Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Wenjing Chen

Get full text

Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning by D. Kothandaraman, N. Praveena, K. Varadarajkumar, B. Madhav Rao, Dharmesh Dhabliya, Shivaprasad Satla, Worku Abera

“…In this scenario, the authors proposed various machine learning models such as linear regression, random forest, KNN, ridge and lasso, XGBoost, and AdaBoost models to predict PM2.5 pollutants in polluted cities. …”
Get full text

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

Get full text

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.…”
Get full text

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

Subjects: Get full text

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

Subjects: Get full text

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

Subjects: Get full text

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. …”
Get full text

Enhancing Agricultural Productivity: A Machine Learning Approach to Crop Recommendations by Farida Siddiqi Prity, MD. Mehadi Hasan, Shakhawat Hossain Saif, Md. Maruf Hossain, Sazzad Hossain Bhuiyan, Md. Ariful Islam, Md Tousif Hasan Lavlu

Subjects: Get full text

Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

Subjects: Get full text

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. …”
Get full text

Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

Subjects: Get full text

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. …”
Get full text

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

Get full text

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

Subjects: Get full text

Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

“…Point clouds have become a popular training data for many practical applications of machine learning in the fields of environmental modeling and precision agriculture. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Subjects: Get full text

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

Subjects: Get full text