Results 41 to 50 of about 467,408 (158)

Rule-Based Neutrosophic Triplet Refined Interval-Valued Data Partition Analyzing The Movement of Stock Market Price [PDF]

Neutrosophic Sets and Systems
This study introduces an innovative approach to analysing stock market index movements through a RuleBased Neutrosophic Triplet Refined Interval-Valued Data Partition (NTRIVDP) model.
S. Bhuvaneswari, G. Kavitha, D. Nagarajan   +2 more
doaj   +1 more source

Minimum Mean Absolute Error Predictors for Lossless Image Coding

IEICE Transactions on Information and Systems, 2008
In this paper, we investigate minimum mean absolute error (mmae) predictors for lossless image coding. In some prediction-based lossless image coding systems, coding performance depends largely on the efficiency of predictors. In this case, minimum mean square error (mmse) predictors are often used.
Y. HASHIDUME, Y. MORIKAWA, S. MAKI
openaire   +2 more sources

JT9D Engine Thrust Estimation and Model Sensitivity Analysis Using Gradient Boosting Regression Method

Aerospace, 2023
In recent years, artificial intelligence (AI) technology has been applied in different research fields. In this study, the XGBoost regression model is proposed to estimate JT9D engine thrust.
Hung-Ta Wen, Hom-Yu Wu, Kuo-Chien Liao, Wei-Chuan Chen   +3 more
doaj   +1 more source

Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Agriculture is one of the most important sectors integral to human civilization, and technological adaptation is necessary to maintain its quality. This research aims to achieve high productivity in the agricultural sector by using neural networks or ...
Salmania Putri, Tora Fahrudin, Asti Widayanti   +2 more
doaj   +1 more source

Deep Neural Network-Driven Analysis of Free Vibrations in Tapered Beams

Applied Mechanics
Most physical systems exhibit nonlinear behavior while in motion, making their resolution challenging due to nonlinearity, dynamic effects, and sensitivity to parameters such as frequency and amplitude. Traditional analytical and numerical approaches can
Jamshaid Ul Rahman, Uzma Nadeem, Gulfam Haider, Yaqoob Al Rahbi   +3 more
doaj   +1 more source

Using the Mean Absolute Percentage Error for Regression Models

, 2015
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud, Golden, Boris, Le Grand, Bénédicte, Rossi, Fabrice   +3 more
openaire   +3 more sources

Prediction Error After Lens Implantation in Children With Axial Length Less than 22 mm Below 2 Yrs

Delhi Journal of Ophthalmology, 2016
Purpose: To compare the accuracy of IOL power calculation in children less than 2 years of age with axial length less than 22 mm using the SRK-T, SRK-II, and Hoffer-Q formulae. Design: Retrospective comparative study. Methods: We retrospectively analysed
Reena Gupta, Suma Ganesh, Chekitaan Singh, A.K Khurana   +3 more
doaj   +1 more source

Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach

Energies, 2018
The rapidly increasing use of renewable energy resources in power generation systems in recent years has accentuated the need to find an optimum and efficient scheme for forecasting meteorological parameters, such as solar radiation, temperature, wind ...
Mehdi Seyedmahmoudian, Elmira Jamei, Gokul Sidarth Thirunavukkarasu, Tey Kok Soon, Michael Mortimer, Ben Horan, Alex Stojcevski, Saad Mekhilef   +7 more
doaj   +1 more source

Application of Plastic Waste as a Sustainable Bitumen Mixture—A Review

Applied Sciences
Plastic waste is growing rapidly, while asphalt binders remain heavily reliant on petroleum bitumen. Incorporating recycled plastics into bitumen can divert waste and enhance pavement performance.
Nuha S. Mashaan, Thakur Chamlagai
doaj   +1 more source

Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model

IOP Conference Series: Materials Science and Engineering, 2018
Most existing Collaborative Filtering (CF) algorithms predict a rating as the preference of an active user toward a given item, which is always a decimal fraction. Meanwhile, the actual ratings in most data sets are integers. In this paper, we discuss and demonstrate why rounding can bring different influences to these two metrics; prove that rounding ...
Weijie Wang, Yanmin Lu
openaire   +1 more source