Vol. 20 No. 2 (2024) | Applied Computer Science

FEW-SHOT LEARNING WITH PRE-TRAINED LAYERS INTEGRATION APPLIED TO HAND GESTURE RECOGNITION FOR DISABLED PEOPLE

Mohamed ELBAHRI, Nasreddine TALEB, Sid Ahmed El Mehdi ARDJOUN, Chakib Mustapha Anouar ZOUAOUI

DOI: https://doi.org/10.35784/acs-2024-13

1-23

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DIGITAL NEWS CLASSIFICATION AND PUNCTUACTION USING MACHINE LEARNING AND TEXT MINING TECHNIQUES

Fernando Andrés CEVALLOS SALAS

DOI: https://doi.org/10.35784/acs-2024-14

24-42

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MODELING THE OPTIMAL MEASUREMENT TIME WITH A PROBE ON THE MACHINE TOOL USING MACHINE LEARNING METHODS

Jerzy JÓZWIK, Magdalena ZAWADA-MICHAŁOWSKA, Monika KULISZ, Paweł TOMIŁO, Marcin BARSZCZ, Paweł PIEŚKO, Michał LELEŃ, Kamil CYBUL

DOI: https://doi.org/10.35784/acs-2024-15

43-59

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EXAMINATION OF SUMMARIZED MEDICAL RECORDS FOR ICD CODE CLASSIFICATION VIA BERT

Dilek AYDOGAN-KILIC, Deniz Kenan KILIC, Izabela Ewa NIELSEN

DOI: https://doi.org/10.35784/acs-2024-16

60-74

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THE UTILIZATION OF 6G IN INDUSTRY 4.0

Hanan M. SHUKUR, Shavan ASKAR, Subhi R.M. ZEEBAREE

DOI: https://doi.org/10.35784/acs-2024-17

75-89

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APPLICATION OF EEMD-DFA ALGORITHMS AND ANN CLASSIFICATION FOR DETECTION OF KNEE OSTEOARTHRITIS USING VIBROARTHROGRAPHY

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

DOI: https://doi.org/10.35784/acs-2024-18

90-108

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PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS

Boutkhil SIDAOUI

DOI: https://doi.org/10.35784/acs-2024-19

109-125

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IMPROVING E-LEARNING BY FACIAL EXPRESSION ANALYSIS

Amina KINANE DAOUADJI, Fatima BENDELLA

DOI: https://doi.org/10.35784/acs-2024-20

126-137

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EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HUMANROBOT COOPERATION IN THE CONTEXT OF INDUSTRY 4.0

Hawkar ASAAD, Shavan ASKAR, Ahmed KAKAMIN, Nayla FAIQ

DOI: https://doi.org/10.35784/acs-2024-21

138-156

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AN AUTHENTICATION METHOD BASED ON A DIOPHANTINE MODEL OF THE COIN BAG PROBLEM

Krzysztof NIEMIEC, Grzegorz BOCEWICZ

DOI: https://doi.org/10.35784/acs-2024-22

157-174

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PREDICTION OF PATIENT’S WILLINGNESS FOR TREATMENT OF MENTAL ILLNESS USING MACHINE LEARNING APPROACHES

Mohammed Chachan YOUNIS

DOI: https://doi.org/10.35784/acs-2024-23

175-193

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AUTOMATION OF POLYCYSTIC OVARY SYNDROME DIAGNOSTICS THROUGH MACHINE LEARNING ALGORITHMS IN ULTRASOUND IMAGING

Roman GALAGAN, Serhiy ANDREIEV, Nataliia STELMAKH; Yaroslava RAFALSKA; Andrii MOMOT

DOI: https://doi.org/10.35784/acs-2024-24

194-204

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