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Wyszukujesz frazę "Świtalski, Piotr." wg kryterium: Autor


Wyświetlanie 1-7 z 7
Tytuł:
Dyplomacja kodu egzystencjalnego
Autorzy:
Świtalski, Piotr A.
Powiązania:
https://bibliotekanauki.pl/articles/506651.pdf
Data publikacji:
2011
Wydawca:
Krakowska Akademia im. Andrzeja Frycza Modrzewskiego
Źródło:
Krakowskie Studia Międzynarodowe; 2011, 1; 253-277
1733-2680
2451-0610
Pojawia się w:
Krakowskie Studia Międzynarodowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Firefly algorithm applied to the job-shop scheduling problem
Autorzy:
Świtalski, Piotr
Bolesta, Arkadiusz
Powiązania:
https://bibliotekanauki.pl/articles/2052416.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
scheduling
job shop
firefly algorithm
aitoa library
Opis:
The job shop scheduling problem (JSSP) is one of the most researched scheduling problems. This problem belongs to the NP-hard class. An optimal solution for this category of problems is rarely possible. We try to find suboptimal solutions using heuristics or metaheuristics. The firefly algorithm is a great example of a metaheuristic. In this paper, this algorithm is used to solve JSSP. We used some benchmarking JSSP datasets for experiments. The experimental program was implemented in the aitoa library. We investigated the optimal parameter settings of this algorithm in terms of JSSP. Analysis of the experimental results shows that the algorithm is useful to solve scheduling problems.
Źródło:
Studia Informatica : systems and information technology; 2021, 1-2(25); 87-100
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Learning Methods in E-mail Spam Classification
Autorzy:
Świtalski, Piotr
Kopówka, Mateusz
Powiązania:
https://bibliotekanauki.pl/articles/1819261.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
spam detecting
machine learning
classification methods
spam filters
malicious messages
Opis:
Increasing number of unwanted e-mails has influence on users’ security in the Internet. Today spam e-mails can store potential malicious messages which e.g. can redirect user to fake sites. These messages recently appeared in social media. Filtering of this content is important due to minimize financial and branding costs. Traditional methods of spam filtering cannot be sufficient for present threats. We required new methods for constructing more dependable and robust antispam filters. Machine learning recently becomes very popular technique in classification methods. It has been successfully used in spam classification. In this paper we present some methods of machine learning for spam detecting. We would also like to introduce ways to solve the spam classification problem. We show that these methods can be useful in classification of malicious messages. We also compared developed methods and presented results in the experimental section.
Źródło:
Studia Informatica : systems and information technology; 2019, 1-2(23); 57--76
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Szkoły studiów politycznych Rady Europy a krzewienie kultury demokratycznej w Europie Wschodniej
Autorzy:
Świtalski, Piotr A.
Powiązania:
https://bibliotekanauki.pl/articles/568542.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Adam Marszałek
Opis:
Europe is currently undergoing a deep crisis of values. In today’s circumstances, spreading basic democracy values, as well as presenting mature democratic culture is an important political task. An institution called for the purpose of supporting democracy development, human rights and lawful ruling in member states is the Council of Europe. One of its special activities is supporting young people’s contribution to public life, through creating schools of political studies. The first school of political sciences was created in Moscow in 1992, set up by a group of civil society activists in order to promote democracy values. Its success encouraged others to create such schools in other countries of Eastern and South-Eastern Europe. Currently, there are nineteen schools operating, including two outside Europe, in Morocco and Tunisia. Seven of them were founded in newly independent countries, formed after the Soviet Union fell. The dynamic growth of political studies schools created the need of having a network of them (Network of the Schools of Political Studies (NSPS)). The network helps to coordinate tasks, to exchange experience, as well as to strengthen the schools’ education programmes in connection with the Council of Europe. Schools’ positive input the promotion of the Council of Europe democracy standards enabled plans to gradually widen the network into other countries. Schools definitely need greater support from international - including European - institutions. Schools are in need of political and moral programme support. Schools’ further development demands are mainly financial stability. Countries formed in the Soviet Union’s ruins are still struggling, building the basis of democracy. Their admission to the Council of Europe did not change that fact. Many of them have not yet dealt with the communist past and old practices. That is why political schools’ activities are still so important. It is also about the change of generations, about creating staff, a group of people who through their active participation in public, economic or social life would inform society about the ideas and values of democracy, its norms and the role each citizen plays in it.
Źródło:
Nowa Polityka Wschodnia; 2013, 1(4); 84-98
2084-3291
Pojawia się w:
Nowa Polityka Wschodnia
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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