• Djordje Mladenovic, Milos Antonijevic, Luka Jovanovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin, Tamara Zivkovic, Jasmina Perisic ,,Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers,, , Scientific Reports volume 14, Article number: 25731 (2024) ,(m21, IF 3.8 ) , DOI: 10.1038/s41598-024-77240- w
•  
• 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

• Aleksandar Petrovic; Ivana Strumberger; Milos Antonijevic; Dijana Jovanovic; Djordje Mladenovic; Amit Chabbra. Firefly-Xgboost Approach for Pedestrian Detection Zooming Innovation in Consumer Technologies Conference (ZINC) Conference Location: Novi Sad, Serbia, August 2022. DOI: 10.1109/ZINC55034.2022.9840700 M(33).
• Milos Bukumira, Milos Antonijevic, Djordje Mladenovic. Using different types of blockchain to increase efficiency for specific applications . International Scietific conference on information tehnology, computer science, and data science pp. 206-211. Sinteza , Belgrade 2024 (M33).
• 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

• 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

Рад:

Firefly-Xgboost Approach for Pedestrian Detection Aleksandar Petrovic; Ivana Strumberger; Milos Antonijevic; Dijana Jovanovic; Djordje Mladenovic; Amit Chabbra. Published in: 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC) DOI: 10.1109/ZINC55034.2022.9840700 Publisher: IEEE Date Added to IEEE Xplore: 08 August 2022

је цитиран:

1. Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networksL Jovanovic, M Zivkovic, N Bacanin… - International Journal of … - content.iospress.com- This study explores the realm of time series forecasting, focusing on the utilization of Recurrent Neural Networks 22 (RNN) to detect abnormal cardiovascular …
2. Computer-Vision Unmanned Aerial Vehicle Detection System Using YOLOv8 Architectures A Petrovic, N Bacanin, L Jovanovic… - International Journal of …, 2024 - zealpress.com - This work aims to test the performance of the you only look once version 8(YOLOv8) model for the problem of drone detection. Drones are very slightly regulated and …
3. Reinforcement Learning and Gamification: a Framework for Integrating Intelligent Agents In M Antonijevic, D Jovanovic - books.google.com Пре 30 дана - Using RL and Python simulations are produced that closely mimic those observed in the real world, and an agent is trained using a form of genetic algorithm. The …
4. Structured query language injection detection with natural language processing techniques optimized by metaheuristics . A Jokic, N Jovic, V Gajic, M Svicevic… - … on Innovation in …, 2024 - books.google.com- This research focuses on the detection of Structured Query Language (SQL) injection intrusion detection. This problem has gained significance due to the widespread …
5. Reinforcement Learning and Gamification: a Framework for Integrating Intelligent Agents In Retro Video Games . N Josipovic, A Petrovic, A Cuk… - … on Innovation in …, 2024 - atlantis-press.com This work explores the benefits that reinforcement learning (RL) and unsupervised learning (UL) have over supervised learning (SL). Using RL and Python …
6. Exploring YOLOv8 architecture applications for weed detection in crops A Petrovic, M Pavkovic, M Svicevic… - … on Innovation in …, 2024 - atlantis-press.com .This work has a goal to test a deep-learning approach to the problem of aerial weed detection in crops. The issue of this type of detection lies in the nature of plants and …
7. A hybrid ensemble machine learning model for discharge coefficient prediction of side orifices with different shapes. Y Deng, D Zhang, D Zhang, J Wu, Y Liu - Flow Measurement and …, 2023 - Elsevier Side orifices are widely applied for flow control and regulation in channel systems. Accurate estimation of the discharge coefficient of the side orifice is significant for water management …

Рад:

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

је цитиран:

1. 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 Spam and emails have always been intrinsically linked since the creation of the Advanced Research Projects Agency Network, otherwise known as (ARPANET). The latter witnessed …
2. Intrusion detection by xgboost model tuned by improved multi-verse optimizer A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com . Artificial intelligence and internet of things (IoT) fields have contributed to the flourishment of the industry 4.0 concept. The main benefits include the improvements in terms of device …
3. Retinal disease classification based on optical coherence tomography images using convolutional neural networks. M Stanojević, D Drašković… - Journal of Electronic …, 2023 - spiedigitallibrary.org The challenges in today's medicine are progressively more related to the application of artificial intelligence and supervised learning techniques. Optical coherence tomography …
4. 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 This paper explores classification of datasets for Healthcare 4.0 using artificial neural networks which are tuned by improved sine cosine algorithm (SCA). Healthcare 4.0 themes …
5. The xgboost approach tuned by tlb metaheuristics for fraud detection A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com .The recent pandemic had a major impact on online transactions. With this trend, credit card fraud increased. For the solution to this problem the authors explore existing solutions and …
6. Forecasting bitcoin price by tuned long short term memory model A Petrovic, L Jovanovic, M Zivkovic… - … on innovation in …, 2023 - atlantis-press.com .The interest for cryptocurrencies is high and hence this work focuses on providing a practical real-world application of the swarm metaheuristics and long short term memory model …

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. Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation M Stankovic, L Jovanovic, A Bozovic… - International Journal of … - content.iospress.com
2. Stock price prediction based on Weighted Meta-Extreme Learning Machine Y Song, S Zang, J Ma, H Li, J Lv - 2024 39th Youth Academic …, 2024 - ieeexplore.ieee.org
3. Forecasting bitcoin: Decomposition aided long short-term memory based time series modelling and its explanation with shapley values V Mizdrakovic, M Kljajic, M Zivkovic, N Bacanin… - Knowledge-Based 2024 – Elsevier Bitcoin price volatility fascinates both researchers and investors, studying features that influence its movement.
4. Optimization of a Deep Learning-Based Model for Detecting DDoS Attacks in Cloud Computing AM Haval, SS Dash - Nanotechnology Perceptions, 2024 - nano-ntp.com . Abstract Intrusion Detection Systems (IDS) in the Cloud Computing (CC) environment have garnered significant attention in recent years.
5. Forecasting bitcoin: Decomposition aided long short-term memory based time series modelling and its explanation with shapley values . V Mizdrakovic, M Kljajic, M Zivkovic, N Bacanin… - Knowledge-Based 2024 – Elsevier - Bitcoin price volatility fascinates both researchers and investors, studying features that influence its movement. This paper expends on previous research...
6. Stock price prediction based on Weighted Meta-Extreme Learning Machine Y Song, S Zang, J Ma, H Li, J Lv - 2024 39th Youth Academic …, 2024 - ieeexplore.ieee.org With the continuous development of China's stock market, stock forecasting has gradually become a focus of attention. Aiming at the Meta-ELM algorithm in the field of...
7. Hybrid Model Optimization With Modified. V Markovic, A Njegus, L Jovanovic¹, T Zivkovic… - books.google.com - Parkinson's disease, a progressive neurological disorder primarily affecting elderly males, stems from dysregulation within the extrapyramidal tracts, notably the...
8. Reinforcement Learning and Gamification: a Framework for Integrating Intelligent Agents In M Antonijevic, D Jovanovic - books.google.com Using RL and Python simulations are produced that closely mimic those observed in the real world, and an agent is trained using a form of genetic algorithm.
9. Extreme Learning Machines framework with Python and TensorFlow K Struniawski, R Kozera - SoftwareX, 2024 – Elsevier TfELM introduces an innovative Python framework leveraging TensorFlow for Extreme Learning Machines (ELMs), offering a comprehensive suite for diverse machine …
10. Reinforcement Learning and Gamification: a Framework for Integrating Intelligent Agents In M Antonijevic, D Jovanovic - books.google.com - Using RL and Python simulations are produced that closely mimic those observed in the real world, and an agent is trained using a form of genetic algorithm.
11. Hybrid Model Optimization With Modified V Markovic, A Njegus, L Jovanovic¹, T Zivkovic… - books.google.com - Parkinson's disease, a progressive neurological disorder primarily affecting elderly males, stems from dysregulation within the extrapyramidal tracts, notably the …
12. Employee reviews sentiment classification using BERT encoding and AdaBoost classifier tuned by modified PSO algorithm P Mani, N Bacanin - 2024 - books.google.com - Sentiment analysis of the employee reviews is very important to understand the satisfaction in the company, predict the engagement of the employees, identify the risk of …
13. Optimizing SQL injection detection using BERT encoding and AdaBoost Classification M Zivkovic, L Jovanovic, M Bukumira… - … on Innovation in …, 2024 - books.google.com - SQL injection attacks are still considerable threat to the web applications and organizations security in general, giving the attackers the opportunity to cause execution of …
14. Structured query language injection detection with natural language processing techniques optimized by metaheuristics . eA Jokic, N Jovic, V Gajic, M Svicevic… - … on Innovation in …, 2024 - books.google.com - This research focuses on the detection of Structured Query Language (SQL) injection intrusion detection. This problem has gained significance due to the widespread …
15. Performance of Extreme Learning FAKQ Al-nagashi - … and Mechatronics: Proceedings of SIMM 2023 - books.google.com - Classification is a critical aspect of machine learning with wide-ranging applications in various fields. In this article, the effectiveness of two popular classification …
16. Employee reviews sentiment classification using BERT encoding and AdaBoost classifier tuned by modified PSO algorithm . V Markovic, A Njegus, D Bulaja… - … on Innovation in …, 2024 - atlantis-press.com - Sentiment analysis of the employee reviews is very important to understand the satisfaction in the company, predict the engagement of the employees, identify the risk of …
17. Reinforcement Learning and Gamification: a Framework for Integrating Intelligent Agents In Retro Video Games . N Josipovic, A Petrovic, A Cuk… - … on Innovation in …, 2024 - atlantis-press.com - This work explores the benefits that reinforcement learning (RL) and unsupervised learning (UL) have over supervised learning (SL). Using RL and Python …
18. Online harassment detection on online data science platforms optimized by metaheuristic N Bacanin, M Kabiljo, L Babic, V Gajic… - … on Innovation in …, 2024 - atlantis-press.com - Cyberbullying denotes one of the recent pervasive problems, mostly found on social networks, that poses a considerable challenge to keep safe and inclusive.
19. Exploring YOLOv8 architecture applications for weed detection in crops A Petrovic, M Pavkovic, M Svicevic… - … on Innovation in …, 2024 - atlantis-press.com - This work has a goal to test a deep-learning approach to the problem of aerial weed detection in crops. The issue of this type of detection lies in the nature of plants and …
20. Hybrid Model Optimization With Modified Metaheuristics for Parkinson's Disease Detection V Markovic, A Njegus, L Jovanovic… - … on Innovation in …, 2024 - atlantis-press.com - Parkinson's disease, a progressive neurological disorder primarily affecting elderly males, stems from dysregulation within the extrapyramidal tracts.
21. 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
22. Machine learning tuning by diversity oriented firefly metaheuristics for industry 4.0 Jovanovic, N Bacanin, M Zivkovic… - Expert, 2024 - Wiley Online Library
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. The use of machine learning in digital forensics Y Al Balushi, H Shaker, B Kumar - 1st International Conference …, 2023 - atlantis-press.com
30. Forecasting bitcoin price by tuned long short term memory model A Petrovic, L Jovanovic, M Zivkovic… - … on innovation in …, 2023 - atlantis-press.com
31. 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
32. The xgboost approach tuned by tlb metaheuristics for fraud detection A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
33. 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
34. 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
35. 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
36. 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
37. 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
38. Univariate Individual Household Energy Forecasting by Tuned Long Short-Term Memory Network M Stankovic, L Jovanovic, M Antonijevic… - Inventive Systems and …, 2023 - Springer
39. Pleasantness Recognition Induced by Different Odor Concentrations Using Olfactory Electroencephalogram Signals HR Hou, RX Han, XN Zhang, QH Meng - Sensors, 2022 - mdpi.com
40. 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
41. Genetic Algorithm for High-Dimensional Emotion Recognition from Speech Signals L Yue, P Hu, SC Chu, JS Pan - Electronics, 2023 - mdpi.com
42. 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
43. Comparison of Selected Numerical Methods for Solving Integro-Differential Equations with the Cauchy Kernel R Brociek, M Pleszczyński - Symmetry, 2024 - mdpi.com
44. 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
45. Feature Selection and Optimization Based Deep Learning for Rainfall Prediction J Mani - Proceedings of the 1st International Conference on …, 2023 - books.google.com
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. Intrusion Detection by XGBoost Model Tuned by Improved Multi-verse Optimizer A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
53. 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
54. 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
55. Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate Time- Series ForecastingT Bezdan - researchgate.net
56. Blockchain-Based IoT Security and Data Privacy Protection System MAL Wahaibi, V Padmanabha - researchgate.net
57. 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. YOLOv8 Utilization in Occupational Health and Safety P Jankovic, M Protić, L Jovanovic… - 2024 Zooming …, 2024 - ieeexplore.ieee.org - The field of occupational health and safety focuses on minimizing losses by preserving and protecting human and physical assets in workplaces.
2. . Exploring Pre-Trained Model Potential for Reflective Vest Real Time Detection With YOLOv8 Models A Milanovic, L Jovanovic, M Zivkovic… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org - Workplace safety is crucial across all industries, particularly in dynamic environments like construction and road infrastructure.
3. Forecasting bitcoin: Decomposition aided long short-term memory based time series modelling and its explanation with shapley values . V Mizdrakovic, M Kljajic, M Zivkovic, N Bacanin… - Knowledge-Based, 2024 – Elsevier - Bitcoin price volatility fascinates both researchers and investors, studying features that influence its movement.
4. Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding R Kiss, G Szűcs - Complex & Intelligent Systems, 2024 – Springer - Network science has witnessed a surge in popularity, driven by the transformative power of node representation learning for diverse applications like social …
5. An intelligent mangosteen grading system based on an improved convolutional neural network Y Zhang, AS Mohd Khairuddin, JH Chuah… - Signal, Image and Video …, 2024 – Springer - Efficient grading of mangosteens is vital in ensuring timely post-harvest storage and preservation for maximizing profits. Currently, manual grading is susceptible to …
6. 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
7. 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
8. 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
9. Text Document Clustering Approach by Improved Sine Cosine Algorithm B Radomirović, V Jovanović, B Nikolić... - ... Technology and Control, 2023 - itc.ktu.lt
10. 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
11. 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
12. Univariate Individual Household Energy Forecasting by Tuned Long Short-Term Memory Network M Stankovic, L Jovanovic, M Antonijevic... - Inventive Systems and ..., 2023 - Springer
13. Apple object detection based on improved YOLOX C Xiu, Z Yao, X Ma - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
14. 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
15. 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
16. 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
17. GNViT-An enhanced image-based groundnut pest classification using Vision Transformer (ViT) model P Venkatasaichandrakanth, M Iyapparaja - Plos one, 2024 - journals.plos.org
18. Improving academic performance predictions with dual graph neural networks
19. Q Huang, Y Zeng - Complex & Intelligent Systems, 2024 – Springer
20. A Lightweight Graph Neural Network Algorithm for Action Recognition Based on Self- Distillation M Feng, J Meunier - Algorithms, 2023 - mdpi.com
21. 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.
22. Intrusion Detection by XGBoost Model Tuned by Improved Multi-verse Optimizer A Petrovic, M Antonijevic, I Strumberger… - Proceedings of the …, 2023 - books.google.com
23. 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. IoT-driven predictive healthcare system for proactive treatment and improved patient management A Jain, SK Rakesh - AIP Conference Proceedings, 2024 - pubs.aip.org The convergence of machine learning (ML) and the Internet of Things (IoT) has opened up new possibilities in healthcare, enabling the development of intelligent systems that can …
2. 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
3. Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction
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