[PDF][PDF] Advanced machine learning algorithms for house price prediction: case study in Kuala Lumpur
S Abdul-Rahman, NH Zulkifley, I Ismail… - International Journal of …, 2021 - academia.edu
House price is affected significantly by several factors and determining a reasonable house
price involves a calculative process. This paper proposes advanced machine learning (ML) …
price involves a calculative process. This paper proposes advanced machine learning (ML) …
[HTML][HTML] Using insights on potential users' behavior and transport requirements to inform the development of a more sustainable vehicle concept as part of a mobility …
Current mobility systems put a burden on people and the environment, eg, through
greenhouse gas emissions, and depletion of natural resources. Therefore, a mobility …
greenhouse gas emissions, and depletion of natural resources. Therefore, a mobility …
Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data
NHA Afouna, MKM Ali - Journal of the Nigerian Society of …, 2025 - journal.nsps.org.ng
Smart precision farming leverages IoT, cloud computing, and big data to optimize
agricultural productivity, lower costs, and promote sustainability through digitalization and …
agricultural productivity, lower costs, and promote sustainability through digitalization and …
Acquisition Targeting: Toward Modelling Small Business Acquisition with Machine Learning
J Chambers - 2024 - digitalcommons.georgefox.edu
Small business acquisition suffers from a lack of information transparency, and many
business buyers consequently value acquisitions differently. This project uses the case …
business buyers consequently value acquisitions differently. This project uses the case …
[PDF][PDF] Um novo biomarcador para auxiliar na interpretação dos exames de espirometria através da aplicação da inteligência artificial e das funções das wavelets
CU FEI, RGG PIVA - 2022 - scholar.archive.org
Nas últimas décadas, o volume de informações armazenadas digitalmente cresce em taxas
expressivas. Soluções tradicionais relacionadas ao tratamento de séries temporais e …
expressivas. Soluções tradicionais relacionadas ao tratamento de séries temporais e …
[PDF][PDF] Transportation Research Interdisciplinary Perspectives
H Müller, TL Novotny, A Theis, L Engel, M Schweikert… - researchgate.net
Current mobility systems put a burden on people and the environment, eg, through
greenhouse gas emissions, and depletion of natural resources. Therefore, a mobility …
greenhouse gas emissions, and depletion of natural resources. Therefore, a mobility …
Kalman filter and ridge regression backpropagation algorithms
IA Neamah, Z Abdul Redhaa - International Journal of Nonlinear …, 2021 - ijnaa.semnan.ac.ir
The Kalman filter (KF) compare with the ridge regression backpropagation algorithm (RRBp)
by conducting a numerical simulation study that relied on generating random data …
by conducting a numerical simulation study that relied on generating random data …