- Migraine and Headache Studies
- Vehicle Routing Optimization Methods
- Metaheuristic Optimization Algorithms Research
- Multi-Criteria Decision Making
- Anomaly Detection Techniques and Applications
- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
- Trigeminal Neuralgia and Treatments
- Scheduling and Timetabling Solutions
- Optimization and Mathematical Programming
- Time Series Analysis and Forecasting
- Artificial Intelligence in Healthcare
- Neurological Disorders and Treatments
- Parkinson's Disease Mechanisms and Treatments
- Optimization and Packing Problems
- Fault Detection and Control Systems
- Palliative Care and End-of-Life Issues
- Supply Chain and Inventory Management
- Advanced Chemical Sensor Technologies
- Complex Systems and Time Series Analysis
- Parkinson's Disease and Spinal Disorders
- Neural Networks and Applications
- Musculoskeletal pain and rehabilitation
- AI-based Problem Solving and Planning
- Evolutionary Algorithms and Applications
University of Novi Sad
2015-2024
Klinički centar Vojvodine
2008-2023
Institute of Public Health of Vojvodina
2008
Abstract Primary headaches are common disease of the modern society and it has high negative impact on productivity life quality affected person. Unfortunately, precise diagnosis headache type is hard usually imprecise, thus methods still focus intense research. The paper introduces problem primary presents its current taxonomy. considered simplified into three class classification task which solved using advanced machine learning techniques. Experiments, carried out large dataset collected...
Abstract The travelling salesman problem (TSP) belongs to the class of NP-hard problems, in which an optimal solution cannot be obtained within a reasonable computational time for large-sized problems. To address TSP, we propose hybrid algorithm, called GA-TCTIA-LBSA, genetic algorithm (GA), tour construction and improvement algorithms (TCTIAs) list-based simulated annealing (LBSA) are used. TCTIAs introduced generate first population, after that, search is continued with GA. premature...
Atypical work schedules cause reduced sleep, leading to drowsiness, fatigue, decline of cognitive performance and health problems among the members nursing staff. The study was aimed at reviewing current knowledge attitudes concerning impact sleep disorders on functions Sleep Interpersonal Relations in Modern Society. modern 24-hour society involves more employees (health services, police departments, public transport) non-standard forms work. In European Union countries, over 50% staff...
Background: Headaches have not only medical but also great socioeconomic significance, therefore, it is necessary to evaluate the overall impact of headaches on a patient’s life, including their work and efficiency. The aim this study was determine individual headache types Methods: This research designed as cross-sectional performed by administering questionnaire among employees. consisted general questions, questions about features, work. Results: Monthly absence from mostly represented...
Inventory management deals with a tradeoff between the benefits of keeping stocks goods that allows fulfillment customer’s demand, and cost carrying inventory. control techniques are very important components most organizations can substantially reduce their costs associated flow materials. This paper presents new inventory model based on particle swarm optimization pure adaptive search global algorithm in production-inventory system. The proposed is focusing planned level demand for...
(1) Background: Modern medicine generates a great deal of information that stored in medical databases. Simultaneously, extracting useful knowledge and making scientific decisions for diagnosis treatment diseases becomes increasingly necessary. Headache disorders are the most prevalent all neurological conditions. Headaches have not only but also socioeconomic significance. The aim this research is to develop an intelligent system diagnosing primary headache disorders. (2) Methods: This...
The prediction of corporate financial failure, crucial for the prevention and mitigation economic downturns in a national economy, requires categorization healthy unhealthy companies. This study examines case Serbia applies multivariant statistical methods specific artificial neural network architectures—the self-organizing map (SOM)—to assess health various Financial ratios drawn from balance sheets become independent variables multivariate discriminant analysis (MDA). These Z-score MDA...
Abstract Clustering is one of the most fundamental and essential data analysis tasks with broad applications. It has been studied in various research fields: mining, machine learning, pattern recognition engineering, economics biomedical analysis. Headache not a disease that typically shortens one’s life, but it can be serious social as well health problem. Approximately 27 billion euros per year are lost through reduced work productivity European community. This paper focused on new...
To investigate the association of cornual-fundal location placenta and breech presentation at term delivery.This study was conducted Department Obstetrics Gynecology, Novi Sad, in 2011. The inclusion criteria were delivery ≥37 weeks gestation, singleton determined by ultrasonography gestation when 3/4 or more region.Out 2750 ultrasound examinations performed, 143 showed (frequency 5.2%). Eighty six cases had cephalic (60.14%) 57 (39.86%) presentation. Of remaining with non- location, 2585 22...
Abstract Closed-loop administration of propofol for the control hypnosis in anesthesia has evidenced an outperformance when comparing it with manual terms drug consumption and post-operative recovery patients. Unlike other systems, success this strategy lies on availability a feedback variable capable quantifying current hypnotic state patient. However, appearance anomalies during anesthetic process may result inaccurate actions automatic controller. These come from monitors, syringe pumps,...
Abstract The skin, uniquely positioned at the interface between human body and external world, plays a multifaceted immunologic role in life. In medical practice, early accurate detection of all types skin tumours is essential to guide appropriate management improve patients’ survival. most important issue differentiate malignant benign lesions. aim this research classification by analysing tumour dermoscopy images. This paper focused on new strategy based deep convolutional neural networks...
Abstract Facility location decisions are critical in strategic planning for a wide range of operational and logistical decisions. problem with focus on logistics distribution centre (LDC) Balkan Peninsula (BP) is discussed this article. Methodological hybrid genetic algorithm, Analytical Hierarchy Process, fuzzy c-means method proposed here it shown how such model can be assistance analysing multi criteria decision-making problem. This research represents continuation three existing studies....
Abstract Material flow management refers to the analysis and specific optimization of inventory‐production system. can be characterized as organized material in a production process with required sequence determined by technological procedure. The Milk run system assures transportation materials at right time an optimal manner. It should combined Kanban highlight when something is process. This paper presents biological swarm intelligence, general, particular model, particle (PSO), for...
Abstract Headache disorders can be considered as the predominant neurological condition. In field of diseases, migraine was estimated to cost a total €27 billion per year for loss through reduced work productivity in European Community. Medical data and information turn provide knowledge based on which physicians make scientific decisions diagnosis treatments. It is, therefore, very useful create diagnostic tools help better decisions. This paper is focused new hybrid clustering system...