Feb 19, 2020   7:22 p.m. Vlasta
Academic information system

Summary of topics offered - Faculty of Civil Engineering

Basic information

Type of work: Diploma thesis
Topic: Deep-learning siete na báze dopredno-spätnej nelineárnej difúzie pre klasifikáciu biotopov Natura 2000
Title of topic in English: Deep-learning networks based on forward-backward nonlinear diffusion for classification of Natura 2000 habitats
State of topic: approved (prof. RNDr. Karol Mikula, DrSc. - Study programme supervisor)
Thesis supervisor: prof. RNDr. Karol Mikula, DrSc.
Faculty: Faculty of Civil Engineering
Supervising department: Department of Mathematics and Descriptive Geometry - FCE
Max. no. of students: --
Academic year:2019/2020
Proposed by: prof. RNDr. Karol Mikula, DrSc.
Summary: V práci budú vytvorené nové metódy pre deep-learning na báze riešenia dopredno-spätných nelineárnych difúznych rovníc na topologických grafových štruktúrach s aplikáciou na klasifikáciu biotopov Natura 2000.

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Restrictions by study
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I-MPM Mathematical and Computational Modeling

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