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Menampilkan 1–5 dari 5 artikel
Integrating Quantum, Deep, and Classic Features with Attention-Guided AdaBoost for Medical Risk Prediction
Kusuma, Muh Galuh Surya Putra
; Setiadi, De Rosal Ignatius Moses
; Herowati, Wise
; Sutojo, T.
; Adi, Prajanto Wahyu
; Dutta, Pushan Kumar
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, dee...
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Wederrechtelijk Study on the Treatment of Cadavers in the World of Medical Education
International Journal of Law, Crime and Justice
Vol 2
, No 3
(2025)
The practice of anatomical corpse (cadaver) surgery in medical education has an important value to improve the understanding and skills of medical students related to the anatomy of the human body. However, uncivilized acts of the corpse in this practice can raise legal and ethical issues. This study aims to analyze whether the practice is in accordance with the principles of law, ethics, and respect for the corpse, as well as how the act of treating the corpse uncivilized can be categorized as...
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A Quantum Circuit Learning-based Investigation: A Case Study in Iris Benchmark Dataset Binary Classification
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in pe...
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Pengaruh Good Corporate Governance (GCG) dan Corporate Social Responsibility (CSR) terhadap Nilai Perusahaan
Jurnal Inovasi Ekonomi Syariah dan Akuntansi
Vol 1
, No 4
(2024)
This study aims to re-examine the information that has existed in previous studies by proving that Good Corporate Governance and Corporate Social Responsibility have a significant influence on firm value. In this study using Systematic Literature Review (SLR) with a total of 41 previous journals have been taken from several websites such as Google Scholar, Semantic Scholar, Garuda Rujukan Digital, and Connected Papers. The number of previous journal publications on GCG and CSR is still fluctuati...
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International Maritime Law Strategy in Maritime Boundary Disputes Using Negotiation and Mediation : Analysis of Island Cases Sipadan and Ligitan
International Journal of Law, Crime and Justice
Vol 1
, No 2
(2024)
This article discusses the importance of reaching mutually beneficial solutions in international conflicts, focusing on negotiation and mediation as key elements. Negotiation allows both parties to resolve each other's differences, while mediation facilitates dialogue and promotes compromise. This research uses normative legal research methods with a statutory approach and case approach to analyze relevant laws and regulations related to the Indonesia-Malaysia maritime boundary, using the techni...
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