Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression
The present research employs the models based on the relevance vector machine (RVM)
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
Assessment of the uniaxial compressive strength of intact rocks: An extended comparison between machine and advanced machine learning models
Rock strength is the most deterministic parameter for studying geological disasters in
resource development and underground engineering construction. However, the …
resource development and underground engineering construction. However, the …
Examining user behavior with machine learning for efective mobile peer-to-peer payment adoption
AJ Blanco Oliver, J Lara Rubio… - Financial Innovation, 10 …, 2024 - idus.us.es
Disruptive innovations caused by FinTech (ie, technology-assisted customized fnancial
services) have brought digital peer-to-peer (P2P) payments to the fore. In this chal lenging …
services) have brought digital peer-to-peer (P2P) payments to the fore. In this chal lenging …
Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption
BO Antonio, LR Juan, ID Ana, LC Francisco - Financial Innovation, 2024 - Springer
Disruptive innovations caused by FinTech (ie, technology-assisted customized financial
services) have brought digital peer-to-peer (P2P) payments to the fore. In this challenging …
services) have brought digital peer-to-peer (P2P) payments to the fore. In this challenging …
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …
Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches
In soil mechanics, liquefaction is the phenomenon that occurs when saturated, cohesionless
soils temporarily lose their strength and stiffness under cyclic loading shaking or earthquake …
soils temporarily lose their strength and stiffness under cyclic loading shaking or earthquake …
Failure mode identification in reinforced concrete flat slabs using advanced ensemble neural networks
Reinforced concrete (RC) flat slabs without transverse reinforcement are commonly used in
RC buildings. Despite their appeal and widespread use, these slabs are susceptible to …
RC buildings. Despite their appeal and widespread use, these slabs are susceptible to …
Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates
CJ Clemente - … on Machine Learning and Applications (ICMLA), 2023 - ieeexplore.ieee.org
Having a job immediately after graduation is the dream of every IT graduate. However, not
everyone can achieve this outcome. The study's primary goal is to develop predictive …
everyone can achieve this outcome. The study's primary goal is to develop predictive …
ANÁLISIS ESTADÍSTICO COMPARATIVO DE REGRESIÓN LINEAL MÚLTIPLE Y ANÁLISIS DE COMPONENTES PRINCIPALES EN UNA VARIABLE DE …
AV Guerrero, AJR Lira, JAV López… - Pistas …, 2024 - pistaseducativas.celaya.tecnm.mx
Dentro de los procesos es de gran importancia analizar el efecto que tienen las distintas
variables sobre estos. Las técnicas de regresión lineal múltiple (RLM) y análisis de …
variables sobre estos. Las técnicas de regresión lineal múltiple (RLM) y análisis de …
How Has COVID-19 Affected Airline Passenger Satisfaction? Evaluating The Passenger Satisfaction of European Short-Haul Low-Cost Carriers Pre-and Post-COVID …
F İnce, E Özdemir - Eskişehir Osmangazi Üniversitesi Sosyal Bilimler … - dergipark.org.tr
This paper investigates whether there has been a change in passenger satisfaction drivers
for the three largest short-haul low-cost carriers in Europe before and after COVID-19. User …
for the three largest short-haul low-cost carriers in Europe before and after COVID-19. User …