Pedro Goncalves Lind

Professor

OsloMet – Oslo Metropolitan University

Norway

Research Interests

Explore related searches

Professors in Norway

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (3)

Hajar Bennouri

Technological University Dublin

IRELAND

View details

Leonardo Rydin Gorjão

Associate Professor

Norwegian University of Life Sciences

NORWAY

View details

Zacharias E. Andreadakis

Associate Professor

Western Norway University of Applied Sciences

NORWAY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Pedro Goncalves Lind

Research Interests

Explore related searches

Contact this professor

Articles (10)

Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?

Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?

Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey

Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey

Stable stadial and interstadial states of the last glacial's climate identified in a combined stable water isotope and dust record from Greenland

Stable stadial and interstadial states of the last glacial's climate identified in a combined stable water isotope and dust record from Greenland

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets

Predicting missing pairwise preferences from similarity features in group decision making

Collaborators (3)

Hajar Bennouri

Leonardo Rydin Gorjão

Zacharias E. Andreadakis

Make your next move.