Vol. 29 (2023) | Journal of Computer Sciences Institute

Performance analysis of web applications created in the Spring and Laravel frameworks

Jakub Suchanowski, Małgorzata Plechawska-Wójcik

DOI: https://doi.org/10.35784/jcsi.3770

304-311

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Comparative Analysis of Selected Game Engines

Bartłomiej Szabat, Małgorzata Plechawska-Wójcik

DOI: https://doi.org/10.35784/jcsi.3771

312-316

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Video game performance analysis on selected operating systems

Agata Wrześniewska, Maria Skublewska-Paszkowska

DOI: https://doi.org/10.35784/jcsi.3772

317-324

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Analysis of the ergonomics of interfaces of popular e-marketing tools

Weronika Studzińska

DOI: https://doi.org/10.35784/jcsi.3777

325-332

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Research on User Experience during Interactions with Mobile Applications for Diabetics

Przemysław Bajda, Rafał Baliński, Mariusz Dzieńkowski

DOI: https://doi.org/10.35784/jcsi.3779

333-340

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Performance analysis of React v. 18.1.0 and Angular v. 11.0.2 development frameworks
Analiza wydajności szkieletów programistycznych React v. 18.1.0 i Angular v. 11.0.2

Albert Poniedziałek, Beata Pańczyk

DOI: https://doi.org/10.35784/jcsi.3782

341-345

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A comparative analysis of the Flutter and React Native frameworks

Mateusz Markowski, Jakub Smołka

DOI: https://doi.org/10.35784/jcsi.3794

346-351

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Performance analysis of REST API technologies using Spring and Express.js examples

Maciej Wicha, Beata Pańczyk

DOI: https://doi.org/10.35784/jcsi.3796

352-359

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A performance analysis of a cloud database on mobile devices

Sylwester Kot, Jakub Smołka

DOI: https://doi.org/10.35784/jcsi.3798

360-365

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Face Recognition using Deep Learning and TensorFlow framework

Makrem Beldi

DOI: https://doi.org/10.35784/jcsi.3802

366-373

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Comparison of tools for creating and conducting automated tests

Grzegorz Wojciech Bielesza, Mariusz Dzieńkowski

DOI: https://doi.org/10.35784/jcsi.3804

374-382

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Comparison of application container orchestration platforms

Adam Pankowski, Paweł Powroźnik

DOI: https://doi.org/10.35784/jcsi.3823

383-390

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A study of the user experience while working with mobile applications cooperating with sports bands

Szymon Czopek, Mariusz Dzieńkowski

DOI: https://doi.org/10.35784/jcsi.4428

391-398

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Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction

Mohammad Reza Faisal, Muhammad Thoriq Hidayat, Dwi Kartini, Fatma Indriani, Irwan Budiman, Triando Hamonangan Saragih

DOI: https://doi.org/10.35784/jcsi.4447

399-404

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Comparative analysis of package managers Flatpak and Snap used for open-source software distribution

Grzegorz Jan Cichocki, Sławomir Wojciech Przyłucki

DOI: https://doi.org/10.35784/jcsi.4587

405-412

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Analysis of the impact of using containerization techniques on application performance in Python

Kacper Chołody, Sławomir Przyłucki

DOI: https://doi.org/10.35784/jcsi.4589

413-420

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Archives

Articles

Performance analysis of web applications created in the Spring and Laravel frameworks

Comparative Analysis of Selected Game Engines

Video game performance analysis on selected operating systems

Analysis of the ergonomics of interfaces of popular e-marketing tools

Research on User Experience during Interactions with Mobile Applications for Diabetics

Performance analysis of React v. 18.1.0 and Angular v. 11.0.2 development frameworks
Analiza wydajności szkieletów programistycznych React v. 18.1.0 i Angular v. 11.0.2

A comparative analysis of the Flutter and React Native frameworks

Performance analysis of REST API technologies using Spring and Express.js examples

A performance analysis of a cloud database on mobile devices

Face Recognition using Deep Learning and TensorFlow framework

Comparison of tools for creating and conducting automated tests

Comparison of application container orchestration platforms

A study of the user experience while working with mobile applications cooperating with sports bands

Comparison of Machine Learning Algorithms on Classification of Covid-19 Cough Sounds Using MFCC Extraction

Comparative analysis of package managers Flatpak and Snap used for open-source software distribution

Analysis of the impact of using containerization techniques on application performance in Python