Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

Subjects: “…Educational resources…”
Get full text

Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

Subjects: “…Evolutionary algorithms…”
Get full text

DISEÑO DE UN PICOSATÉLITE PARA EL MONITOREO Y PREDICCIÓN DEL COMPORTAMIENTO DE INCENDIOS FORESTALES by Miguel Felipe Cano Bogotá, Valeria Navarro Lizcano, Ricardo Andrés Santa Quintero

Subjects: Get full text

Stochastic Characterization of Faults in Electrical Transmission Networks: Case Study of the Electrical Community of Benin by Mohamed Barate, Eyouléki Tcheyi Gnadi Palanga, Ayité Sénah Akoda Ajavon, Kodjo Agbossou

Subjects: Get full text

Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

Subjects: Get full text

State and prospects of basic computer training in engineering education by O. G. Arkhipov

Subjects: “…engineering education…”
Get full text

Prediction of IPO performance from prospectus using multinomial logistic regression, a machine learning model by Mazin Fahad Alahmadi, Mustafa Tahsin Yilmaz

“…The MLR model had a higher level of accuracy when compared with other machine learning algorithms. By using the model developed here, investors can improve their ability to predict the direction of the return on their investment in an IPO, at least for the first month. …”
Get full text

Optimization of controlled damages on the recognition in the master education by M. V. Bibyk, A. S. Dovbysh

Get full text

Optimized ANN Model for Predicting Buckling Strength of Metallic Aerospace Panels Under Compressive Loading by Shahrukh Khan, Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Gyula Varga

Get full text

Leveraging Machine Learning for Exchange Rate Prediction: A Business and Financial Management Perspective in Nigeria by Adedeji Daniel Gbadebo

“…Methodology The paper employs Logistic Linear Regression, Support Vector Machine, Random Forest, and XGBoost algorithms to predict the univariate time series of Nigeria's exchange rate against the US dollar, using both hourly and daily data. …”
Get full text

Flow simulation algorithm for gas gathering pipelines of natural gas fields by Yuling LYU, Zhenhe JIANG, Xiaowei LI, Jiakai SHI, Huaping CAO

Subjects: Get full text

A multi-objective optimization-based ensemble neural network wind speed prediction model by Haoyuan Ma, Chang Liu, Ziyuan Qiao, Yuan Liang, Hongqing Wang

Subjects: “…Wind speed prediction…”
Get full text

A Noise Reduction Method for Photoacoustic Imaging <italic>In Vivo</italic> Based on EMD and Conditional Mutual Information by Meng Zhou, Haibo Xia, Hongtao Zhong, Jiayao Zhang, Fei Gao

Subjects: Get full text

The algorithm for selection of interval of parameters recalculation of control and management objects in automatic control systems of process engineering by A. H. Тыныныка

Subjects: Get full text

Deep Learning Models for Reference Evapotranspiration Prediction in Bangladesh by Abul Kashem, Pobithra Das, Uaktho Baishnab

Get full text

Maximizing influence via link prediction in evolving networks by Kexin Zhang, Mo Li, Shuang Teng, Lingling Li, Yi Wang, Xuezhuan Zhao, Jinhong Di, Ji Zhang

Subjects: Get full text

Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

Subjects: Get full text

Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

“…The data mining process follows the KDD methodology, which includes the stages of selection, preprocessing, transformation, data mining, evaluation and knowledge consolidation. Machine learning algorithms, such as Random Forest and Gradient Boosting, were used to make these predictions. …”
Get full text

Enhanced mother optimization algorithm-based optimal reconfiguration to accommodate emerging electric vehicle demand by Radha Rani K., Sobha Rani P., Swarnasri K., Varaprasad Janamala

Subjects: Get full text

Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms by Shuhui Hua, Chuan Li, Yuanlong Wang, YiZhi Liang, Shanling Xu, Jian Kong, Hongyan Gong, Rui Dong, Yanan Lin, Xu Lin, Yanlin Bi, Bin Wang

“…In addition, the SHAP method determines that age and education are the main determinants that affect the prediction of ML models. …”
Get full text