When Simpler Wins: Facebooks Prophet vs LSTM for Air Pollution Forecasting in Data-Constrained Northern Nigeria
Fuente:
arXiv
Guardado en:
| Autores principales: | Balogun, Habeeb, Zakari, Yahaya |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability
por: Sidhu, Kamaljeet Kaur, et al.
Publicado: (2024)
por: Sidhu, Kamaljeet Kaur, et al.
Publicado: (2024)
Air Pollution Forecasting in Bucharest
por: Şerban, Dragoş-Andrei, et al.
Publicado: (2025)
por: Şerban, Dragoş-Andrei, et al.
Publicado: (2025)
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
por: Nedungadi, Vishal, et al.
Publicado: (2025)
por: Nedungadi, Vishal, et al.
Publicado: (2025)
EmissionNet: Air Quality Pollution Forecasting for Agriculture
por: Saligram, Prady, et al.
Publicado: (2025)
por: Saligram, Prady, et al.
Publicado: (2025)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
por: Zhang, Zhiguo, et al.
Publicado: (2025)
por: Zhang, Zhiguo, et al.
Publicado: (2025)
Synergistic Neural Forecasting of Air Pollution with Stochastic Sampling
por: Abeysinghe, Yohan, et al.
Publicado: (2025)
por: Abeysinghe, Yohan, et al.
Publicado: (2025)
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
por: Fan, Xu, et al.
Publicado: (2025)
por: Fan, Xu, et al.
Publicado: (2025)
FuXi-Air: Urban Air Quality Forecasting Based on Emission-Meteorology-Pollutant multimodal Machine Learning
por: Geng, Zhixin, et al.
Publicado: (2025)
por: Geng, Zhixin, et al.
Publicado: (2025)
Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings
por: Dey, Prasanjit, et al.
Publicado: (2026)
por: Dey, Prasanjit, et al.
Publicado: (2026)
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
por: Jahan, Nourin, et al.
Publicado: (2026)
por: Jahan, Nourin, et al.
Publicado: (2026)
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
por: Fan, Xu, et al.
Publicado: (2025)
por: Fan, Xu, et al.
Publicado: (2025)
Going NUTS with ADVI: Exploring various Bayesian Inference techniques with Facebook Prophet
por: Krajevski, Jovan, et al.
Publicado: (2026)
por: Krajevski, Jovan, et al.
Publicado: (2026)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
por: Lu, Junxin, et al.
Publicado: (2025)
por: Lu, Junxin, et al.
Publicado: (2025)
When Layers Play the Lottery, all Tickets Win at Initialization
por: Jordao, Artur, et al.
Publicado: (2023)
por: Jordao, Artur, et al.
Publicado: (2023)
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
por: Ding, Hang, et al.
Publicado: (2025)
por: Ding, Hang, et al.
Publicado: (2025)
Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study
por: Pagidoju, Ravi Teja
Publicado: (2026)
por: Pagidoju, Ravi Teja
Publicado: (2026)
Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment
por: Momoh, Benjamin, et al.
Publicado: (2025)
por: Momoh, Benjamin, et al.
Publicado: (2025)
Multi-Turn Jailbreaks Are Simpler Than They Seem
por: Yang, Xiaoxue, et al.
Publicado: (2025)
por: Yang, Xiaoxue, et al.
Publicado: (2025)
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
por: Le, Van-Duc, et al.
Publicado: (2023)
por: Le, Van-Duc, et al.
Publicado: (2023)
Overcoming Data Limitations in Internet Traffic Forecasting: LSTM Models with Transfer Learning and Wavelet Augmentation
por: Saha, Sajal, et al.
Publicado: (2024)
por: Saha, Sajal, et al.
Publicado: (2024)
Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
por: Khan, Saad Zafar, et al.
Publicado: (2023)
por: Khan, Saad Zafar, et al.
Publicado: (2023)
Learning in Prophet Inequalities with Noisy Observations
por: Kim, Jung-hun, et al.
Publicado: (2026)
por: Kim, Jung-hun, et al.
Publicado: (2026)
LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
por: Yang, Qingchuan, et al.
Publicado: (2025)
por: Yang, Qingchuan, et al.
Publicado: (2025)
Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts
por: Blanco, Giacomo, et al.
Publicado: (2024)
por: Blanco, Giacomo, et al.
Publicado: (2024)
KAN vs LSTM Performance in Time Series Forecasting
por: Rather, Tabish Ali, et al.
Publicado: (2025)
por: Rather, Tabish Ali, et al.
Publicado: (2025)
Bayesian Optimisation for Active Monitoring of Air Pollution
por: Hellan, Sigrid Passano, et al.
Publicado: (2022)
por: Hellan, Sigrid Passano, et al.
Publicado: (2022)
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles
por: Yang, Fan, et al.
Publicado: (2024)
por: Yang, Fan, et al.
Publicado: (2024)
HMM-LSTM Fusion Model for Economic Forecasting
por: Sivakumar, Guhan
Publicado: (2025)
por: Sivakumar, Guhan
Publicado: (2025)
WaveCatBoost for Probabilistic Forecasting of Regional Air Quality Data
por: Borah, Jintu, et al.
Publicado: (2024)
por: Borah, Jintu, et al.
Publicado: (2024)
Unlocking the Power of LSTM for Long Term Time Series Forecasting
por: Kong, Yaxuan, et al.
Publicado: (2024)
por: Kong, Yaxuan, et al.
Publicado: (2024)
A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM
por: Pokharel, Sudan, et al.
Publicado: (2024)
por: Pokharel, Sudan, et al.
Publicado: (2024)
Predicting Air Pollution in Cork, Ireland Using Machine Learning
por: Rashidunnabi, Md, et al.
Publicado: (2025)
por: Rashidunnabi, Md, et al.
Publicado: (2025)
A Framework for Scalable Ambient Air Pollution Concentration Estimation
por: Berrisford, Liam J, et al.
Publicado: (2024)
por: Berrisford, Liam J, et al.
Publicado: (2024)
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
por: Ou, Wenjie, et al.
Publicado: (2023)
por: Ou, Wenjie, et al.
Publicado: (2023)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
por: Ali, Khalid, et al.
Publicado: (2025)
por: Ali, Khalid, et al.
Publicado: (2025)
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
por: Shrestha, Robik, et al.
Publicado: (2022)
por: Shrestha, Robik, et al.
Publicado: (2022)
A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization
por: Bakker, Hua Chang, et al.
Publicado: (2024)
por: Bakker, Hua Chang, et al.
Publicado: (2024)
Benchmarking Transformer and xLSTM for Time-Series Forecasting of Heat Consumption
por: Wahl, Marja, et al.
Publicado: (2026)
por: Wahl, Marja, et al.
Publicado: (2026)
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
por: Saha, Snehanshu, et al.
Publicado: (2023)
por: Saha, Snehanshu, et al.
Publicado: (2023)
Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation
por: Mokhtari, Ichrak, et al.
Publicado: (2024)
por: Mokhtari, Ichrak, et al.
Publicado: (2024)
Ejemplares similares
-
Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability
por: Sidhu, Kamaljeet Kaur, et al.
Publicado: (2024) -
Air Pollution Forecasting in Bucharest
por: Şerban, Dragoş-Andrei, et al.
Publicado: (2025) -
AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
por: Nedungadi, Vishal, et al.
Publicado: (2025) -
EmissionNet: Air Quality Pollution Forecasting for Agriculture
por: Saligram, Prady, et al.
Publicado: (2025) -
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
por: Zhang, Zhiguo, et al.
Publicado: (2025)