Prohlížení dle autora "Bacanin, Nebojsa"

Seřadit dle:Řazení:Výsledky:

  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

Prohledat DSpace

Procházet

Můj účet