"Application Of Gan Techniques To The Analysis Multimodal Data For Water Management" Foggia

"Application Of Gan Techniques To The Analysis Multimodal Data For Water Management"
Foggia
Puglia, Foggia

Organisation/Company: Università di Foggia

Research Field: Physics » Statistical physics, Agricultural sciences, Engineering

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 5 Mar 2025 - 23:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme?

Other EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description The research activities will start with the identification of the GAN network best suited to reproduce the relevant features of satellite images, with particular attention to the preservation of spatial and chromatic details useful for system analysis.

Next, a machine learning algorithm will be developed to classify crop types, trained on both real satellite images and synthetic images generated by GANs.

Finally, a Neural Networks model will be designed and optimized to predict water demand by crop type, and the classified data will be integrated with additional environmental parameters.

Eligibility Criteria Eligibility of fellows: country/ies of residence: EUROPE

Eligibility of fellows: nationality/ies:

#J-18808-Ljbffr