A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)

A Rohani, M Taki, M Abdollahpour - Renewable Energy, 2018 - Elsevier
The main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …

Displacement prediction of landslide based on generalized regression neural networks with K-fold cross-validation

P Jiang, J Chen - Neurocomputing, 2016 - Elsevier
In this paper, we propose a generalized regression neural networks (GRNNS) with K-fold
cross-validation (GRNNSK) method for predicting the displacement of landslide …

[HTML][HTML] Applied machine learning in greenhouse simulation; new application and analysis

M Taki, SA Mehdizadeh, A Rohani, M Rahnama… - … processing in agriculture, 2018 - Elsevier
Prediction the inside environment variables in greenhouses is very important because they
play a vital role in greenhouse cultivation and energy lost especially in cold and hot regions …

Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting

Z Wu, X Xia, L Xiao, Y Liu - Applied Energy, 2020 - Elsevier
Wind power forecasting plays a significant role to ensure the safe operation of power
systems. However, due to the stochastic nature and dynamic uncertainty of wind power …

Artificial neural networks and particle swarm optimization algorithms for preference prediction in multi-criteria recommender systems

M Hamada, M Hassan - Informatics, 2018 - mdpi.com
Recommender systems are powerful online tools that help to overcome problems of
information overload. They make personalized recommendations to online users using …

Predicting the morbidity of chronic obstructive pulmonary disease based on multiple locally weighted linear regression model with K-means clustering

Z Huang, S Lin, L Long, J Cao, F Luo, W Qin… - International journal of …, 2020 - Elsevier
Abstract Chronic Obstructive Pulmonary Disease (COPD) is a common chronic respiratory
disease related to inflammation affected by harmful gas and particulate matter in the air …

Prediction of the bearing capacity of composite grounds made of geogrid-reinforced sand over encased stone columns floating in soft soil using a White-box machine …

HA Zeini, NK Lwti, H Imran, SN Henedy… - Applied Sciences, 2023 - mdpi.com
Stone columns have been extensively advocated as a traditional approach to increase the
undrained bearing capacity and reduce the settlement of footings sitting on cohesive …

Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

V Madekivi, P Boström, A Karlsson, R Aaltonen… - Acta …, 2020 - Taylor & Francis
Background: The current standard for evaluating axillary nodal burden in clinically node
negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of …

[HTML][HTML] P. Oxy. 1089 y la entrevista secreta de Flaco con los antisemitas Isidoro y Dionisio: Texto y traducción

L Pérez - Circe de clásicos y modernos, 2017 - SciELO Argentina
En este trabajo ofrecemos la traducción del griego al castellano de P. Oxy. 1089, con
introducción y notas. Se trata de un papiro que refiere una entrevista secreta ocurrida en el …

The need to tailor the omission of axillary lymph node dissection to patients with good prognosis and sentinel node micro‐metastases

G Houvenaeghel, A de Nonneville, N Chopin… - Cancer …, 2023 - Wiley Online Library
Abstract Background Results of IBCSG‐23‐01‐trial which included breast cancer patients
with involved sentinel nodes (SN) by isolated‐tumor‐cells or micro‐metastases supported …