ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2501.07599
  4. Cited By
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning

Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning

10 January 2025
Hankun He
Takuya Boehringer
Benjamin Schäfer
Kate Heppell
Christian Beck
ArXivPDFHTML

Papers citing "Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning"

2 / 2 papers shown
Title
Estimation of high frequency nutrient concentrations from water quality
  surrogates using machine learning methods
Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods
María Castrillo
Á. García
31
106
0
27 Jan 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
264
36,371
0
25 Aug 2016
1