Zobrazeno 1 - 10
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pro vyhledávání: '"DEMİR P"'
Integrated sensing and communications (ISAC) allows networks to perform sensing alongside data transmission. While most ISAC studies focus on single-target, multi-user scenarios, multi-target sensing is scarcely researched. This letter examines the m
Externí odkaz:
http://arxiv.org/abs/2410.22532
Autor:
Teng, Elizabeth, Demir, Ugur, Doctor, Zoheyr, Srivastava, Philipp M., Lalvani, Shamal, Kalogera, Vicky, Katsaggelos, Aggelos, Andrews, Jeff J., Bavera, Simone S., Briel, Max M., Gossage, Seth, Kovlakas, Konstantinos, Kruckow, Matthias U., Rocha, Kyle Akira, Sun, Meng, Xing, Zepei, Zapartas, Emmanouil
Knowledge about the internal physical structure of stars is crucial to understanding their evolution. The novel binary population synthesis code POSYDON includes a module for interpolating the stellar and binary properties of any system at the end of
Externí odkaz:
http://arxiv.org/abs/2410.11105
Autor:
Demir, Utku, Davaslioglu, Kemal, Sagduyu, Yalin E., Erpek, Tugba, Anderson, Gustave, Kompella, Sastry
Integrated Sensing and Communication (ISAC) represents a transformative approach within 5G and beyond, aiming to merge wireless communication and sensing functionalities into a unified network infrastructure. This integration offers enhanced spectrum
Externí odkaz:
http://arxiv.org/abs/2410.08999
Autor:
Demir, Özlem Tuğfe, Björnson, Emil
The reconfigurable intelligent surface (RIS) technology emerges as a highly useful component of the rapidly evolving integrated sensing and communications paradigm, primarily owing to its remarkable signal-to-noise ratio enhancement capabilities. In
Externí odkaz:
http://arxiv.org/abs/2410.06855
Autor:
Demir, Özlem Tuğfe, Björnson, Emil
A large-scale MIMO (multiple-input multiple-output) system offers significant advantages in wireless communication, including potential spatial multiplexing and beamforming capabilities. However, channel estimation becomes challenging with multiple a
Externí odkaz:
http://arxiv.org/abs/2410.06843
In recent years, knowledge graph embedding models have been successfully applied in the transductive setting to tackle various challenging tasks including link prediction, and query answering. Yet, the transductive setting does not allow for reasonin
Externí odkaz:
http://arxiv.org/abs/2410.06742
In recent years, several studies have explored deep learning algorithms to predict large-scale signal fading, or path loss, in urban communication networks. The goal is to replace costly measurement campaigns, inaccurate statistical models, or comput
Externí odkaz:
http://arxiv.org/abs/2410.17264
Autor:
Ghorani, Elham, Mitra, Samik, Rayimbaev, Javlon, Puliçe, Beyhan, Atamurotov, Farruh, Abdujabbarov, Ahmadjon, Demir, Durmuş
In this work, we study metric-Palatini gravity extended by the antisymmetric part of the affine curvature. This gravity theory leads to general relativity plus a geometric Proca field. Using our previous construction of its static spherically-symmetr
Externí odkaz:
http://arxiv.org/abs/2410.04993
Autor:
Demir, Samet, Dogan, Zafer
Random Feature Model (RFM) with a nonlinear activation function is instrumental in understanding training and generalization performance in high-dimensional learning. While existing research has established an asymptotic equivalence in performance be
Externí odkaz:
http://arxiv.org/abs/2409.20250
Autor:
Vatansever, Zeynep Demir, Vatansever, Erol, Berger, Andreas, Vasilopoulos, Alexandros, Fytas, Nikolaos G.
We present a comprehensive numerical study of dynamic phase transitions in the two-dimensional kinetic Ising model under a non-antisymmetric time-dependent magnetic field including a sinusoidal term and a second harmonic component. We demonstrate tha
Externí odkaz:
http://arxiv.org/abs/2409.20152