Aleksandar Novaković

Queen's University Belfast

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A.H. Marshall

Queen's University Belfast

Carolyn McGregor

University of Ontario Institute of Technology

Dimitrios S. Nikolopoulos

Virginia Tech

Murali Shyamsundar

Siddhartha Medical College

Milena Pešić

Emily Courcier

Department of Agriculture and Rural Development

Kosta Jovanović

University of Belgrade

Arso M. Vukićević

University of Kragujevac

Marina S. Janjić

University of Nis

Violeta Stojičić

University of Nis

Cooperative Institutions

University of Nis

Queen's University Belfast

University of Belgrade

University of Ontario Institute of Technology

University of Kragujevac

Belfast Health and Social Care Trust

Northern Ireland Ambulance Service Health and Social Care Trust

Stevens Institute of Technology

École Polytechnique Fédérale de Lausanne

Universidade do Porto

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MULTIKULTURALIZAM I INDIVIDUALNA PRAVA – Nekoliko zabeležaka povodom Kimlikinog tretiranja faza multikulturalizma

Srpska politička misao (2010)

Aleksandar Novaković Milena Pešić

Ovaj rad bavi se načelnim problematizovanjem trenutne pozicije multikulturalizma kao političke i filozofske teorije. Naime, kroz preispitivanje triju faza debate kroz koje je prošao multikulturalizam, po viđenju jednog od njegovih najeminentnijih zagovornika, Vila Kimlike, u radu se pokazuje da je prelaz iz prve, čisto komunitarno orijentisane faze multikulturalizma u drugu, liberalno orijentisanu fazu, teorijski neopravdan […]

AKA

10.22182/spm.2712010.6

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Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques

Scientific Reports (2025)

Arso M. Vukićević Miloš Petrović Nebojša Jurišević Marko Djapan N. Knezevic

The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting. Such a pipeline brings two key advantages that make it more applicable in industry practice by: 1) eliminating the necessity for developing dedicated waste detection and segmentation algorithms for waste object localization, and 2) significantly reducing the time and costs required for adapting the solution to different use cases. With the proposed procedure, switching to a new waste type sorting is reduced to only two steps: The use of SAM for the automatic object extraction, followed by their separation into corresponding classes used to fine-tune the classifier. Validation on four use cases (floating waste, municipal waste, e-waste, and smart bins) shows robust results, with accuracy ranging from 86 to 97% when using the MobileNetV2 with SAM and FastSAM architectures. The proposed approach has a high potential to facilitate deployment, increase productivity, lower expenses, and minimize errors in robotic waste sorting while enhancing overall recycling and material utilization in the manufacturing industry.

10.1038/s41598-025-87226-x

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Reviewing Non-intrusive Load Monitoring Using a Pilot Study of an IoT Device to Disaggregate Energy Usage

Lecture notes in networks and systems (2023)

Matthew McCrory A.H. Marshall Aleksandar Novaković Geoffrey Collins

10.1007/978-981-99-3236-8_23

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Optimizing the Belfast Bike Sharing Scheme

Lecture notes in networks and systems (2021)

Nadezda Demidova Aleksandar Novaković A.H. Marshall

Bike Sharing

Overcrowding

10.1007/978-3-030-82196-8_43

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Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models

A.H. Marshall Aleksandar Novaković

This paper introduces the real-time Healthcare 4.0 system, the VILIAlert system and a new approach that we propose for the robust assessment of it's performance. The VILIAlert system alerts clinicians when a patient's tidal volume value rises above the clinically accepted level of 8 ml/kg as beyond this point (> 8 ml/kg), a patient is considered high risk of permanent damage to their lungs. In order to ensure success with the VILIAlert system, the ideal scenario is to ensure that as soon as patients in the Intensive Care Unit experience tidal volume values beyond the 8 ml/kg level, a clinical intervention can be carried out so to minimise the risk of patients ever having permanent damage. The approach has been implemented in the Intensive Care Unit at the Royal Victoria Hospital Belfast, Northern Ireland demonstrating the potential for such an approach to be used across all hospitals in the region.

Healthcare system

10.1109/cbms.2019.00129

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French Revolution and Its Intellectual Legacy

Institute for political studies eBooks (2023)

Aleksandar Novaković

hat is nowadays seen as passionate appeals for new rights and freedoms exhibit a structural similarity with the progressive ideals of the French revolution.They reflect aspiration for "totalitarian democracy." 1 In contrast to liberal democracy, a proud child of 19 th century liberalism, totalitarian democracy presupposes reconciliation of social and individual freedom.It is the place where the paradox between freedom and desirable social order is to be resolved. 2 Conceptually, the totalitarian aspect of democracy is realized where all individual volitions transform into one, where there is no difference between the state and society.But there is an important

10.18485/ips_nend_frev.2023.ch1

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A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions

Artificial Intelligence Review (2024)

Arso M. Vukićević Miloš Petrović Pavle Milošević Aleksandar Peulić Kosta Jovanović

Abstract Computerized compliance of Personal Protective Equipment (PPE) is an emerging topic in academic literature that aims to enhance workplace safety through the automation of compliance and prevention of PPE misuse (which currently relies on manual employee supervision and reporting). Although trends in the scientific literature indicate a high potential for solving the compliance problem by employing computer vision (CV) techniques, the practice has revealed a series of barriers that limit their wider applications. This article aims to contribute to the advancement of CV-based PPE compliance by providing a comparative review of high-level approaches, algorithms, datasets, and technologies used in the literature. The systematic review highlights industry-specific challenges, environmental variations, and computational costs related to the real-time management of PPE compliance. The issues of employee identification and identity management are also discussed, along with ethical and cybersecurity concerns. Through the concept of CV-based PPE Compliance 4.0, which encapsulates PPE, human, and company spatio-temporal variabilities, this study provides guidelines for future research directions for addressing the identified barriers. The further advancements and adoption of CV-based solutions for PPE compliance will require simultaneously addressing human identification, pose estimation, object recognition and tracking, necessitating the development of corresponding public datasets.

Personal Protective Equipment

10.1007/s10462-024-10978-x

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TRANZICIJA, REFORME I PERCEPCIJE O REFORMAMA – poređenje srpske i tranzicije zemalja ICE

Srpska politička misao (2012)

Aleksandar Novaković

10.22182/spm.3512012.2

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On high school students' reading habits and teaching literature

Inovacije u nastavi (2020)

Snežana Božić Aleksandar Novaković

The introductory part of the paper discusses the changed reading habits of children and young people, conditioned by various factors - the development of modern technologies, the use of the Internet, constant reading of various content from numerous screens, changed thought patterns, "accelerated" time, etc. Such a context leaves little room for reading books and other printed publications, especially the so-called fine literature (fiction). For this reason, our research focus is on the attitude of high school students towards books and reading within the framework of teaching literature, and beyond, in the sphere of private life. The aim is to examine their reading habits and attitudes about books and reading in order to - by comparing the obtained data with the results of the similar research - determine the nature of the changes that have occurred in the meantime, and that new knowledge can be used to create serious, fact-based, methodological strategies for improving the current analyzed situation. The central part of the paper offers the presentation of the research conducted on a sample of 1177 students from 13 high schools in the area of the cities of Niš and Novi Pazar, conducted in late 2018 and early 2019. An anonymous questionnaire was used to collect and then interpret the data on students' family and school habits related to books and reading, their attitude towards school compulsory reading lists, libraries, e-books and online literature, as well as creativity and literature studies.

Presentation (obstetrics)

Sample (material)

10.5937/inovacije2003014b

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The functionality of interactive digital platforms in online teaching and learning

Nastava i vaspitanje (2021)

Aleksandar Novaković

This paper looks at the functionality of three interactive digital platforms for creating a virtual environment in online teaching and learning - Hangouts Meet, Zoom and Microsoft Teams. These platforms have started being widely used during the 2019-nCoV pandemic. On the basis of a review and comparison of their integrated functions and features, as well as of observations made in the course of their parallel use during the spring semester of 2019/20 at the Department of the Serbian language of the Faculty of Philosophy in Niš, the author has established that these platforms have the same general characteristics, while differences exist in the area of integrated functions that can be used by teachers and students. Taking into consideration this segment of the analysis, the author concludes that the interactive digital platforms Zoom and Microsoft Teams are better adapted to the implementation of online instruction than Google's Hangouts Meet, as they enable screen sharing and the following of textual communication, direct sharing of sound by means of a sound card, using a chosen photograph to create an appropriate learning environment, textual communication with one or more participants of the teaching/learning process, special formatting of text in messages, the exchange of teaching/learning materials in real time and for the duration of the call, conducting short surveys within the program, and the recording of each individual lesson. However, the paper also suggests ways of increasing the functionality of all analyzed platforms by using simple add-ons and online tools. By providing a detailed overview of all integrated functions, the paper discusses the methodological implications for their more effective use in online instruction.

Disk formatting

Virtual learning environment

10.5937/nasvas2101105n

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Citations (4)