Vol. 19 No. 4 (2023) | Applied Computer Science

ENHANCING THE EFFICIENCY OF THE LEVENSHTEIN DISTANCE BASED HEURISTIC METHOD OF ARRANGING 2D APICTORIAL ELEMENTS FOR INDUSTRIAL APPLICATIONS

Stanisław SKULIMOWSKI, Jerzy MONTUSIEWICZ, Marcin BADUROWICZ

DOI: https://doi.org/10.35784/acs-2023-31

1-13

Open full text

AUTOMATIC IDENTIFICATION OF DYSPHONIAS USING MACHINE LEARNING ALGORITHMS

Miguel Angel BELLO RIVERA, Carlos Alberto REYES GARCÍA, Tania Cristal TALAVERA ROJAS, Perfecto Malaquías QUINTERO FLORES, Rodolfo Eleazar PÉREZ LOAIZA

DOI: https://doi.org/10.35784/acs-2023-32

14-25

Open full text

PDF

COMPUTATIONAL ANALYSIS OF PEM FUEL CELL UNDER DIFFERENT OPERATING CONDITIONS

Tomasz SEDERYN, Małgorzata SKAWIŃSKA

DOI: https://doi.org/10.35784/acs-2023-33

26-38

Open full text

PDF

IMPROVING MATERIAL REQUIREMENTS PLANNING THROUGH WEB-BASED: A CASE STUDY THAILAND SMEs

Pornsiri KHUMLA, Kamthorn SARAWAN

DOI: https://doi.org/10.35784/acs-2023-34

39-50

Open full text

PDF

PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY

Sylwester KORGA, Kamil ŻYŁA, Jerzy JÓZWIK, Jarosław PYTKA, Kamil CYBUL

DOI: https://doi.org/10.35784/acs-2023-35

51-67

Open full text

PDF

IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS

Janani DEWMINI, W Madushan FERNANDO, Izabela Iwa NIELSEN, Grzegorz BOCEWICZ, Amila THIBBOTUWAWA, Zbigniew BANASZAK

DOI: https://doi.org/10.35784/acs-2023-36

68-87

Open full text

PDF

EFFICIENCY COMPARISON OF NETWORKS IN HANDWRITTEN LATIN CHARACTERS RECOGNITION WITH DIACRITICS

Edyta ŁUKASIK, Wiktor FLIS

DOI: https://doi.org/10.35784/acs-2023-37

88-102

Open full text

PDF

THE EFFECT OF INFORMATION TECHNOLOGY AND ENTREPRENEURSHIP ON THE E-SERVICES QUALITY THAT HAVE AN IMPACT ON CUSTOMER VALUE: EVIDENCE FROM INDONESIA SMEs

Ferra Arik TRIDALESTARI, Hanung Nindito PRASETYO

DOI: https://doi.org/10.35784/acs-2023-38

103-120

Open full text

PDF

IMPLICATIONS OF NEURAL NETWORK AS A DECISION-MAKING TOOL IN MANAGING KAZAKHSTAN’S AGRICULTURAL ECONOMY

Monika KULISZ, Aigerim DUISENBEKOVA, Justyna KUJAWSKA, Danira KALDYBAYEVA, Bibigul ISSAYEVA, Piotr LICHOGRAJ, Wojciech CEL

DOI: https://doi.org/10.35784/acs-2023-39

121-135

Open full text

PDF

COMPARISON OF SELECTED CLASSIFICATION METHODS BASED ON MACHINE LEARNING AS A DIAGNOSTIC TOOL FOR KNEE JOINT CARTILAGE DAMAGE BASED ON GENERATED VIBROACOUSTIC PROCESSES

Robert KARPIŃSKI, Przemysław KRAKOWSKI, Józef JONAK, Anna MACHROWSKA, Marcin MACIEJEWSKI

DOI: https://doi.org/10.35784/acs-2023-40

136-150

Open full text

PDF

Archives

Articles

ENHANCING THE EFFICIENCY OF THE LEVENSHTEIN DISTANCE BASED HEURISTIC METHOD OF ARRANGING 2D APICTORIAL ELEMENTS FOR INDUSTRIAL APPLICATIONS

AUTOMATIC IDENTIFICATION OF DYSPHONIAS USING MACHINE LEARNING ALGORITHMS

COMPUTATIONAL ANALYSIS OF PEM FUEL CELL UNDER DIFFERENT OPERATING CONDITIONS

IMPROVING MATERIAL REQUIREMENTS PLANNING THROUGH WEB-BASED: A CASE STUDY THAILAND SMEs

PREDICTIVE TOOLS AS PART OF DECISSION AIDING PROCESSES AT THE AIRPORT – THE CASE OF FACEBOOK PROPHET LIBRARY

IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS

EFFICIENCY COMPARISON OF NETWORKS IN HANDWRITTEN LATIN CHARACTERS RECOGNITION WITH DIACRITICS

THE EFFECT OF INFORMATION TECHNOLOGY AND ENTREPRENEURSHIP ON THE E-SERVICES QUALITY THAT HAVE AN IMPACT ON CUSTOMER VALUE: EVIDENCE FROM INDONESIA SMEs

IMPLICATIONS OF NEURAL NETWORK AS A DECISION-MAKING TOOL IN MANAGING KAZAKHSTAN’S AGRICULTURAL ECONOMY

COMPARISON OF SELECTED CLASSIFICATION METHODS BASED ON MACHINE LEARNING AS A DIAGNOSTIC TOOL FOR KNEE JOINT CARTILAGE DAMAGE BASED ON GENERATED VIBROACOUSTIC PROCESSES