Mehmet Aktaş

Dec 4, 2024 | mdpi.com | Mehmet Aktaş |Emrullah Gultekin

1. IntroductionThe increasing complexity and autonomy of predictive maintenance systems highlight a critical gap in the current landscape: the absence of robust provenance mechanisms to ensure transparency, accountability, and explainability. As these systems are designed to prevent equipment failures by predicting potential issues before they occur, they inherently rely on complex algorithms, often driven by machine learning.

Jan 1, 2024 | jacc.org | Ido Goldenberg |Mehmet Aktaş |Wojciech Zareba |David Huang

References1. "Cardiac resynchronization therapy reduces ventricular arrhythmias in primary but not secondary prophylactic implantable cardioverter defibrillator patients: insight from the Resynchronization in Ambulatory Heart Failure Trial". Circ Arrhythm Electrophysiol . 2017;10:3: e004875. 2. "Cardiac-resynchronization therapy for the prevention of heart-failure events". N Engl J Med . 2009;361:1329-1338. 3. "Cardiac-resynchronization therapy for mild-to-moderate heart failure". N Engl J Med .

Nov 28, 2023 | mdpi.com | Mehmet Aktaş |Eren Duman |Ezgi Yahsi

1. IntroductionThere is a need for decision support software that can predict the likelihood of a loan being repaid based on a customer’s behavioral data. Credit risk management is a crucial concern for any organization, regardless of the circumstances, but it holds particular significance within the banking sector. This reality becomes even more apparent during periods of financial turmoil, as financial institutions face the potential of significant losses stemming from unpaid debts [1].

Nov 14, 2023 | mdpi.com | Mehmet Aktaş |Zafer Duzen |Mirela Riveni

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