Cover Image

Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saha, Esha, Wang, Oscar, Chakraborty, Amit K., Garcia, Pablo Venegas, Milne, Russell, Wang, Hao
Format:	Preprint
Published:	2024
Subjects:	Applications Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Early detection of disease outbreaks and non-outbreaks using incidence data
by: Gao, Shan, et al.
Published: (2024)

Efficient Model Compression for Bayesian Neural Networks
by: Saha, Diptarka, et al.
Published: (2024)

An early warning indicator trained on stochastic disease-spreading models with different noises
by: Chakraborty, Amit K., et al.
Published: (2024)

Recurrent Neural Networks for Multivariate Loss Reserving and Risk Capital Analysis
by: Cai, Pengfei, et al.
Published: (2024)

Research Funding as a Decision Problem Under Heavy-Tailed Uncertainty
by: Sorzano, Carlos Oscar S., et al.
Published: (2026)

Sustainable Greenhouse Microclimate Modeling: A Comparative Analysis of Recurrent and Graph Neural Networks
by: Seri, Emiliano, et al.
Published: (2025)

Neural Network-based Partial-Linear Single-Index Models for Environmental Mixtures Analysis
by: Do, Hyungrok, et al.
Published: (2025)

Bayesian Modeling of Long-Term Dynamics in Indian Temperature Extremes
by: Chakraborty, Chitradipa
Published: (2025)

Parsimonious Generative Machine Learning for Non-Gaussian Tail Modeling
by: Yan, Xing, et al.
Published: (2024)

Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
by: Hirschi, Jonathon, et al.
Published: (2026)

Spatial Modeling and Risk Zoning of Global Extreme Precipitation via Graph Neural Networks and r-Pareto Processes
by: Wang, Zimu, et al.
Published: (2025)

Second-order Asymptotic Analysis of Tail Probabilities of Randomly Weighted Sums: With Applications to a Bidimensional Discrete-time Risk Model
by: Geng, Bingzhen, et al.
Published: (2025)

Spatial Deep Convolutional Neural Networks
by: Wang, Qi, et al.
Published: (2024)

A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks
by: Chakraborty, Tanujit, et al.
Published: (2024)

Predicting Customer Lifetime Value Using Recurrent Neural Net
by: Chen, Huigang, et al.
Published: (2024)

Estimating Software Reliability Using Size-biased Modelling
by: Dey, Soumen, et al.
Published: (2022)

Aggregating Dependent Signals with Heavy-Tailed Combination Tests
by: Gui, Lin, et al.
Published: (2023)

Inverse Probability Weighting for Recurrent Event Models
by: Sun, Jiren, et al.
Published: (2025)

Unraveling Consumer Purchase Journey Using Neural Network Models
by: Churchill, Victor, et al.
Published: (2024)

Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)

Asymptotic Expansion and Bounds for the Bias of Empirical Tail Value-at-Risk
by: Gribkova, Nadezhda, et al.
Published: (2026)

An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
by: Goswami, Udita, et al.
Published: (2026)

International Trade Network: Statistical Analysis and Modeling
by: Sosa, Juan, et al.
Published: (2024)

Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)

Recurrence Analysis of Vegetation Time Series and Phase Transitions in Mediterranean Rangelands
by: Semeraro, Teodoro, et al.
Published: (2017)

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)

Spatial Cross-Recurrence Quantification Analysis for Multi-Platform Contact Tracing and Epidemiology Research
by: Patten, K. J.
Published: (2024)

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)

Estimations of the Local Conditional Tail Average Treatment Effect
by: Chen, Le-Yu, et al.
Published: (2021)

Stabilized Krylov Subspace Recurrences via Randomized Sketching
by: Valeria Simoncini, et al.
Published: (2025)

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)

An IoT based Investigation to Reduce the Contamination of Food: An Monitoring based Investigation
by: Abhishek Ranjan, et al.
Published: (2022)

An Integrated Time-Varying Ornstein-Uhlenbeck Process for Jointly Modeling Individual and Population-Level Movement of Golden Eagles
by: Shull, Michael L., et al.
Published: (2025)

An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
by: Ahmad, Mohammad Al-Sayed, et al.
Published: (2024)

Latent Moment Models for Recurrent Binary Outcomes: A Bayesian and Quasi-Distributional Approach
by: Ramezani, Niloofar, et al.
Published: (2026)

Optimal Cut-Point Estimation for Functional Digital Biomarkers: Application to Diabetes Risk Stratification via Continuous Glucose Monitoring
by: Lado-Baleato, Oscar, et al.
Published: (2024)

Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020)

Cumulative Link Mixed-Effects Models in the Service of Remote Sensing Crop Progress Monitoring
by: Oikonomidis, Ioannis, et al.
Published: (2023)

The CUSUM Test with Observation-Adjusted Control Limits in Parameters Change Detection for the Extremely Heavy-Tailed Distributions Sequences
by: Tang, F., et al.
Published: (2024)

Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)