Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Ehsani, Sina, Sergeeva, Elina, Murdy, Wendy, Fox, Benjamin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
by: Ehsani, Sina, et al.
Published: (2025)
by: Ehsani, Sina, et al.
Published: (2025)
Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
by: Lares, Oscar, et al.
Published: (2024)
by: Lares, Oscar, et al.
Published: (2024)
AI for Anticipatory Action: Moving Beyond Climate Forecasting
by: Huynh, Benjamin Q., et al.
Published: (2023)
by: Huynh, Benjamin Q., et al.
Published: (2023)
Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
by: Feldman, Aaron O., et al.
Published: (2025)
by: Feldman, Aaron O., et al.
Published: (2025)
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
by: Song, Ruixin, et al.
Published: (2024)
by: Song, Ruixin, et al.
Published: (2024)
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
by: Soni, Kavin, et al.
Published: (2026)
by: Soni, Kavin, et al.
Published: (2026)
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach
by: Gond, Bishwajit Prasad
Published: (2025)
by: Gond, Bishwajit Prasad
Published: (2025)
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
by: Olivares, Kin G., et al.
Published: (2025)
by: Olivares, Kin G., et al.
Published: (2025)
Learning Explainable Treatment Policies with Clinician-Informed Representations: A Practical Approach
by: Ferstad, Johannes O., et al.
Published: (2024)
by: Ferstad, Johannes O., et al.
Published: (2024)
Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
by: Onibonoje, Oluwadurotimi, et al.
Published: (2025)
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
by: Weisser, Dominic, et al.
Published: (2026)
by: Weisser, Dominic, et al.
Published: (2026)
Forecasting mortality associated emergency department crowding
by: Nevanlinna, Jalmari, et al.
Published: (2024)
by: Nevanlinna, Jalmari, et al.
Published: (2024)
FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
by: Khosravi, Hamed, et al.
Published: (2024)
by: Khosravi, Hamed, et al.
Published: (2024)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)
by: Zhang, Hanyu, et al.
Published: (2024)
Efficient Prediction of Pass@k Scaling in Large Language Models
by: Kazdan, Joshua, et al.
Published: (2025)
by: Kazdan, Joshua, et al.
Published: (2025)
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
by: Hu, Yuxiao, et al.
Published: (2023)
by: Hu, Yuxiao, et al.
Published: (2023)
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
by: Sharma, Ujjawal, et al.
Published: (2024)
by: Sharma, Ujjawal, et al.
Published: (2024)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Distributionally Robust Transfer Learning with Structurally Missing Covariates, with Application to Cross-National Cardiac Arrest Prediction
by: Li, Siqi, et al.
Published: (2026)
by: Li, Siqi, et al.
Published: (2026)
Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM
by: Kim, Hyunwoo, et al.
Published: (2026)
by: Kim, Hyunwoo, et al.
Published: (2026)
Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models
by: Lee, Jaewook, et al.
Published: (2023)
by: Lee, Jaewook, et al.
Published: (2023)
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction
by: Zhuang, Jinfeng, et al.
Published: (2025)
by: Zhuang, Jinfeng, et al.
Published: (2025)
Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times
by: Villalobos, Elena, et al.
Published: (2026)
by: Villalobos, Elena, et al.
Published: (2026)
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property
by: Matloff, Norman, et al.
Published: (2024)
by: Matloff, Norman, et al.
Published: (2024)
Horizon-Aware Forecasting of Passenger Assistance Demand for Rail Station Workforce Planning
by: Sheehan, Michael, et al.
Published: (2026)
by: Sheehan, Michael, et al.
Published: (2026)
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
Air Pollution Forecasting in Bucharest
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
by: Şerban, Dragoş-Andrei, et al.
Published: (2025)
Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
by: Tosaki, Taisei, et al.
Published: (2024)
by: Tosaki, Taisei, et al.
Published: (2024)
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
by: Braun, Sacha, et al.
Published: (2026)
by: Braun, Sacha, et al.
Published: (2026)
Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics
by: Islam, ASM Nazrul, et al.
Published: (2026)
by: Islam, ASM Nazrul, et al.
Published: (2026)
Bridging Performance Gaps for ECG Foundation Models: A Post-Training Strategy
by: Zhou, Ya, et al.
Published: (2025)
by: Zhou, Ya, et al.
Published: (2025)
Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
by: Mishra, Anurag, et al.
Published: (2024)
by: Mishra, Anurag, et al.
Published: (2024)
Personalization of Large Foundation Models for Health Interventions
by: Konigorski, Stefan, et al.
Published: (2026)
by: Konigorski, Stefan, et al.
Published: (2026)
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)
by: Saad, Feras, et al.
Published: (2024)
Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Explainability of Complex AI Models with Correlation Impact Ratio
by: Sengupta, Poushali, et al.
Published: (2026)
by: Sengupta, Poushali, et al.
Published: (2026)
Similar Items
-
BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
by: Ehsani, Sina, et al.
Published: (2025) -
Feature Group Tabular Transformer: A Novel Approach to Traffic Crash Modeling and Causality Analysis
by: Lares, Oscar, et al.
Published: (2024) -
AI for Anticipatory Action: Moving Beyond Climate Forecasting
by: Huynh, Benjamin Q., et al.
Published: (2023) -
Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
by: Feldman, Aaron O., et al.
Published: (2025) -
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models
by: Song, Ruixin, et al.
Published: (2024)