Verified email-pattern data for Advancing Nowcasting With Deep Learning Techniques (Andel) is currently limited. You can still use the company insights and contact sections below.
ANDeL is a groundbreaking project under the Department of Meteorology and Climate Science, KNUST, the goal of this project is to harness deep learning to enhance precipitation nowcasting in Africa.
Our goal is to improve real-time weather forecasts and strengthen early warning systems, helping communities better prepare for extreme weather events.
Company Details
- Founded
- -
- Address
- Kumasi, Gh
- Industry
- Environmental Services
- Keywords
- Follow.
- HQ
- Kumasi
Advancing Nowcasting With Deep Learning Techniques (Andel) Questions
Advancing Nowcasting with Deep Learning Techniques (ANDeL)'s LinkedIn profile is https://gh.linkedin.com/company/advancing-nowcasting-with-deep-learning-techniques-andel
Advancing Nowcasting with Deep Learning Techniques (ANDeL)'s industry is
Environmental Services
Advancing Nowcasting with Deep Learning Techniques (ANDeL)'s top competitors are
Reecoplast,
Twellium Industrial Company Limited,
Abibiman Foundation,
Jua.ai,
Air Quality And Climate Education Network (Aqcen),
Tonbi Media,
The Pattern Project.
Advancing Nowcasting with Deep Learning Techniques (ANDeL)'s categories are Environmental Services
Advancing Nowcasting with Deep Learning Techniques (ANDeL)'s founding year is 2023
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