[institut] [phys4phys] Предавања Лабораторије за фотоакустику, уторак 23.04.2024. у 11.00, сала "Звонко Марић"

Dr. Dragan D. Markushev dragan.markushev at ipb.ac.rs
Sun Apr 21 23:34:22 CEST 2024


Поштоване колегинице и колеге,

Позивамо вас на наставак серије предавања које организује Лабораторија 
за фотоакустику Института за физику у Београду на тему: „Дизајн 
експеримента и вештачке неуронске мреже“.
Предавања ће бити одржана у уторак 23.04.2024, у сали „Звонко Марић“ и 
то:

11.00.-11.45.  RSM Моделирање процеса. Централни ортогонални 
композициони планови у DX. Augmenting to a Central Composite Design 
(CCD). (Response Surface methodology). Примери DOE (Design of 
Experiment) у фотоакустици ...

12.00.-12.45. DOE и ANN (ANN - Artificial Neural Network) – место у 
спирали истраживања. Моделирање помоћу ANN. Leave-one-out 
cross-validation method. Одабрани примери. Питања и одговори. Дискусија 
…

Предавач je др Милован Миливојевић, доктор информатичких наука и 
професор струковних студија са Катедре за информационе технологије 
Академије Западна Србија, Трг Светог Саве 34, 31000 Ужице.

Области истраживања

Data Science, Machine Learning and Artificial Intelligence. Topics: 
Object-oriented programming, Relational databases, Optimization, Design 
of Experiments-DOE, Regression models, regression analysis and applied 
statistics, Factor analysis - FA, Principal Component Analysis - PCA, 
Mathematical Modeling, Machine Learning with a focus on: Artificial 
Neural Networks - ANN, Genetic Algorithms-GА, Particle Swarm 
Optimization-PSO, Data Mining, Clustering, Outlier detection, Missing 
Values handling, Recommender Systems …

Одабране референце

1. Ma Y., Stopic S., Gronen L., Milivojevic M., Obradovic S., Friedrich 
B., Neural Network Modeling for the Extraction of Rare Earth Elements 
from Eudialyte Concentrate by Dry Digestion and Leaching, Metals 2018, 
8, 267; doi:10.3390/met8040267, pp. 1-22, ISSN 2075-4701, 
www.mdpi.com/journal/metals (M21/М22); M21 in category Material science, 
M22 in category Interdisciplinary science, IF(2016) -1.984, IF(5 
years)-1.926
2. Stojanovic B., Milivojevic M., Milivojevic N., Antonijevic D., 
Self-tuning system for dam behavior modelling based on evolving 
artificial neural networks, Advances in engineering software, July 2016, 
vol. 97, pp. 85-95, ISSN: 0965-9978. (M21a/M21); M21a in category 
Computer science, Software Engineering, M21 in category Computer 
Science, Interdisciplinary Applications, IF(2020)-4.141, IF(5 
year)-7.187
3. Stojanovic B., Milivojevic M., Ivanovic M., Milivojevic N., Divac D., 
Adaptive system for dam behavior modelling based on linear regression 
and genetic algorithms, Advances in engineering software, (2013), vol. 
65, pp. 182-190, ISSN: 0965-9978 (M21a/M21);M21a in category Computer 
science, Software Engineering, M21 in category Computer Science, 
Interdisciplinary Applications, IF(2020)-4.141, IF(5 years)-7.187
4. Milivojevic M., Stopic S., Friedrich B., Stojanovic B., Drndarevic D. 
(2012): Computer Modeling of High Pressure Leaching Process of Nickel 
Laterite by Design of Experiments and Neural Networks, International 
Journal of Minerals, Metallurgy and Materials, Volume 19, Number 7, July 
2012, 584-595, ISSN: 1674-4799 (M22), M22 IF(2020)-2.232, IF(5 
year)-1.931
5. Milivojevic M., Stopic S., Stojanovic B., Drndarevic D., Bernd F., 
Forward stepwise regression in determining dimensions of forming and 
sizing tools for self-lubricated bearings, METTAL Internationalle 
Fachzeitschrift fur metallurgie, April, 2013, Vol. 67, pp. 147-153, ISSN 
0026-0746
6. Drndarevic D., Milivojevic M., Modelling with neural networks, 
Journal of Mechatronics, Vol. 2., No. 2., June 2014., (143-146)
7. Milivojevic M., Obradovic S. Kurcubic J. Djokovic K., Application of 
radial basis function neural networks to prediction of raw water quality 
parameters, 9. Int. Conf. SED 2016, Uzice, Serbia, 30 Sep.-01 Oct., 
2016. (2.81 – 2.94), ISBN 978-86-83573-82-02, COBIS.SR-ID 227527948
8. Milivojevic M., Forst Dj., Subotic Lj., Djokovic K., Assessment of 
raw water quality by using k-means clustering software, 9. Int. Conf. 
SED 2016, Uzice, Serbia, 30 Sep.-01 Oct., 2016. (2.53 – 2.63), ISBN 
978-86-83573-82-02, COBIS.SR-ID 227527948
9. Milivojević M., Obradović, S., Pot, M., Drndarevic D., Content-Based 
Recommender System for scientific publications, 11. Int. Conf. SED 2019, 
Science and higher education in function of sustainable development, 
Mecavnik-Drvengrad, Uzice, Serbia, 24-25 May, 2019. ISBN 
978-86-83573-95-0, COBIS.SR-ID 277210636
10. Milivojević, M., Obradović, S., Kaplarevic Malisic, A., Petrovic, 
S., Analysis of student dropout at Western Serbia Academy of applied 
studies: a clustering based approach, 11. Int. Conf. SED 2021, Science 
and higher education in the function of sustainable development, Uzice, 
Serbia, 8th October 2021, ISBN 978-86-82078-11-1

Срдачан поздрав,

Драган Д. Маркушев
Научни саветник
Руководилац Лабораторије за фотоакустику
Центар за фотонику
Институт за физику у Београду
Институт од националног значаја за Републику Србију
-- 
Dr. Dragan D. MARKUSHEV
Principal Research Fellow
Photonics Center
Head of the Laboratory for Photoacoustics
Institute of Physics Belgrade
Pregrevica 118,
11080 Belgrade, SERBIA
cell: +381603169816
phone: +381113713158
fax: +381113162190
http://photonics.ipb.ac.rs/
http://www.ipb.ac.rs/
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