Vol. 21 No. 3 (2025) | Applied Computer Science

Taming complexity: Generative doppelgangers for stochastic data trends in complex industrial manufacturing systems

Richard NASSO TOUMBA, Maxime MOAMISSOAL SAMUEL, Achille EBOKE, Boniface ONDO, Timothée KOMBE

DOI: https://doi.org/10.35784/acs_7202

1-22

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Kidney disease diagnosis based on artificial intelligence/deep learning techniques

Abeer ALSHIHA, Abdalrahman QUBAA

DOI: https://doi.org/10.35784/acs_7241

23-37

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Pulmonary diseases identification: Deep learning models and ensemble learning

Patrycja KWAŚNIEWSKA, Grzegorz ZIELIŃSKI, Paweł POWROŹNIK, Maria SKUBLEWSKA-PASZKOWSKA

DOI: https://doi.org/10.35784/acs_8015

38-58

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A machine learning approach for evaluating drop impact reliability of solder joints in BGA packaging

Venkata Naga Chandana YANAMURTHY, Venu Kumar NATHI

DOI: https://doi.org/10.35784/acs_7340

59-71

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Prediction of remaining useful life and downtime of induction motors with supervised machine learning

Muhammad Dzulfiqar ANINDHITO, SUHARJITO

DOI: https://doi.org/10.35784/acs_7299

72-86

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An ensemble model for maternal health risk classification in Delta State, Nigeria

Oghenevabaire EFEVBERHA-OGODO, Francisca A. EGBOKHARE, Fidelis O. CHETE

DOI: https://doi.org/10.35784/acs_7313

87-98

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Transforming ERP interfaces in production environments: An empirical evaluation using the User Experience Questionnaire

Anna HAMERA

DOI: https://doi.org/10.35784/acs_7625

99-116

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Systematic drift characterization in differential wheeled robot using external VR tracking: Effects of route complexity and motion dynamics

Stanisław Piotr SKULIMOWSKI, Szymon RYBKA, Bartosz TATARA, Michał Dawid WELMAN

DOI: https://doi.org/10.35784/acs_8089

117-136

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Wireless body area networks: A review of challenges, architecture, applications, technologies and interference mitigation for next-generation healthcare

Akeel Abdulraheem THULNOON, Ahmed Mahdi JUBAIR, Foad Salem MUBAREK, Senan Ali ABD

DOI: https://doi.org/10.35784/acs_7355

137-161

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Fuzzy logic in arrhythmia detection: A systematic review of techniques, applications, and clinical interpretability

Nadjem Eddine MENACEUR, Sofia KOUAH, Derdour MEKHLOUF, Khaled OUANES, Meryam AMMI

DOI: https://doi.org/10.35784/acs_7657

162-181

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Enhancing interpretability in brain tumor detection: Leveraging Grad-CAM and SHAP for explainable AI in MRI-based cancer diagnosis

Nasr GHARAIBEH

DOI: https://doi.org/10.35784/acs_7375

182-197

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Noise source analysis of the nitrogen generation system

Grzegorz BARAŃSKI

DOI: https://doi.org/10.35784/acs_8041

198-209

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