have the ability to generalize to new sites, potentially even those without a flux tower. …”
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Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy by Asim Zeb, A. K. M. Muzahidul Islam, Mahdi Zareei, Ishtiak Al Mamoon, Nafees Mansoor, Sabariah Baharun, Yoshiaki Katayama, Shozo Komaki

“…The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. …”
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On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy by Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko

“…Instead, we advocate the use of the algorithmic entropy as the basis for complexity definition for networks. …”
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Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning by ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao

“…This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. By integrating differential gene expression analysis, weighted gene co-expression network analysis, Mfuzz clustering, single-cell RNA sequencing, and machine learning algorithms including LASSO regression, SVM-RFE, and random forest, five hub genes related to AD, including PLCB1, NDUFAB1, KRAS, ATP2A2, and CALM3 were identified. …”
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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao, Yuanxiang Huang, Xiaoyu Wang, Yiwen Zhang, Ian Costa Paixao, Zhikang Wang, Charla Lu Chai, Hongtao Wang, Dinggui Lu, Geoffrey I Webb, Shanshan Li, Yuming Guo, Qingfeng Chen, Jiangning Song

“…With the recent advancement in deep learning algorithms, there is a surge of interest in computer-aided diagnosis of primary bone tumors. …”
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RockCloud-Align: A High-Precision Benchmark for Rock-Mass Point-Cloud Registration by Yunbiao Wang, Dongbo Yu, Lupeng Liu, Jun Xiao

“…RockCloud-Align provides a comprehensive benchmark for evaluating registration algorithms, along with a robust evaluation protocol to standardize the assessment of these methods. …”
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Visual Sensor Based Image Segmentation by Fuzzy Classification and Subregion Merge by Huidong He, Xiaoqian Mao, Wei Li, Linwei Niu, Genshe Chen

“…Finally, we compare the segmentation effect with Canny edge detection and Log edge detection algorithms. The results show that the FCE-based approach performs best in the color image segmentation.…”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

“…However, the issue of data imbalance in these studies is often overlooked, despite its crucial role in enhancing the accuracy of CHD risk identification within classification algorithms. Objective To investigate the factors influencing CHD and to establish predictive models for CHD risk using two data balancing methods based on five algorithms, comparing the predictive value of these models for CHD risk. …”
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Fixed time competing risk model by Audronė Jakaitienė

“… The competing risks under multinomial regression logit model is analyzed. The algorithms and software are made for this model in order to get estimation of parameters. …”
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Nonparametric density estimation using a multidimensional mixture model of Gaussian distributions by Tomas Ruzgas, Mindaugas Kavaliauskas

“… This paper algorithmically and empirically studies five major types of nonparametric multivariate density estimation techniques, where no assumption is made about data being drawn from any of known parametric families of distribution. …”
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ON NEW MATHEMATICAL METHODS OF CLASSIFICATIONS OF STEEL MOCROSTRUCTURES PICTURES by A. N. Chichko, O. A. Sachek, S. G. Lihouzov

“…Algorithms for classification of the steels microstructures allowing to carry out computer processing of pictures with the purpose of quantitative assessment of the structure characteristics, are offered. …”
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Discovering causal models for structural, construction and defense-related engineering phenomena by M.Z. Naser

“…Finally, this study also proposes two simple metrics that can help assess the performance of causal discovery algorithms.…”
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Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention by Fawaz Khaled Alarfaj, Shabnam Shahzadi

“…In the end, this study concludes that by using deep learning algorithms, we can control online credit card fraud detection in banks, improve the efficiency of the banking system. …”
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A Comparative Study of Anomaly Detection Techniques for IoT Security Using Adaptive Machine Learning for IoT Threats by Dheyaaldin Alsalman

“…In this study, we introduce FusionNet, an innovative ensemble model that combines the strengths of multiple machine learning algorithms, namely Random Forest, K-Nearest Neighbors, Support Vector Machine, and Multi-Layer Perceptron, for enhanced anomaly detection. …”
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Application of Machine Learning to Predict Trajectory of the Center of Pressure (COP) Path of Postural Sway Using a Triaxial Inertial Sensor by Kittichai Wantanajittikul, Chakrit Wiboonsuntharangkoon, Busaba Chuatrakoon, Siriphan Kongsawasdi

“…The study aimed to develop a triaxial inertial sensor and apply machine learning (ML) algorithms for predicting trajectory of the center of pressure (COP) path of postural sway. …”
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