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Microprocessors and Microsystems
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February 14, 2023
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
Nebojsa Bacanin, K Venkatachalam, Timea Bezdan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 21, 2022
Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification
Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, et al.
Neural Computing & Applications
|
February 7, 2022
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Nebojsa Bacanin, Miodrag Zivkovic, Timea Bezdan, et al.
Sensors (Basel, Switzerland)
|
June 10, 2022
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, et al.
Peerj. Computer Science
|
May 31, 2022
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
Miodrag Zivkovic, Milan Tair, Venkatachalam K, et al.
Sensors (Basel, Switzerland)
|
March 10, 2022
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
Miodrag Zivkovic, Catalin Stoean, Amit Chhabra, et al.
Peerj. Computer Science
|
January 23, 2024
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrovic, et al.
Peerj. Computer Science
|
October 9, 2023
Wall segmentation in 2D images using convolutional neural networks
Mihailo Bjekic, Ana Lazovic, Venkatachalam K, et al.
Sensors (Basel, Switzerland)
|
October 13, 2021
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design
Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, et al.
Peerj. Computer Science
|
July 6, 2023
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Milos Dobrojevic, Miodrag Zivkovic, Amit Chhabra, et al.
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Search research articles
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Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Microprocessors and Microsystems
|
February 14, 2023
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
Nebojsa Bacanin, K Venkatachalam, Timea Bezdan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
April 21, 2022
Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification
Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, et al.
Neural Computing & Applications
|
February 7, 2022
Modified firefly algorithm for workflow scheduling in cloud-edge environment
Nebojsa Bacanin, Miodrag Zivkovic, Timea Bezdan, et al.
Sensors (Basel, Switzerland)
|
June 10, 2022
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, et al.
Peerj. Computer Science
|
May 31, 2022
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
Miodrag Zivkovic, Milan Tair, Venkatachalam K, et al.
Sensors (Basel, Switzerland)
|
March 10, 2022
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
Miodrag Zivkovic, Catalin Stoean, Amit Chhabra, et al.
Peerj. Computer Science
|
January 23, 2024
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
Robertas Damaševičius, Luka Jovanovic, Aleksandar Petrovic, et al.
Peerj. Computer Science
|
October 9, 2023
Wall segmentation in 2D images using convolutional neural networks
Mihailo Bjekic, Ana Lazovic, Venkatachalam K, et al.
Sensors (Basel, Switzerland)
|
October 13, 2021
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design
Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, et al.
Peerj. Computer Science
|
July 6, 2023
Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
Milos Dobrojevic, Miodrag Zivkovic, Amit Chhabra, et al.
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of 3