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90 results for machine learning

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  1. Journal Article Full text

    Differentiable programming in machine learning

    Kostić Marija A.; Drašković Dražen D.

    Tehnika, Vol. 78 No. 6 · 2023 · Serbian · DOAJ

    …implementation methods. In the context of issues encountered in machine learning and deep learning, the forward mode is deemed more suitable as it efficiently differentiates functions with numerous inputs compared to outputs. Given Python's pivotal role in the ML landscape, the paper elaborates on…

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  2. Journal Article Full text

    Predicting the number of tourists using machine learning

    Petrović Đorđe; Ćebić Branko; Beljić Dejan

    Turističko Poslovanje, Vol. 2021 No. 27 · 2021 · Serbian · DOAJ

    This paper provides an overview of current models of machine learning from time series and their application for the purpose of predicting the number of tourist visits in the coming period. The emergence of the Covid-19 virus has generally had a major impact on Tourism and has introduced great…

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  3. Journal Article

    Application of machine learning in corrosion inhibition study

    Thankappan Sasilatha; Susai Rajendran; Senthil Kumaran Selvaraj et al.

    Zaštita Materijala, Vol. 63 No. 3 · 2022 · Serbian · DOAJ Scopus

    Artificial intelligence is a branch of science concerned with teaching machines to think and act like humans. Machine learning is concerned with enabling computers to perform tasks without the need for explicit programming. Machine Learning enables computers to learn without the need for explicit…

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Perpustakaan Kampus · 13 print titlesShow all
  1. Journal Article

    Predicting Elementary School GPA Using Machine Learning Approaches

    Ivana Isailović; Isidora Gatarić; Ilija Milovanović

    Primenjena Psihologija, Vol. 19 No. 1 · 2026 · Serbian · DOAJ Scopus

    …the true structure of influential predictors. In contrast, advanced machine learning (ML) methods, such as decision trees, random forest, and gradient boosting, can model such complexity, offering greater accuracy and deeper insight into predictor importance. This study applied these ML algorithms…

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  2. Journal Article Full text

    Review of machine learning algorithms' application in pharmaceutical technology

    Đuriš Jelena; Kurćubić Ivana; Ibrić Svetlana

    Arhiv za farmaciju, Vol. 71 No. 4 · 2021 · Serbian · DOAJ Dropped by Scopus 2023

    Machine learning algorithms, and artificial intelligence in general, have a wide range of applications in the field of pharmaceutical technology. Starting from the formulation development, through a great potential for integration within the Quality by design framework, these data science tools…

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  3. Journal Article Full text

    Complex problem-solving in enterprises with machine learning solutions

    Đorđević Luka; Novaković Borivoj; Đurđev Mića et al.

    Journal of Engineering Management and Competitiveness, Vol. 14 No. 1 · 2024 · Serbian · DOAJ

    This paper explores the application of machine learning (ML) in solving complex problems within enterprises across various industries. By leveraging ML, businesses can enhance operational efficiency, customer experience, and risk management. The study reviews existing literature to develop a…

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  4. Journal Article Full text

    Predictive modeling of critical headway based on machine learning techniques

    Radović Dunja M.; Stojčić Mirko D.

    Tehnika, Vol. 77 No. 3 · 2022 · Serbian · DOAJ

    …and maximum rejected headways, several predictive models based on machine learning techniques were trained and tested. Therefore, the main goal of the research is to create a model for the prediction (classification) of the critical headway, which as inputs, i.e. independent variables use pairs -…

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  5. Journal Article Full text

    Assessment of the driver's driving style using supervised machine learning

    Janković Slađana R.; Vujanović Davor B.; Zdravković Stefan S. et al.

    Tehnika, Vol. 77 No. 2 · 2022 · Serbian · DOAJ

    Supervised machine learning can be an effective method of predicting a target variable, depending on current values of independent attributes, if historical data containing values of independent attributes and target variables in the past is available and if some machine learning algorithm gives…

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  6. Journal Article Full text

    APPLICATION OF MACHINE LEARNING TO GNSS DATA COLLECTED BY SMARTPHONE

    Nedim Kulo; Vinko Ružević

    Geodetski Glasnik, Iss 53, Pp 5-23 (2022) · 2022 · Serbian · DOAJ

    …this experimental research appeared. That idea is applying the process of machine learning, more precisely, the implementation of a neural network, to investigate the possibility of improving the accuracy of smartphone navigation. The achieved results indicate that machine learning algorithms…

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  7. Journal Article Full text

    Optimised feature selection and cervical cancer prediction using Machine learning classification

    Tak Amit; Parihar Puran Mal; Singh Fatehpuriya Dharmendra et al.

    Scripta Medica, Vol. 53 No. 3 · 2022 · Serbian · DOAJ

    …of various diagnostic tests used to diagnose cervical cancer using machine learning algorithms. Methods: The present study ran various cervical cancer risk factors on a machine learning (ML) classifier to predict outcomes of Hinselmann, Schiller, cytology and biopsy. The dataset is publicly…

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  8. Journal Article Full text

    Application of machine learning methods in the classification of satellite images

    Čurlin Martina T.; Drobnjak Siniša M.; Potić Ivan M. et al.

    Tehnika, Vol. 79 No. 2 · 2024 · Serbian · DOAJ

    Machine learning, as a specific domain within artificial intelligence, opens new horizons for both theoretical and experimental research in remote sensing, particularly in satellite imagery classification. This study focuses on applying machine learning methods, specifically decision trees and…

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  9. Journal Article Full text

    Example of modeling SO2 blower vibrations using the machine learning method

    Pavlov-Kagadejev Marijana; Radivojević Milan; Stolić Predrag

    Bakar, Vol. 49 No. 1 · 2024 · Serbian · DOAJ

    This paper describes an example of applying the machine learning to predict the SO2 blower vibrations. The SVR (Support Vector Regression) algorithm was used to form the model. The paper includes an overview of machine learning and mathematical fundamentals of the SVM model. Based on a large amount…

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  10. Journal Article Full text

    Machine learning of radial basis function neural network based on Kalman filter: Introduction

    Vuković Najdan L.; Miljković Zoran Đ.

    Tehnika, Vol. 69 No. 4 · 2014 · Serbian · DOAJ

    This paper analyzes machine learning of radial basis function neural network based on Kalman filtering. Three algorithms are derived: linearized Kalman filter, linearized information filter and unscented Kalman filter. We emphasize basic properties of these estimation algorithms, demonstrate how…

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  11. Journal Article Full text

    Trends in the appllinaction of machine learning algorithms for predicting software project success

    Petrović Katarina D.; Mitrović Zorica M.; Petrović Dejan Č.

    Tehnika, Vol. 79 No. 5 · 2024 · Serbian · DOAJ

    …commonly examined project success criteria are identified, as well as machine learning algorithms applied for the purposes of predicting the success of software projects.

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  12. Journal Article Full text

    Temperature effects on luminescent properties of Sr2CeO4:Eu3+ nanophosphor: A machine learning approach

    Šević Dragutin; Vlašić Ana; Rabasović Maja S. et al.

    Tehnika, Vol. 75 No. 3 · 2020 · Serbian · DOAJ

    In this paper we analyze possibilities of application of Sr2CeO4:Eu3+ nanopowder for temperature sensing using machine learning. The material was prepared by simple solution combustion synthesis. Photoluminescence technique has been used to measure the optical emission temperature dependence of the…

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  13. Journal Article Full text

    Machine learning of radial basis function neural network based on Kalman filter: Implementation

    Vuković Najdan L.; Miljković Zoran Đ.

    Tehnika, Vol. 69 No. 4 · 2014 · Serbian · DOAJ

    In this paper we test three new sequential machine learning algorithms for radial basis function (RBF) neural network based on Kalman filter theory. Three new algorithms are derived: linearized Kalman filter, linearized information filter and unscented Kalman filter. Having introduced and derived…

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  14. Journal Article Full text

    Applying the machine learning method in predicting business winners vs. losers through financial reports

    Stanojević Slobodan; Đorđević Nenad; Volf Dejan

    Oditor, Vol. 3 No. 1 · 2017 · Serbian · DOAJ

    …fashion business losers or winners by applying artificial intelligence or machine learning (Data Mining). Quantitative analysis by way of machine learning is applied on balance sheets and income statements, more accurately from a representative sample of about 600 companies which are analyzed with…

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  15. Journal Article Full text

    Machine learning modelling of wet granulation scale-up using compressibility, compactibility and manufacturability parameters

    Millen Nada; Kovačević Aleksandar; Khera Lalit et al.

    Hemijska Industrija, Vol. 73 No. 3 · 2019 · Serbian · DOAJ Scopus

    The purpose of this extensive study is to use a quality by design (QbD) approach and multiple machine learning algorithms in facilitating wet granulation process scale-up. This study investigated the extent of influence of both formulation and process variables. Furthermore, measured responses…

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  16. Journal Article

    Role of artificial intelligence (AI) and machine learning (ML) in the corrosion monitoring processes

    Rajasekaran Saminathan; Abdulla Yahya Ali Nashali; Abdulrahman Ahmed Ali Haqawi et al.

    Zaštita Materijala, Vol. 65 No. 3 · 2024 · Serbian · DOAJ Scopus

    …methods make use of the application of concepts connected with machine learning and artificial intelligence in order to efficiently monitor and identify corrosion related damages. As a consequence of this, the monitoring system is able to provide the control of the industrial structures with…

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  17. Journal Article Full text

    Prediction of cervical lymph node metastasis in papillary thyroid carcinoma using a machine learning approach

    Popović-Krneta Marina; Šobić-Šaranović Dragana; Mijatović-Teodorović Ljiljana

    Medicinski Podmladak, Vol. 74 No. 6 · 2023 · Serbian · DOAJ

    …patients. Among prediction models, special attention has been drawn to machine learning models that can predict disease outcomes with improved accuracy and enable individualized selection of optimal treatment for each patient. Therefore, this mini-review primarily focuses on explaining the…

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