@ARTICLE{
author={Stoean Ruxandra,Bacanin Nebojsa,Stoean Catalin,Ionescu Leonard},
year={2024},
title={Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display},
journal={JOURNAL OF CULTURAL HERITAGE},
volume={69},
number={},
pages={18-26},
document_type={Article},
} 

@ARTICLE{
author={Bacanin Nebojsa,Jovanovic Luka Z,Stoean Ruxandra,Stoean Catalin,Zivkovic Miodrag Z,Antonijevic Milos,Dobrojevic Milos},
year={2024},
title={Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics},
journal={AXIOMS},
volume={13},
number={5},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Bacanin Nebojsa,Stoean Catalin,Markovic Dusan,Zivkovic Miodrag Z,Rashid Tarik A,Chhabra Amit,Sarac Marko},
year={2024},
title={Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets},
journal={MULTIMEDIA TOOLS AND APPLICATIONS},
volume={},
number={},
pages={-},
document_type={Article; Early Access},
} 

@ARTICLE{
author={Minic Ana,Jovanovic Luka Z,Bacanin Nebojsa,Stoean Catalin,Zivkovic Miodrag Z,Spalevic Petar C,Petrovic Aleksandar,Dobrojevic Milos,Stoean Ruxandra},
year={2023},
title={Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data},
journal={SENSORS},
volume={23},
number={24},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Stoean Ruxandra,Bacanin Nebojsa,Stoean Catalin,Ionescu Leonard,Atencia Miguel,Joya Gonzalo},
year={2023},
title={Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning},
journal={JOURNAL OF CULTURAL HERITAGE},
volume={64},
number={},
pages={198-206},
document_type={Article},
} 

@ARTICLE{
author={Saravana-Balaji B,Paja Wieslaw,Antonijevic Milos,Stoean Catalin,Bacanin Nebojsa,Zivkovic Miodrag Z},
year={2023},
title={IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning},
journal={HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES},
volume={13},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Stoean Catalin,Zivkovic Miodrag Z,Bozovic Aleksandra,Bacanin Nebojsa,Strulak-Wojcikiewicz Roma,Antonijevic Milos,Stoean Ruxandra},
year={2023},
title={Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation},
journal={AXIOMS},
volume={12},
number={3},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Bacanin Nebojsa,Stoean Catalin,Zivkovic Miodrag Z,Rakic Miomir,Strulak-Wojcikiewicz Roma,Stoean Ruxandra},
year={2023},
title={On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting},
journal={ENERGIES},
volume={16},
number={3},
pages={-},
document_type={Review},
} 

@ARTICLE{
author={Bacanin Nebojsa,Zivkovic Miodrag Z,Stoean Catalin,Antonijevic Milos,Janicijevic Stefana,Sarac Marko,Strumberger Ivana},
year={2022},
title={Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering},
journal={MATHEMATICS},
volume={10},
number={22},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Bacanin Nebojsa,Stoean Catalin,Zivkovic Miodrag Z,Jovanovic Dijana,Antonijevic Milos,Mladenovic Djordje},
year={2022},
title={Multi-Swarm Algorithm for Extreme Learning Machine Optimization},
journal={SENSORS},
volume={22},
number={11},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Zivkovic Miodrag Z,Stoean Catalin,Chhabra Amit,Budimirovic Nebojsa,Petrovic Aleksandar,Bacanin Nebojsa},
year={2022},
title={Novel Improved Salp Swarm Algorithm: An Application for Feature Selection},
journal={SENSORS},
volume={22},
number={5},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Bezdan Timea,Stoean Catalin,Al Naamany Ahmed,Bacanin Nebojsa,Rashid Tarik A,Zivkovic Miodrag Z,Venkatachalam K},
year={2021},
title={Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering},
journal={MATHEMATICS},
volume={9},
number={16},
pages={-},
document_type={Article},
}