Results 111 to 120 of about 48,097 (299)
Forecasting performance comparison by RMSE, MAE and MAPE.
, 2015 RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage error.Forecasting performance comparison by RMSE, MAE and MAPE.
Yu-Jian Zheng (701008) +4 more
core +1 more source
Energy Science &Engineering, EarlyView.Waste plastic oil–diesel blends enhanced with Al2O3 nanoparticles were experimentally evaluated in a compression ignition engine under varying injection timings and modeled using artificial neural networks (ANNs). The optimized WP20PD + 1000 ppm blend improved brake thermal efficiency and reduced fuel consumption, while ANN prediction achieved high ...
Dudekula Jamal Basha +6 more
wiley +1 more source
Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning
Food Bioengineering, EarlyView.ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang +3 more
wiley +1 more source
Jurnal LebesgueInflation is a condition wherein the general level of prices for goods and services in an economy continually rises. Predicting inflation serves as a crucial link in establishing future inflation values. The dynamic nature of inflation allows for changes
Agisna Mutiara +2 more
doaj +1 more source
Caneycycloceras Niko & Mapes 2011
Genus Caneycycloceras Niko & Mapes, 2011 Type species Caneycycloceras girtyi Niko & Mapes, 2011. Diagnosis Genus of the family Brachycycloceratidae with an exogastric, rapidly expanding, weakly cyrtoconic juvenile conch and a strongly inflated adult conch. Juvenile conch with circular conch profile.
Korn, Dieter, Aubrechtová, Martina
openaire +2 more sources
Modeling and analyzing MAPE-K feedback loops for self-adaptation
, 2015 The MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) feedback loop is the most influential reference control model for autonomic and self-adaptive systems.
P. Arcaini +5 more
core +1 more source
Advantages of the MAD/Mean ratio over the MAPE
, 2007 Stephan Kolassa and Wolfgang Schütz provide a careful look at the ratio MAD/Mean, which has been proposed as a substitute metric for the MAPE in the case of intermittent demand series.
Kolassa, Stephan
core +4 more sources
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal of Forecasting, EarlyView.ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques [PDF]
Public Health ChallThis systematic review and meta‐regression compared the performance of statistical, machine learning, and hybrid models in forecasting tuberculosis (TB) incidence. The study followed PRISMA 2020 guidelines and included studies published between 2010 and 2024. Hybrid models, particularly ARIMA‐LSTM, demonstrated superior forecasting accuracy compared to
Singh D +5 more
europepmc +2 more sources
Implementation of LSTM for Gold Price Prediction in Indonesia
Journal of Applied Informatics and ComputingGold is a significant investment instrument that serves as a safe-haven asset; nevertheless, its price dynamics are inherently nonlinear and highly volatile due to the influence of various economic factors.
Maria Oktaviani Giska Sibannang +1 more
doaj +1 more source