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Marine Dissolved Oxygen Prediction With Tree Tuned Deep Neural Network

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2017jc012838openalex-snapshot
Biogeochemical sensor performance in the SOCCOM profiling float array
inferredcites →https://doi.org/10.1007/s11356-017-9243-7openalex-snapshot
Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China
inferredcites →https://doi.org/10.1007/s12583-018-1002-2openalex-snapshot
Seawater Temperature and Dissolved Oxygen over the Past 500 Million Years
inferredcites →https://doi.org/10.1016/j.ecss.2019.03.007openalex-snapshot
An assessment of the predictability of column minimum dissolved oxygen concentrations in Chesapeake Bay using a machine learning model
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1029/2002gb001997openalex-snapshot
Long‐term changes in dissolved oxygen concentrations in the ocean caused by protracted global warming
inferredcites →https://doi.org/10.1029/2017jc013404openalex-snapshot
Estimating Oxygen in the Southern Ocean Using Argo Temperature and Salinity
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1073/pnas.1912313117openalex-snapshot
Dark biological superoxide production as a significant flux and sink of marine dissolved oxygen
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/tnnls.2018.2869694openalex-snapshot
Deep Neural Network Initialization With Decision Trees
inferredcites →https://doi.org/10.1126/science.1156401openalex-snapshot
Spreading Dead Zones and Consequences for Marine Ecosystems
inferredcites →https://doi.org/10.1561/9781601982957openalex-snapshot
Learning Deep Architectures for AI
inferredcites →https://doi.org/10.3390/s17102225openalex-snapshot
A Machine Learning Approach to Argo Data Analysis in a Thermocline
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4010980openalex-extracted
Data Reduction in Deterministic Neutron Transport Calculations Using Machine Learning
inferred← citeshttps://doi.org/10.1002/gdj3.251openalex-snapshot
A global four‐dimensional gridded dataset of ocean dissolved oxygen concentration retrieval from Argo profiles
inferred← citeshttps://doi.org/10.1007/978-981-96-5095-8_30openalex-snapshot
Research on Prediction of Marine Dissolved Oxygen Concentration Based on Modal Decomposition
inferred← citeshttps://doi.org/10.1016/b978-0-323-89861-4.00031-2openalex-snapshot
Predicting dissolved oxygen concentration in river using new advanced machines learning: Long-short term memory (LSTM) deep learning
inferred← citeshttps://doi.org/10.1016/j.anucene.2022.109276openalex-snapshot
Data reduction in deterministic neutron transport calculations using machine learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133357openalex-snapshot
An intelligent decision support system for hypoxia early warning in marine aquaculture via self-supervised fish behavior classification model based on memory prototypes
inferred← citeshttps://doi.org/10.1021/acsomega.2c06441openalex-snapshot
Applications of Machine Learning in Chemical and Biological Oceanography
inferred← citeshttps://doi.org/10.1109/icacite60783.2024.10616972openalex-snapshot
The use of SVM and AR Methods for allotment of Load Scheduling and Energy Management in SPS
inferred← citeshttps://doi.org/10.1109/icocn67308.2025.11145651openalex-snapshot
Dissolved Oxygen Prediction Model Based on GRU-N-Beats
inferred← citeshttps://doi.org/10.3389/fmars.2024.1396277openalex-snapshot
A high-precision interpretable framework for marine dissolved oxygen concentration inversion
inferred← citeshttps://doi.org/10.3390/ma15155200openalex-snapshot
A PCA–EEMD–CNN–Attention–GRU–Encoder–Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay
inferred← citeshttps://doi.org/10.3390/rs16020228openalex-snapshot
A Reconstructing Model Based on Time–Space–Depth Partitioning for Global Ocean Dissolved Oxygen Concentration
inferred← citeshttps://doi.org/10.3390/w15173029openalex-snapshot
Enhancing Dissolved Oxygen Concentrations Prediction in Water Bodies: A Temporal Transformer Approach with Multi-Site Meteorological Data Graph Embedding
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