Optimizing Spectrum Trading in Cognitive Mesh Network Using Machine Learning by Ayoub Alsarhan, Anjali Agarwal

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Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

“…In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.…”
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On Quantum Methods for Machine Learning Problems Part I: Quantum Tools by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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Machine learning-based spectrum occupancy prediction: a comprehensive survey by Mehmet Ali Aygül, Mehmet Ali Aygül, Hakan Ali Çırpan, Hüseyin Arslan

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The Application of Machine Learning for Creating a Typology of Universities' Financial Models by I. A. Khodachek, D. V. Minaev, A. V. Zinkovskaya, E. B. Yablokov

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Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning by Lihua Shao, Ru Ji, Shuyi Du, Hongqing Song

“…This study proposed three viscosity prediction models based on machine learning approaches. The prediction accuracy comparison results show that the random forest (RF) model performs accurately in predicting the viscosity of each phase of the reservoir, with the lowest error percentage and highest R2 values. …”
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Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…This study seeks to employ machine learning-based methods to classify four different music genres using a minimal set of features. …”
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Prediction of Transverse Reinforcement of RC Columns Using Machine Learning Techniques by Congzhen Xiao, Baojuan Qiao, Jianhui Li, Zhiyong Yang, Jiannan Ding

“…To establish the best transverse reinforcement ratio prediction model for RC columns, based on an experimental database consisting of 498 columns, 12 machine learning (ML) models are trained. To solve the over-fitting problem caused by the current situation of “few samples and big errors” of the experimental database, feature engineering aiming at dimension reduction is systematically carried out through an iterative process. …”
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Differentiation of Early Sacroiliitis Using Machine-Learning- Supported Texture Analysis by Qingqing Zhu, Qi Wang, Xi Hu, Xin Dang, Xiaojing Yu, Liye Chen, Hongjie Hu

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Machine learning-based prediction of soil organic matter via smartphone by Qingying Gao, Yi Chen, Hui Zhang, Jingjing Chen, Liang Wang

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Stock Price Prediction in the Financial Market Using Machine Learning Models by Diogo M. Teixeira, Ramiro S. Barbosa

“…Fundamental concepts of technical analysis are explored, such as exponential and simple averages, and various global indices are analyzed to be used as inputs for machine learning models, including Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolutional Neural Network (CNN), and XGBoost. …”
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Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

“…Results show that machine learning clearly outperforms the regression models, but the obtained CRC point estimates remain largely unaffected. …”
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Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

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Forecasting insect abundance using time series embedding and machine learning by Gabriel R. Palma, Rodrigo F. Mello, Wesley A.C. Godoy, Eduardo Engel, Douglas Lau, Charles Markham, Rafael A. Moral

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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

Subjects: “…Machine Learning…”
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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…This paper discusses how to improve the accuracy of navigation for home service robot based on the deep learning and machine learning. First, the crawling programing is applied to collect enough images of fridge and washing machine on the web; a deep learning framework is proposed that can distinguish fridge and washing machine more accurately. …”
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Machine Learning–Enhanced Microseismic Analysis for Evaluating Rock Crack Trajectory by Xinglong Feng, Zeng Chen, Zhengrong Li, Qingtian Zeng, Jing Wang, Ping Wang

“…In this study, the evolution characteristics of MS parameters during the rock fracture process were investigated using MS localization techniques and spatial clustering methods. Machine learning methods were applied to cluster acoustic emission events, enabling the automatic identification of hazardous regions and the construction of crack propagation trajectories. …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

“…Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. …”
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