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Perturbative Analytical Construction of Bowen-York Initial Data for Binary Black Holes up to Third Order in Spin and Linear Momentum
Leyla Ogurol, Tore Boybeyi, Bayram Tekin
We analytically construct initial data for binary black hole systems by solving the Einstein constraint equations within the Bowen-York framework. Allowing for arbitrarily oriented…
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Murat Temiz, Yongwei Zhang, Yanwei Fu +4
This article comprehensively reviews recent developments and research on deep learning-based (DL-based) techniques for integrated sensing and communication (ISAC) systems. ISAC, wh…
Pediatric Pancreas Segmentation from MRI Scans with Deep Learning
Elif Keles, Merve Yazol, Gorkem Durak +11
Objective: Our study aimed to evaluate and validate PanSegNet, a deep learning (DL) algorithm for pediatric pancreas segmentation on MRI in children with acute pancreatitis (AP), c…
Quantum Particle Creation by Cosmic Strings in de Sitter Spacetime
Bilgehan Baris Oner, Ozlem Yesiltas
This paper explores the phenomenon of particle creation associated with cosmic strings in de Sitter spacetime, a model that represents the universe exponential expansion. We examin…