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Evolutionary search yields compact chlorophyll-a prediction model

Researchers have utilized evolutionary architecture search to develop a more efficient model for predicting chlorophyll-a levels in lakes using Sentinel-2 satellite data. The new model, which employs a multilayer perceptron architecture found through regularized evolution, significantly improves upon existing hand-designed models. It achieves higher accuracy and AUC scores while using substantially fewer trainable parameters, making it suitable for onboard screening applications. AI

IMPACT This research demonstrates a method for creating highly efficient AI models for environmental monitoring, potentially enabling more widespread use of AI in remote sensing applications.

RANK_REASON The cluster contains a research paper detailing a novel method for model architecture search applied to an Earth observation task.

Read on arXiv cs.NE (Neural & Evolutionary) →

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Evolutionary search yields compact chlorophyll-a prediction model

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The cluster contains a research paper detailing a novel method for model architecture search applied to an Earth observation task.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Kursat Komurcu, Linas Petkevicius ·

    Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2

    arXiv:2610.10496v1 Announce Type: cross Abstract: Small tabular datasets with expert-designed spectral features are the norm in operational Earth observation, and the networks applied to them are typically hand-designed. We revisit one such published model -- a Sentinel-2 algal b…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Linas Petkevicius ·

    Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2

    Small tabular datasets with expert-designed spectral features are the norm in operational Earth observation, and the networks applied to them are typically hand-designed. We revisit one such published model -- a Sentinel-2 algal bloom classifier -- and ask what architecture searc…