A Data-Driven Multi-Step Flood Inundation Forecast System

2024-9-13

Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models

2024-8-30

Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task

2024-8-26

Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models

2024-8-23

Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions

2024-8-19

Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions

2024-8-15

Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports

2024-8-2

Impact of PV and EV Forecasting in the Operation of a Microgrid

2024-7-31

A Markov Switching Autoregressive Model with Time-Varying Parameters

2024-7-29

A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil

2024-7-17

R&D Expenditures and Analysts’ Earnings Forecasts

2024-7-8

Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions

2024-7-5

Modeling CO2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model

2024-6-24

Forecasting Thailand’s Transportation CO2 Emissions: A Comparison among Artificial Intelligent Models

2024-6-20

An Alternative Proof of Minimum Trace Reconciliation

2024-6-18

Machine Learning-Enhanced Pairs Trading

2024-6-11

Heavy Rainfall Events in Selected Geographic Regions of Mexico, Associated with Hail Cannons

2024-6-4

Deep Survival Models Can Improve Long-Term Mortality Risk Estimates from Chest Radiographs

2024-5-26

Forecasting Daily Activity Plans of a Synthetic Population in an Upcoming District

2024-5-22

Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model

2024-5-22

Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms

2024-5-21

Forecasting Convective Storms Trajectory and Intensity by Neural Networks

2024-5-19

The Technological Impact on Employment in Spain between 2023 and 2035

2024-4-30

Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization

2024-4-23

Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns

2024-4-2

Predictive Maintenance Framework for Fault Detection in Remote Terminal Units

2024-3-25

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints

2024-3-10

A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event

2024-3-7

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System

2024-3-7

Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions

2024-2-16

State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export

2024-2-12

Bootstrapping Long-Run Covariance of Stationary Functional Time Series

2024-2-5

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study

2024-2-1

Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia

2024-1-31

Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach

2024-1-16

Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning

2024-1-9

Bootstrapping State-Space Models: Distribution-Free Estimation in View of Prediction and Forecasting

2023-12-27

Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models

2023-12-26

Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach

2023-12-20

Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess

2023-12-12

Macroeconomic Predictions Using Payments Data and Machine Learning

2023-11-27

Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models

2023-11-20

Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction

2023-11-14

An Extended Analysis of Temperature Prediction in Italy: From Sub-Seasonal to Seasonal Timescales

2023-10-13

Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview

2023-9-14

Searching for Promisingly Trained Artificial Neural Networks

2023-9-4

Large Language Models: Their Success and Impact

2023-8-25

Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation

2023-8-23

A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes

2023-7-19

On the Disagreement of Forecasting Model Selection Criteria

2023-6-20