др Ђорђе Младеновић | | Одсек Висока школа за информационе и комуникационе технологије

др Ђорђе Младеновић 

Ђорђе Младеновић
  •  Звање: Виши предавач
  •  Област / ужа научна област:
    Рачунарске науке/Рачунарство и информатика
  •  Члан Већа: Студијски програм Интернет технологије
  •  Email:

 Образовање

Докторску дисертацију под називом „Алгоритми за детекцију лица и Фуријерова трансформација у Облаку“ одбранио на Факултету за компјутерске науке у Београду 2022. године и тиме стекао академско звање доктор рачунарских наука.

Дипломираo на Математичком факултету Универзитета у Београду 2009. године. на смеру професор математике и информатике.

 Кретања у служби

2023 – данас Висока школа струковних студија за информационе и комуникационе технологије, Београд

2012 -- 2023 Професор математике – у средњој ЕТШ ,, Стари град,, Београд

2015-- 2023 Професор математике и информатике у Академији Доситеј , Београд – додатни рад

2010 – 2012 Помоћник директора и координатор ванредне наставе у средњој Графичкој школи , Н.Београд

2009- 2010 Професор математике и информатике у Општој Гимназији „Милутин Миланковић“ Београд.

 Стручна усавршавања и активности у стручним удружењима

  • Лиценца за рад у просвети од Министарства просвете, науке и технолошког развоја и здата 22.12.2012.
  • ECDL Authorized Tester JISA/ Union of ICT Societies serial number: CS 0965J Модернизација система средњег стручног образовања 428/2012 (Министарство просвете, науке и технолошког развоја) Немачка консултантска кућа GOPA преко Делегације Европске уније у Републици Србији, Тема обуке: Реализација наставних програма заснованих на исходима
  • Етика и интегритет, Република Србија Агенција за спречавање корупција 20.10.2022.
  • Учешће на пројекту развоја TheHome система на основу уговора са Synapsico AB, Stockholm, Sweden од 2022.
  • Учешће на изради софтвера на пројекту са финансијском подршком у привреди под називом FDA. Restful. API авуста 2022.

Међународни часописи са импакт фактором:

  • N. Bačanin, C. Stoean, M. Živković, D.Jovanović, M.Antonijević, Đ.Mladenović, „Multi-Swarm Algorithm for Extreme Learning Machine Optimization”, Sensors 22(11):4204, 2022, M21, (IF=3,576 u 2020.), DOI: 10.3390/s22114204
  • M. Bukumira, M.Antonijević, D.Jovanović, M. Živković, Đ.Mladenović, G. Kunjadić, „Carrot grading system using computer vision feature parameters and a cascaded graph convolutional neural network“, Journal of Electronic Imaging 31(6), 2022, M23, (IF=0,945 u 2020.) DOI: 10.1117/1.jei.31.6.061815
  • M.Antonijević, I. Strumberger,S. Lazarević, N. Bačanin, Đ.Mladenović, D.Jovanović, „Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments“, Journal of Electronic Imaging 31(6), 2022, M23, (IF=0,945 u 2020.) DOI: 10.1117/1.jei.31.6.061808, Part of ISSN: 1017-990
  • M.Antonijević, D.Jovanović,S. Lazarević, , Đ.Mladenović, M.Bukumira , N. Bačanin Target recognition approach using image local features in rehabilitation robots Journal of Electronic Imaging 31(6), 2022, M23, (IF=0,945 u 2020.) DOI: 10.1117/1.jei.31.6.061810 Part of ISSN: 1017-9909

Зборници међународних конференција:

  • Slobodan Čabarkapa, Đorđe Mladenović ,DEVOPS METHODOLOGY FOR DEVELOPING SOFTWARE SOLUTIONS AND PRACTICES , Book of Proceedings, International Multidisciplinary Conference "Challenges of Contemporary Higher Education" - CCHE 2024, Vol 1, pp. 479-484, 29.1- 3.2.2024. Kopaonik, Serbia. ISBN-978-86-82744-02-3, ISBN-978-86-82744-00-9 , M(33).
  • N. Milutinovic, M. Živkovic, Đ.Mladenović,M. Antonijević, S.Čabarkapa, N. Bačanin, „Tuning Artifical Neural Networkfor for Healhcare 4.0 by sine Cosine Algorithm –“International Conference on Intelligent Data Communication Technologies and Internet of Things 2023by REVA Univerzity, Bengaluru, India) (IDCIoT) 2023-01-05 |  (M33) Conference paper DOI: 10.1109/idciot56793.2023.10053543

Пројекти:

Књиге и скрипте:

  • Ђ. Младеновић, Д. Јовановић, “Алгоритми за детекцију у Cloud окружењу”, Београд, 2022, ISBN 978-86-81376-02-7.
  • Н. Којић, М. Чанчаревић, Л. Лукић, К. Лазић, Д. Борчанин, Ђ. Младеновић, Збирка задатака из Web програмирања, Академија техничко-уметничких струковних студија Београд, 2023. ISBN 978-86-6090-023-6

Цитираност:

Рад:

Bacanin, N., Stoean, C., Zivkovic, M., Jovanovic, D., Antonijevic, M., & Mladenovic, D. (2022). Multi- swarm algorithm for extreme learning machine optimization. Sensors, 22(11), 4204. https://doi.org/10.3390/s22114204 (M21)

је цитиран:

  1. The explainable potential of coupling metaheuristics-optimized-xgboost and shap in revealing vocs' environmental fate L Jovanovic, G Jovanovic, M Perisic, F Alimpic… - Atmosphere, 2023 - mdpi.com
  2. Machine learning tuning by diversity oriented firefly metaheuristics for industry 4.0 Jovanovic, N Bacanin, M Zivkovic… - Expert, 2024 - Wiley Online Library
  3. Metaheuristic-based hyperparameter tuning for recurrent deep learning: application to the prediction of solar energy generation C Stoean, M Zivkovic, A Bozovic, N Bacanin… - Axioms, 2023 - mdpi.com
  4. Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on shapley additive explanations T Zivkovic, B Nikolic, V Simic, D Pamucar… - Applied Soft …, 2023 - Elsevier
  5. Potential of coupling metaheuristics-optimized-XGBoost and SHAP in revealing PAHs environmental fate G Jovanovic, M Perisic, N Bacanin, M Zivkovic… - Toxics, 2023 - mdpi.com
  6. Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection N Bacanin, M Zivkovic, M Antonijevic… - Complex & Intelligent …, 2023 - Springer
  7. The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere N Bacanin, M Perisic, G Jovanovic… - Science of The Total …, 2024 - Elsevier
  8. Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis M Todorovic, N Stanisic, M Zivkovic, N Bacanin… - Applied Soft …, 2023 - Elsevier
  9. The use of machine learning in digital forensics Y Al Balushi, H Shaker, B Kumar - 1st International Conference …, 2023 - atlantis-press.com
  10. Forecasting bitcoin price by tuned long short term memory model A Petrovic, L Jovanovic, M Zivkovic… - … on innovation in …, 2023 - atlantis-press.com
  11. Artificial neural network tuning by improved sine cosine algorithm for healthcare 4.0 M Gajevic, N Milutinovic, J Krstovic… - Proceedings of the …, 2023 - books.google.com
  12. The xgboost approach tuned by tlb metaheuristics for fraud detection A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
  13. Intrusion detection by XGBoost model tuned by improved social network search algorithm N Bacanin, A Petrovic, M Antonijevic, M Zivkovic… - … on Modelling and …, 2022 - Springer
  14. Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting M Pavlov-Kagadejev, L Jovanovic, N Bacanin… - Artificial Intelligence …, 2024 - Springer
  15. Combustion process modeling based on deep sparse least squares support vector regression W Zheng, C Wang, D Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
  16. Decomposition aided attention-based recurrent neural networks for multistep ahead time- series forecasting of renewable power generation R Damaševičius, L Jovanovic, A Petrovic… - PeerJ Computer …, 2024 - ncbi.nlm.nih.gov
  17. Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets N Bacanin, C Stoean, D Markovic, M Zivkovic… - Multimedia Tools and …, 2024 - Springer
  18. Univariate Individual Household Energy Forecasting by Tuned Long Short-Term Memory Network M Stankovic, L Jovanovic, M Antonijevic… - Inventive Systems and …, 2023 - Springer
  19. Pleasantness Recognition Induced by Different Odor Concentrations Using Olfactory Electroencephalogram Signals HR Hou, RX Han, XN Zhang, QH Meng - Sensors, 2022 - mdpi.com
  20. MEMS Gyroscope Temperature Compensation Based on Improved Complete Ensemble Empirical Mode Decomposition and Optimized Extreme Learning …Z Zhang, J Zhang, X Zhu, Y Ren, J Yu, H Cao - Micromachines, 2024 - mdpi.com
  21. Genetic Algorithm for High-Dimensional Emotion Recognition from Speech Signals L Yue, P Hu, SC Chu, JS Pan - Electronics, 2023 - mdpi.com
  22. Escaping Stagnation through Improved Orca Predator Algorithm with Deep Reinforcement Learning for Feature Selection R Olivares, C Ravelo, R Soto, B Crawford - Mathematics, 2024 - mdpi.com
  23. Comparison of Selected Numerical Methods for Solving Integro-Differential Equations with the Cauchy Kernel R Brociek, M Pleszczyński - Symmetry, 2024 - mdpi.com
  24. Modified artificial bee colony algorithm for tuning simple LSTM for multivariate time-series forecasting J Krstovic, N Bacanin, M Zivkovic, A Bozovic… - on Communication and …, 2023 - Springer
  25. Feature Selection and Optimization Based Deep Learning for Rainfall Prediction J Mani - Proceedings of the 1st International Conference on …, 2023 - books.google.com
  26. Marine Vessel Trajectory Forecasting Using Long Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm A Toskovic, A Petrovic, L Jovanovic, N Bacanin… - … Conference on Trends …, 2023 - Springer
  27. Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network M Salb, A Elsadai, L Jovanovic, M Zivkovic… - … Conference on IoT …, 2023 - Springer
  28. The Long Short-Term Memory Tuning for Multi-step Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition M Salb, L Jovanovic, N Bacanin, G Kunjadic… - … on Paradigms of …, 2023 - Springer
  29. The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel ClassificationM Bukumira, M Zivkovic, M Antonijevic… - … on Advances in Data …, 2023 - Springer
  30. Gold Price Forecast Using Variational Mode Decomposition-Aided Long Short-Term Model Tuned by Modified Whale Optimization Algorithm S Golubovic, A Petrovic, A Bozovic… - … Conference on Data …, 2023 - Springer
  31. Training a Logistic Regression Machine Learning Model for Spam Email Detection Using the Teaching-Learning-Based-Optimization Algorithm BK Berrou, K Al Kalbani, M Antonijevic… - Proceedings of the …, 2023 - books.google.com
  32. Intrusion Detection by XGBoost Model Tuned by Improved Multi-verse Optimizer A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
  33. Detection of BotNet Using Extreme Learning Machine Tuned by Enhanced Sine Cosine AlgorithmN Bacanin, M Zivkovic, Z Hajdarevic, A Petrovic… - … on Advances and …, 2022 - Springer
  34. Efficiency Improvement of Deepening Data Application of State Grid Power under Machine Learning Algorithm W Xing, T Wu, B Wu - 2024 3rd International Conference for …, 2024 - ieeexplore.ieee.org
  35. Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate Time- Series ForecastingT Bezdan - researchgate.net
  36. Blockchain-Based IoT Security and Data Privacy Protection System MAL Wahaibi, V Padmanabha - researchgate.net
  37. XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems M Zivkovic, L Jovanovic, N Bacanin, A Petrovic… - … on Engineering, Applied …, 2017 - Springer

Рад:

Bukumira, M., Antonijevic, M., Jovanovic, D., Zivkovic, M., Mladenovic, D., & Kunjadic, G. (2022). Carrot grading system using computer vision feature parameters and a cascaded graph convolutional neural network. Journal of Electronic Imaging, 31(6), 061815-061815. DOI: 10.1117/1.jei.31.6.061815. (M23)

је цитиран:

  1. Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate G Jovanovic, M Perisic, N Bacanin, M Zivkovic... - Toxics, 2023 - mdpi.com
  2. Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation C Stoean, M Zivkovic, A Bozovic, N Bacanin... - Axioms, 2023 - mdpi.com
  3. Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations T Zivkovic, B Nikolic, V Simic, D Pamucar... - Applied Soft ..., 2023 - Elsevier
  4. Text Document Clustering Approach by Improved Sine Cosine Algorithm B Radomirović, V Jovanović, B Nikolić... - ... Technology and Control, 2023 - itc.ktu.lt
  5. Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm N Bacanin, A Petrovic, M Antonijevic, M Zivkovic... - ... on Modelling and ..., 2022 - Springer
  6. Tuned Long Short-Term Memory Model for Ethereum Price Forecasting Through an Arithmetic Optimization Algorithm M Stankovic, L Jovanovic, N Bacanin... - ... on Innovations in Bio ..., 2022 - Spring
  7. Univariate Individual Household Energy Forecasting by Tuned Long Short-Term Memory Network M Stankovic, L Jovanovic, M Antonijevic... - Inventive Systems and ..., 2023 - Springer
  8. Apple object detection based on improved YOLOX C Xiu, Z Yao, X Ma - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
  9. The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere N Bacanin, M Perisic, G Jovanovic… - Science of The Total …, 2024 - Elsevier
  10. Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis M Todorovic, N Stanisic, M Zivkovic, N Bacanin… - Applied Soft …, 2023 – Elsevier
  11. Intrusion detection by XGBoost model tuned by improved social network search algorithm N Bacanin, A Petrovic, M Antonijevic, M Zivkovic… - … on Modelling and …, 2022 – Springer
  12. GNViT-An enhanced image-based groundnut pest classification using Vision Transformer (ViT) model P Venkatasaichandrakanth, M Iyapparaja - Plos one, 2024 - journals.plos.org
  13. Improving academic performance predictions with dual graph neural networks
  14. Q Huang, Y Zeng - Complex & Intelligent Systems, 2024 – Springer
  15. A Lightweight Graph Neural Network Algorithm for Action Recognition Based on Self- Distillation M Feng, J Meunier - Algorithms, 2023 - mdpi.com
  16. Modified artificial bee colony algorithm for tuning simple LSTM for multivariate time-series forecasting J Krstovic, N Bacanin, M Zivkovic, A Bozovic - on Communication an 2023 – Springer.
  17. Intrusion Detection by XGBoost Model Tuned by Improved Multi-verse Optimizer A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
  18. Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate Time- Series Forecasting T Bezdan - researchgate.net

Рад:

Antonijevic, M., Jovanovic, D., Lazarevic, S., Mladenovic, D., Bukumira, M., & Bacanin, N. (2022). Target recognition approach using image local features in rehabilitation robots. Journal of Electronic Imaging, 31(6), 061810-061810. DOI: 10.1117/1.jei.31.6.061810 (M23)

је цитиран:

  1. Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time S Rathor, SC Agrawal, RS Bhadoria... - Wireless Personal ..., 2023 - Springer

Рад:

Tuning artificial neural network for healthcare 4.0. by sine cosine algorithm Nemanja Milutinovic, Slobodan Cabarkapa, Miodrag Zivkovic, Milos Antonijevic, Djordje Mladenovic, Nebojsa Bacanin , 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) , 510-513 , IEEE.

је цитиран:

  1. Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm M Todorovic, A Petrovic, A Toskovic… - … and Services in …, 2023 - ieeexplore.ieee.org
  2. Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction
  3. ABozovic, L Jovanovic, E Desnica, N Bacanin… - Congress on Intelligent …, 2023 – Springer
  4. Flood Prediction Based on Recurrent Neural Network Time Series Classification Boosted by Modified Metaheuristic Optimization I Markovic, J Krzanovic, L Jovanovic, A Toskovic… - … on Advances in Data …, 2023 -Springer