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personal data approved: 2023. VI. 08.
Personal data
Adrienn Dineva
name Adrienn Dineva
name of institution
doctoral school
SzE Multidisciplinary Doctoral School of Engineering Sciences (Supervisor)
the share of work in the different doctoral schools. SzE Multidisciplinary Doctoral School of Engineering Sciences 100%
Academic title
scientific degree, title Ph.D.
year degree was obtained 2017
discipline to which degree belongs computer sciences
institution granting the degree Obuda University
scientific degree, title Habilitation
year degree was obtained 2023
discipline to which degree belongs computer sciences
institution granting the degree Obuda University
Employment
2020 - Széchenyi István University, Győr
other (not specified) (tudományos munkatárs)
2012 - Universitas Budensis
other (not specified) (egyetemi docens)
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
present PhD students:
Ádám Zsuga (PhD) (2026/08)  MMTDI
  Thesis topic proposals
Research
research area Machine Learning, intelligent systems, diagnostics and monitoring
research field in which current research is conducted computer sciences
Publications
2021

Dineva Adrienn, Csomós Bence, Kocsis Sz. Szabolcs, Vajda István: Investigation of the performance of direct forecasting strategy using machine learning in State-of-Charge prediction of Li-ion batteries exposed to dynamic loads, JOURNAL OF ENERGY STORAGE 36: 102351
type of document: Journal paper/Article
number of independent citations: 12
language: English
URL 
2021

Dineva Adrienn: Advanced Machine Learning Approaches for State-of-Charge Prediction of Li-ion Batteries under Multisine Excitation, In: IEEE (szerk.) 2021 17th Conference on Electrical Machines, Drives and Power Systems (ELMA), IEEE (2021) pp. 1-5.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2020

Dombi József, Dineva Adrienn: Adaptive Savitzky-Golay filtering and its applications, INTERNATIONAL JOURNAL OF ADVANCED INTELLIGENCE PARADIGMS 16: (2) p. 145.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2020

Mosavi Amirhosein, Golshan Mohammad, Janizadeh Saeid, Choubin Bahram, Melesse Assefa M., Dineva Adrienn A.: Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins, GEOCARTO INTERNATIONAL 2020: pp. 1-20.
type of document: Journal paper/Article
number of independent citations: 31
language: English
URL 
2020

Choubin Bahram, Borji Moslem, Hosseini Farzaneh Sajedi, Mosavi Amirhosein, Dineva Adrienn A.: Mass wasting susceptibility assessment of snow avalanches using machine learning models, SCIENTIFIC REPORTS 10: (1) 18363
type of document: Journal paper/Article
number of independent citations: 25
language: English
URL 
2019

Dineva Adrienn, Mosavi Amir, Ardabili Sina Faizollahzadeh, Vajda Istvan, Shamshirband Shahaboddin, Rabczuk Timon, Chau Kwok–Wing: Review of Soft Computing Models in Design and Control of Rotating Electrical Machines, ENERGIES 12: (6) p. 1049.
type of document: Journal paper/Article
number of independent citations: 18
language: English
URL 
2019

Dineva A., Mosavi A., Gyimesi M., Vajda I., Nabipour N., Rabczuk T.: Fault diagnosis of rotating electrical machines using multi-label classification, APPLIED SCIENCES-BASEL 9: (23) 5086
type of document: Journal paper/Article
number of independent citations: 31
language: English
URL 
2019

Nabipour Narjes, Karballaeezadeh Nader, Dineva Adrienn, Mosavi Amir, Mohammadzadeh S. Danial, Shamshirband Shahaboddin: Comparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement, MATHEMATICS 7: (12) p. 1198.
type of document: Journal paper/Article
number of independent citations: 13
language: English
URL 
2017

Dineva A, Jozsef Tar, A R Várkonyi-Kóczy, V Piuri: Application of Fixed Point Transformation to Classical Model Identification using New Tuning Rule, In: Anikó, Szakál (szerk.) IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, Institute of Electrical and Electronics Engineers (IEEE) (2017) pp. 265-270.
type of document: Part of book/Proceedings Paper
language: English
URL 
2015

Adrienn Dineva, Annamária R Várkonyi-Kóczy, József Tar, Vincenzo Piuri: Replacement of Parameter Tuning with Simple Calculation in Adaptive Control Using “Sigmoid Generated Fixed Point Transformation”, In: Szakál, Anikó (szerk.) SISY 2015 : IEEE 13th International Symposium on Intelligent Systems and Informatics, IEEE (2015) pp. 173-178.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
Number of independent citations to these publications:138 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
75
number of scientific publications:
75
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
53
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
11
number of independent citations to scientific publications and creative works:
750

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )