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Computer Science

Working Paper

Deep learning to de-risk reserve estimation

Yohei Nishitsuji, Shogo Masaya

Version 1 posted 16 July 2020

360

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Language and Linguistics

Presentation

Identification from L2 Speech Using Neural Spectrogram Analysis

Calbert Graham

Version 1 posted 25 November 2020

155

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Computer Science

Working Paper

Advancing Safety-Critical Scenario Generation for Autonomous Vehicle Testing: Integrating In-Depth Crash Data and Advanced Generative Models

X. Zhang

Version 1 posted 28 August 2025

78

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Geography

Working Paper

Advancing Supraglacial Lake Mapping in Antarctica: A Deep Learning Approach Using Sentinel-2 Imagery

Jonas Köhler, Celia Baumhoer, Bert Wouters, Stef Lhermitte, Andreas Dietz

Version 1 posted 08 September 2025

115

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Materials Science

Working Paper

Diffusion Models for 3D Molecular and Crystal Structure Generation: Advancing Materials Discovery through Equivariance, Multi-Property Design, and Synthesizability

Yuze Hao, X. Yan, Lan Duo, H. Hu, J. He

Version 1 posted 17 May 2025

123

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Chemistry

Protocol/Methodology

Deep Learning-Enabled Rational Design of Perovskite-Based Photocatalysts for Efficient Organic Transformations

X. Zhang

Version 1 posted 24 June 2025

23

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Chemistry

Protocol/Methodology

Harnessing Deep Learning for the Rational Design of Perovskite Photocatalysts in Organic Synthesis

X. Zhang

Version 1 posted 24 June 2025

22

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Earth and Environmental Sciences

Working Paper

Climate Change and Sustainability

Towards Sustainable Water Management: An Attention-Based Approach to Short-Term Snow Water Equivalent Forecasting

Rahil Patel, Srivarun Kankanala, Qinmin Zheng

Version 1 posted 30 September 2024

92

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Chemistry

Protocol/Methodology

Unveiling the Potential of Deep Learning in Rational Design of Perovskite Photocatalysts for Organic Reactions

X. Zhang

Version 1 posted 24 June 2025

31

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9 results in deep learning in Keywords: deep learning

Deep learning to de-risk reserve estimation

Identification from L2 Speech Using Neural Spectrogram Analysis

Advancing Safety-Critical Scenario Generation for Autonomous Vehicle Testing: Integrating In-Depth Crash Data and Advanced Generative Models

Advancing Supraglacial Lake Mapping in Antarctica: A Deep Learning Approach Using Sentinel-2 Imagery

Diffusion Models for 3D Molecular and Crystal Structure Generation: Advancing Materials Discovery through Equivariance, Multi-Property Design, and Synthesizability

Deep Learning-Enabled Rational Design of Perovskite-Based Photocatalysts for Efficient Organic Transformations

Harnessing Deep Learning for the Rational Design of Perovskite Photocatalysts in Organic Synthesis

Towards Sustainable Water Management: An Attention-Based Approach to Short-Term Snow Water Equivalent Forecasting

Unveiling the Potential of Deep Learning in Rational Design of Perovskite Photocatalysts for Organic Reactions

9 results in Keywords: deep learning