A5091471039- Vehicle Routing Optimization Methods
- Metaheuristic Optimization Algorithms Research
- Migraine and Headache Studies
- Multi-Criteria Decision Making
- Advanced Manufacturing and Logistics Optimization
- Fault Detection and Control Systems
- Scheduling and Optimization Algorithms
- Scheduling and Timetabling Solutions
- Artificial Intelligence in Healthcare
- Urban and Freight Transport Logistics
- Optimization and Mathematical Programming
- Optimization and Packing Problems
- AI-based Problem Solving and Planning
- Anomaly Detection Techniques and Applications
- Multilevel Inverters and Converters
- Silicon Carbide Semiconductor Technologies
- Advanced Chemical Sensor Technologies
- Supply Chain and Inventory Management
- Maritime Ports and Logistics
- Artificial Immune Systems Applications
- Transportation and Mobility Innovations
- Outsourcing and Supply Chain Management
- Neurological Disorders and Treatments
- Big Data and Business Intelligence
- Digital Transformation in Industry
University of Novi Sad
2015-2024
Universitat de Miguel Hernández d'Elx
2023
Ophthalmology Clinic
2011
Foundation for Physical Medicine and Rehabilitation
2011
Max Planck Society
2000
In the construction of an X-ray-selected sample galaxy clusters for cosmological studies, we have assembled a 495 X-ray sources found to show extended emission in first processing ROSAT All-Sky Survey. The covers celestial region with declination δ ≥ 0° and Galactic latitude |bII| 20° comprises count rate ≥0.06 counts s-1 source extent likelihood L 7. optical follow-up identification program find 378 (76%) these be galaxies.
Deep Learning (DL), a groundbreaking branch of Machine (ML), has emerged as driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted complex non-linear artificial neural systems, excel at extracting high-level features from data. demonstrated human-level performance real-world tasks, including clinical diagnostics, unlocked solutions to previously intractable problems virtual agent design, robotics, genomics, neuroimaging, computer vision, industrial...
The purpose of this paper is to investigate empirically and identify the factors that affect adoption e-business in enterprise resource planning (ERP) enabled firms non-ERP-enabled firms. To assess determinants influence study develops a research model based on innovation organizational characteristics from diffusion (DOI) theory environmental context technology-organization-environment (TOE) framework. A questionnaire-based survey was conducted five developing countries Western Balkan,...
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...
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 A large part of technological advances, especially in the field industry, have been focused on optimization productive processes. However, detection anomalies has turned out to be a great challenge fields like medicine or stock markets. The present work addresses anomaly control level plant. We propose application different intelligent techniques, which allow obtain one-class classifiers using real data taken from correct plant operation. performance each classifier is assessed and...
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...
Abstract A dimensional reduction algorithm is applied to an intelligent classification model with the purpose of improving efficiency and accuracy. The proposed model, used distinguish operating mode: Hard- Soft-Switching, presented analysis synchronized rectified step-down converter done. With aim accuracy reducing computational cost three different methods for are input dataset model: self-organizing maps, principal component correlation matrix. obtained results show how number variable...
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...
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...