Listar por autor "Bacanin, Nebojsa"

Mostrando ítems 1-19 de 19

Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

Bacanin, Nebojsa; Zivkovic, Miodrag; Antonijevic, Milos; Kandasamy, Venkatachalam; Lee, Jinseok; Nam, Yunyoung; Marjanovic, Marina; Strumberger, Ivana; Abouhawwash, Mohamed (SPRINGER HEIDELBERG, 2023)

Feature selection and hyper-parameters optimization (tuning) are two of the most important and challenging tasks in machine learning. To achieve satisfying performance, every machine learning model has to be adjusted for ...
Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm

Bacanin, Nebojsa; Bezdan, Timea; Kandasamy, Venkatachalam; Zivkovic, Miodrag; Strumberger, Ivana; Abouhawwash, Mohamed; Ahmed, Abeer B (IEEE, 2021)

Artificial neural networks are one of the most commonly used methods in machine learning. Performance of network highly depends on the learning method. Traditional learning algorithms are prone to be trapped in local optima ...
Blockchain-enabled K-harmonic framework for industrial IoT-based systems

Baalamurugan, K. M.; Prabu, P.; Bacanin, Nebojsa; Kandasamy, Venkatachalam; Askar, S. S.; Abouhawwash, Mohamed (NATURE PORTFOLIO, 2023)

Industrial Internet of Things (IIoT)-based systems have become an important part of industry consortium systems because of their rapid growth and wide-ranging application. Various physical objects that are interconnected ...
Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

Basha, Jameer; Bacanin, Nebojsa; Vukobrat, Nikola; Zivkovic, Miodrag; Kandasamy, Venkatachalam; Hubálovský, Štěpán; Trojovský, Pavel (2021)

The research presented in this manuscript proposes a novel Harris Hawks optimization algorithm with practical application for evolving convolutional neural network architecture to classify various grades of brain tumor ...
A Chaotic Oppositional Whale Optimisation Algorithm with Firefly Search for Medical Diagnostics

Tair, Milan; Bacanin, Nebojsa; Zivkovic, Miodrag; Kandasamy, Venkatachalam (Tech Science Press, 2022)

There is a growing interest in the study development of artificial intelligence and machine learning, especially regarding the support vector machine pattern classification method. This study proposes an enhanced implementation ...
COVID-19 Severity Prediction Using Enhanced Whale with Salp Swarm Feature Classification

Budimirovic, Nebojsa; Prabhu, E.; Antonijevic, Milos; Zivkovic, Miodrag; Bacanin, Nebojsa; Strumberger, Ivana; Kandasamy, Venkatachalam (Tech Science Press, 2022)

Computerized tomography (CT) scans and X-rays play an important role in the diagnosis of COVID-19 and pneumonia. On the basis of the image analysis results of chest CT and X-rays, the severity of lung infection is monitored ...
Deep learning model for deep fake face recognition and detection

Suganthi, S. T.; Ayoobkhan, Mohamed U. A.; Kumar, Krishna, V.; Bacanin, Nebojsa; Kandasamy, Venkatachalam; Hubálovský, Štěpán; Trojovský, Pavel (PeerJ Inc, 2022)

Deep Learning is an effective technique and used in various fields of natural language processing, computer vision, image processing and machine vision. Deep fakes uses deep learning technique to synthesis and manipulate ...
Diabetes Prediction Algorithm Using Recursive Ridge Regression L2

Mravik, Milos; Vetriselvi, T.; Kandasamy, Venkatachalam; Sarac, Marko; Bacanin, Nebojsa; Adamovic, Sasa (Tech Science Press, 2022)

At present, the prevalence of diabetes is increasing because the human body cannot metabolize the glucose level. Accurate prediction of diabetes patients is an important research area. Many researchers have proposed ...
An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI

Kandasamy, Venkatachalam; Siuly, Siuly; Bacanin, Nebojsa; Hubálovský, Štěpán; Trojovský, Pavel (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021)

Brain tumors are a serious and death-defying disease for human life. Discovering an appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a challenging job for the radiologist. Most search engines ...
Evaluation of deepfake detection using YOLO with local binary pattern histogram

Hubálovský, Štěpán; Trojovský, Pavel; Bacanin, Nebojsa; Kandasamy, Venkatachalam (PeerJ Inc, 2022)

Recently, deepfake technology has become a popularly used technique for swapping faces in images or videos that create forged data to mislead society. Detecting the originality of the video is a critical process due to the ...
Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

Bacanin, Nebojsa; Zivkovic, Miodrag; Al-Turjman, Fadi; Kandasamy, Venkatachalam; Trojovský, Pavel; Strumberger, Ivana; Bezdan, Timea (NATURE RESEARCH, 2022)

Deep learning has recently been utilized with great success in a large number of diverse application domains, such as visual and face recognition, natural language processing, speech recognition, and handwriting identification. ...
Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks

Bacanin, Nebojsa; Jovanovic, Luka; Zivkovic, Miodrag; Kandasamy, Venkatachalam; Antonijevic, Milos; Deveci, Muhammet; Strumberger, Ivana (Elsevier, 2023)

Energy forecasting plays an important role in effective power grid management. The widespread adoption of emerging technologies and the increased reliance on renewable sources of energy have created a need for a robust and ...
Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients' health prediction

Bacanin, Nebojsa; Budimirovic, Nebojsa; Kandasamy, Venkatachalam; Strumberger, Ivana; Alrasheedi, Adel Fahad; Abouhawwash, Mohamed (Public library science, 2022)

The fast-growing quantity of information hinders the process of machine learning, making it computationally costly and with substandard results. Feature selection is a pre-processing method for obtaining the optimal subset ...
A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset

Bacanin, Nebojsa; Kandasamy, Venkatachalam; Bezdan, Timea; Zivkovic, Miodrag; Abouhawwash, Mohamed (ELSEVIER, 2023)

Feature selection is one of the most important challenges in machine learning and data science. This process is usually performed in the data preprocessing phase, where the data is transformed to a proper format for further ...
Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification

Zivkovic, Miodrag; Tair, Milan; Kandasamy, Venkatachalam; Bacanin, Nebojsa; Hubálovský, Štěpán; Trojovský, Pavel (PeerJ Inc, 2022)

The research proposed in this article presents a novel improved version of the widely adopted firefly algorithm and its application for tuning and optimising XGBoost classifier hyper-parameters for network intrusion ...
Quasi-reflection learning arithmetic optimization algorithm firefly search for feature selection

Bacanin, Nebojsa; Budimirovic, Nebojsa; Kandasamy, Venkatachalam; Jassim, Hothefa Shaker; Zivkovic, Miodrag; Askar, S. S; Abouhawwash, Mohamed (ELSEVIER SCI LTD, 2023)

With the whirlwind evolution of technology, the quantity of stored data within datasets is rapidly expanding. As a result, extracting crucial and relevant information from said datasets is a gruelling task. Feature selection ...
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme

Kandasamy, Venkatachalam; Trojovský, Pavel; Al Machot, Fadi; Kyamakya, Kyandoghere; Bacanin, Nebojsa; Askar, Sameh; Abouhawwash, Mohamed (MDPI, 2021)

The current population worldwide extensively uses social media to share thoughts, societal issues, and personal concerns. Social media can be viewed as an intelligent platform that can be augmented with a capability to ...
Text Document Clustering Approach by Improved Sine Cosine Algorithm

Radomirovic, Branislav; Jovanovic, Vuk; Nikolic, Bosko; Stojanovic, Sasa; Kandasamy, Venkatachalam; Zivkovic, Miodrag; Njegus, Angelina; Bacanin, Nebojsa; Strumberger, Ivana (KAUNAS UNIV TECHNOLOGY, 2023)

Due to the vast amounts of textual data available in various forms such as online content, social media comments, corporate data, public e-services and media data, text clustering has been experiencing rapid development. ...
Wall segmentation in 2D images using convolutional neural networks

Bjekic, Mihailo; Lazovic, Ana; Kandasamy, Venkatachalam; Bacanin, Nebojsa; Zivkovic, Miodrag; Kvascev, Goran; Nikolic, Bosko (PEERJ INC, 2023)

Wall segmentation is a special case of semantic segmentation, and the task is to classify each pixel into one of two classes: wall and no-wall. The segmentation model returns a mask showing where objects like windows and ...

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Listar por autor "Bacanin, Nebojsa"

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