640 citations
- University of PatrasGR15 papers
- Forschungszentrum JülichDE13 papers
- Fatih UniversityTR11 papers
- Consejo Superior de Investigaciones CientíficasES8 papers
- Charles UniversityCZ7 papers
- Institute of Mathematical SciencesIN7 papers
- Boğaziçi UniversityTR6 papers
- S.N. Bose National Centre for Basic SciencesIN5 papers
- Istanbul Technical UniversityTR4 papers
- Polytechnique MontréalCA4 papers
- Sakarya UniversityTR4 papers
- Düzce ÜniversitesiTR3 papers
137 papers
Finite-temperature bulk moduli from an EOS-based Grüneisen function
Çetin Kılıç
An equation-of-state (EOS)-based construction of the Grüneisen function is developed and assessed through predictions of finite-temperature bulk moduli. In this approach, the volum…
Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Emre Ardıç, Yakup Genç
Federated learning is a machine learning paradigm in which multiple devices collaboratively train a model under the supervision of a central server while ensuring data privacy. How…
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
Emre Ardıç, Yakup Genç
Federated learning (FL) is a distributed machine learning method where multiple devices collaboratively train a model under the management of a central server without sharing under…
Exploring Spectral Singularities in Dirac Semimetals: The Role of Non-Hermitian Physics and Dichroism
Mustafa Sarisaman, Murat Taş, Enes Talha Kırca
In this study, motivated by recent advancements in non-Hermitian physics, we explore new characteristics of Dirac semimetals (DSMs) using the spectral singularities by means of sca…
Simultaneous Intrusion Detection and Localization Using ISAC Network
Usama Shakoor, Muhammad Bilal Janjua, Muhammad Sohaib J. Solaija +1
The rapid increase in utilization of smart home technologies has introduced new paradigms to ensure the security and privacy of inhabitants. In this study, we propose a novel appro…
Integrating LLMs for Grading and Appeal Resolution in Computer Science Education
I. Aytutuldu, O. Yol, Y. S. Akgul
This study explores the integration of Large Language Models (LLMs) into the grading and appeal resolution process in computer science education. We introduce AI-PAT, an AI-powered…