Results 61 to 70 of about 9,528 (141)

Machine learning models for predicting unconfined compressive strength: A case study for Precambrian basement complex rocks from Ado-Ekiti, Southwestern Nigeria

Scientific African, 2023
This study investigates the applicability of four distinct machine learning (ML) models – Random Forest (RF), Relevance Vector Machine (RVM), Support Vector Machine (SVM), and Artificial Neural Network (ANN) - for predicting the unconfined compressive ...
Lekan Olatayo Afolagboye, Damilola Emmanuel Ajayi, Inioluwa Opeyemi Afolabi   +2 more
doaj   +1 more source

Face Hallucination with Linear Regression Model in Semi-Orthogonal Multilinear PCA Method

Journal of Physics: Conference Series, 2018
In this paper, we propose a new face hallucination technique, face images reconstruction in HSV color space with a semi-orthogonal multilinear principal component analysis method. This novel hallucination technique can perform directly from tensors via tensor-to-vector projection by imposing the orthogonality constraint in only one mode.
openaire   +1 more source

Improving Efficiency in Convolutional Neural Network with Multilinear Filters

, 2017
The excellent performance of deep neural networks has enabled us to solve several automatization problems, opening an era of autonomous devices. However, current deep net architectures are heavy with millions of parameters and require billions of ...
Gabbouj, Moncef, Iosifidis, Alexandros, Tran, Dat Thanh   +2 more
core   +1 more source

Recurrence Multilinear Regression Technique for Improving Accuracy of Energy Prediction in Power Systems

Energies
This paper demonstrates how artificial intelligence can be implemented in order to predict the energy needs of daily households using both multilinear regression (MLR) and single linear regression (SLR) methods.
Quota Alief Sias, Rahma Gantassi, Yonghoon Choi, Jeong Hwan Bae   +3 more
doaj   +1 more source

A Deterioration Model for Sewer Pipes Using CCTV and Artificial Intelligence

Buildings, 2023
Sewer pipeline failures pose significant threats to the environment and public health. To tackle these repercussions, many deterioration models have been developed to predict the conditions of sewer pipes, most of which are based on CCTV inspection ...
Comfort Salihu, Saeed Reza Mohandes, Ahmed Farouk Kineber, M. Reza Hosseini, Faris Elghaish, Tarek Zayed   +5 more
doaj   +1 more source

Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula

Environmental Monitoring and Assessment, 2022
A physiographic-based multilinear regression model supported by GIS was developed to estimate spatial rainfall variability in the Southwest Iberian Peninsula. The area study includes a wide diversity of landscape features and comprises four Portuguese regions and one Spanish province (totalizing 28,860 km2).
Verónica Ruiz-Ortiz, Jorge M. G. P. Isidoro, Helena Maria Fernandez, Fernando M. Granja-Martins, Santiago García-López   +4 more
openaire   +4 more sources

Tensor Representation in High-Frequency Financial Data for Price Change Prediction

, 2017
Nowadays, with the availability of massive amount of trade data collected, the dynamics of the financial markets pose both a challenge and an opportunity for high frequency traders.
Gabbouj, Moncef, Iosifidis, Alexandros, Kanniainen, Juho, Magris, Martin, Tran, Dat Thanh   +4 more
core   +1 more source

Modeling Properties with Artificial Neural Networks and Multilinear Least-Squares Regression: Advantages and Drawbacks of the Two Methods [PDF]

Applied Sciences, 2018
The mean molecular connectivity indices (MMCI) proposed in previous studies are used in conjunction with well-known molecular connectivity indices (MCI) to model eleven properties of organic solvents. The MMCI and MCI descriptors selected by the stepwise multilinear least-squares (MLS) procedure were used to perform artificial neural network (ANN ...
Jesus Vicente De Julián-Ortiz, Lionello Pogliani, Emili Besalú   +2 more
openaire   +5 more sources

Ratios determining of microenterprise profitability: an analysis based on multilinear regression models

Data and Metadata
Introduction: to determine the best multilinear regression model(s) of the Return on Assets and the Return on Equity of microenterprises in the commune of San Bernardo de Santiago de Chile; to strengthen their competitiveness in the industry, contributing to the strengthening of public policy in the sector, the source of information was the Mayor's ...
Luis Pedro Román Palma, Teodoro Reyes Fong, Walter Danilo Leiva Mardones, Robinson Dueñas Casallas   +3 more
openaire   +1 more source

Multitarget Approach to Drug Candidates against Alzheimer’s Disease Related to AChE, SERT, BACE1 and GSK3β Protein Targets

Molecules, 2020
Alzheimer’s disease is a neurodegenerative condition for which currently there are no drugs that can cure its devastating impact on human brain function.
Larisa Ivanova, Mati Karelson, Dimitar A. Dobchev   +2 more
doaj   +1 more source