Negin Katal

Negin Katal
Max Planck Institute for Biogeochemistry Jena | BGC · Department of Biogeochemical Integration

Master of Science

About

2
Publications
2,375
Reads
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6
Citations
Citations since 2017
2 Research Items
6 Citations
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Introduction
I'm currently Ph.D. student at Max Planck Institute for Biogeochemistry. My research interests are Phenology, Ecology, Botany, Deep Learning, AI.
Additional affiliations
April 2021 - present
Max Planck Institute for Biogeochemistry Jena
Position
  • PhD Student
April 2020 - March 2021
University of Bayreuth
Position
  • Research Associate
March 2015 - February 2016
University of Tehran
Position
  • Research Associate
Education
April 2021 - March 2024
Max Planck Institute for Biogeochemistry Jena
Field of study
  • Plant Phenology & Deep Learning
May 2017 - September 2019
University of Bayreuth
Field of study
  • Geo-Ecology, landscape ecology
October 2011 - December 2015
University of Tehran
Field of study
  • Biology, Botanik

Publications

Publications (2)
Article
Full-text available
Climate change represents one of the most critical threats to biodiversity with far-reaching consequences for species interactions, the functioning of ecosystems, or the assembly of biotic communities. Plant phenology research has gained increasing attention as the timing of periodic events in plants is strongly affected by seasonal and interannual...
Preprint
Full-text available
Abstract. Topography influences evolutionary and ecological processes by isolating populations and enhancing habitat diversity. While the effects of large-scale topography on patterns of species richness and endemism are increasingly well documented, the direct effect of local topography on endemism is less understood. This study compares different...

Questions

Question (1)
Question
Hi everyone, I am not sure if Stacked AutoEncoder, SAE and Support Vector Machine, SMV are categorising as deep learning method or not.

Network

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