Tópico: time series models
- Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique
- Analysis and forecasting of electricity prices using an improved time series ensemble approach: an application to the Peruvian electricity market
- Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru
- Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
- Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models
- Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models
Tópico: Environmental sciences
- Statistical modeling approach for PM10 prediction before and during confinement by COVID-19 in South Lima, Perú
- Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
- An exploratory analysis of PM2.5/PM10 ratio during spring 2016–2018 in Metropolitan Lima
- Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais
- A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru
Autor: Iftikhar, Hasnain
- A hybrid AI approach for predicting academic performance in RBE students
- A new class of median estimators using auxiliary information under PPS sampling: theoretical properties and empirical evaluation
- An Intelligent Hybrid Ensemble Model for Early Detection of Breast Cancer in Multidisciplinary Healthcare Systems
- An intelligent ensemble machine learning model for early detection of chronic kidney disease in aging populations
- A Novel Family of CDF Estimators Under PPS Sampling: Computational, Theoretical, and Applied Perspectives
- Global Shocks and Local Fragilities: A Financial Stress Index Approach to Pakistan’s Monetary and Asset Market Dynamics
Autor: Canas Rodrigues, Paulo
- Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
- Time series forecasting via integrating a filtering method: an application to electricity consumption
- Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique
- Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence
- Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks
- Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector
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