Luka Jovanovic

According to our database, Luka Jovanovic authored at least 21 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting.

Andjela Jovanovic, Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Milos Antonijevic

J. Netw. Comput. Appl., 2025

2024

Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction.

Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Milos Dobrojevic, Vladimir Simic, Kishor Kumar Sadasivuni, Erfan Babaee Tirkolaee

Neural Comput. Appl., August, 2024

Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics.

Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic

Axioms, May, 2024

Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics.

Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Joseph Mani, Miodrag Zivkovic, Marko Sarac

Soft Comput., April, 2024

Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting.

Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz

Artif. Intell. Rev., March, 2024

Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0.

Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger

Expert Syst. J. Knowl. Eng., February, 2024

McMini: A Programmable DPOR-Based Model Checker for Multithreaded Programs.

Maxwell Pirtle, Luka Jovanovic, Gene Cooperman

Art Sci. Eng. Program., 2024

Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics.

Luka Jovanovic, Robertas Damasevicius, Rade Matic, Milos Kabiljo, Vladimir Simic, Goran Kunjadic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin

PeerJ Comput. Sci., 2024

Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation.

Robertas Damasevicius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic

PeerJ Comput. Sci., 2024

Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values.

Vule Mizdrakovic, Maja Kljajic, Miodrag Zivkovic, Nebojsa Bacanin, Luka Jovanovic, Muhammet Deveci, Witold Pedrycz

Knowl. Based Syst., 2024

Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification.

Marko Stankovic, Luka Jovanovic, Aleksandra Bozovic, Nebojsa Budimirovic, Miodrag Zivkovic, Nebojsa Bacanin

Int. J. Hybrid Intell. Syst., 2024

Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models.

Aleksandar Petrovic, Luka Jovanovic, K. Venkatachalam, Miodrag Zivkovic, Nebojsa Bacanin, Nebojsa Budimirovic

Int. J. Hybrid Intell. Syst., 2024

Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models.

Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Miodrag Zivkovic

Eng. Appl. Artif. Intell., 2024

Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques.

Radic Goran, Luka Jovanovic, Nebojsa Bacanin, Milos S. Stankovic, Vladimir Simic, Milos Antonijevic, Miodrag Zivkovic

IEEE Access, 2024

Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning.

Jelica Cincovic, Luka Jovanovic, Bosko Nikolic, Nebojsa Bacanin

IEEE Access, 2024

2023

Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data.

Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean

Sensors, December, 2023

Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning.

Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Bosko Nikolic, Nebojsa Bacanin, Miodrag Zivkovic, Ivana Strumberger

J. Web Eng., 2023

Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks.

Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger

Inf. Sci., 2023

Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm.

Luka Jovanovic, Ivana Strumberger, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Petar Bisevac

Int. J. Hybrid Intell. Syst., 2023

Solar Flare Classification using Modified Metaheuristic Optimized XGBoost.

Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin

Proceedings of the 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2023

2022

The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection.

Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Budimirovic, Ivana Strumberger, Nebojsa Bacanin

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022