Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Dzenana Donko"'
Autor:
Dzenana Donko
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 1, Iss 5, Pp 97-100 (2003)
This paper describes basic components and functions of the software system for support of the normatively regulated organizational activities. These activities are characterized by precise objective or purpose, participation of actors as roleholders,
Externí odkaz:
https://doaj.org/article/aca075f2162a471a930b89ab6318c40c
Publikováno v:
2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT).
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783030718459
ISM@FedCSIS
ISM@FedCSIS
The vehicle routing problem is one of the most difficult combinatorial optimization problems. Due to a large number of possibilities and practical limitations, there is no known algorithm that finds the optimal solution. Heuristics and metaheuristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b8e7f2d8c7b7087f9467064f6d2fa8
https://doi.org/10.1007/978-3-030-71846-6_6
https://doi.org/10.1007/978-3-030-71846-6_6
Publikováno v:
FedCSIS
Vehicle routing problem as the generalization of the Travelling Salesman Problem (TSP) is one of the most studied optimization problems. Industry itself pays special attention to this problem, since transportation is one of the most crucial segments
The Strategic Approach for Successful Realistic Improvements in Practical Vehicle Routing Algorithms
Autor:
Emir Zunic, Dzenana Donko
Publikováno v:
2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G).
Vehicle Routing Problem (VRP) is the process of set selection of the most convenient route in a network of roads vehicles are supposed to drive along when serving customers. Although vehicle problems solutions are being researched and improved in sci
Autor:
Haris Supic, Dzenana Donko
Publikováno v:
2020 IEEE Integrated STEM Education Conference (ISEC).
Identifying at-risk students is a crucial step in different learning settings. Predictive modeling technique can be used to create an early warning system which predicts students’ success in courses and informs both the teacher and the student of t
Publikováno v:
2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH).
The rapid development of financial markets results in data variability and unpredictability. Anomaly detection in financial data is a very important issue. Finding anomalies can result in error reduction and corrections in due time. The main aim of t
Publikováno v:
Complexity, Vol 2020 (2020)
Transportation occupies one-third of the amount in the logistics costs, and accordingly transportation systems largely influence the performance of the logistics system. This work presents an adaptive data-driven innovative modular approach for solvi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dc17c38edc1ae04cef6d3b09a3c9f1b
Publikováno v:
ICAT
The purpose of the credit scoring process is the classification of the loan as default or non-default trying to reduce the risk for financial institutions. Paper aims to illustrate the implementation of a credit scoring model using boosting technique
Publikováno v:
ICAT
The last decade was marked by rapid growth and development of technology. One example of that is the automotive industry. This industry has made an enormous progress, and its main goal is to achieve safer and better driving. The vehicle incorporates