Zobrazeno 1 - 10
of 24 744
pro vyhledávání: '"A. A. Rostami"'
Autor:
Sun, Ruitong, Rostami, Mohammad
Manual annotation of 3D medical images for segmentation tasks is tedious and time-consuming. Moreover, data privacy limits the applicability of crowd sourcing to perform data annotation in medical domains. As a result, training deep neural networks f
Externí odkaz:
http://arxiv.org/abs/2410.09210
Unsupervised Domain Adaptation (UDA) is crucial for reducing the need for extensive manual data annotation when training deep networks on point cloud data. A significant challenge of UDA lies in effectively bridging the domain gap. To tackle this cha
Externí odkaz:
http://arxiv.org/abs/2410.02720
Autor:
Ghasemi, S. Mojtaba, Rostami-Shirazi, Ali, Khalaj, Pouria, Zonoozi, Akram Hasani, Haghi, Hosein
We investigate the impact of primordial mass segregation on the formation and evolution of dark star clusters (DSCs). Considering a wide range of initial conditions, we conducted $N$-body simulations of globular clusters (GCs) around the Milky Way. I
Externí odkaz:
http://arxiv.org/abs/2409.15280
Backscatter communication (BC) emerges as a pivotal technology for ultra-low-power energy harvesting applications, but its practical deployment is often hampered by notable security vulnerabilities. Physical layer authentication (PLA) offers a promis
Externí odkaz:
http://arxiv.org/abs/2410.02778
Backscatter communication (BC) has emerged as a pivotal wireless communication paradigm owing to its low-power and cost-effective characteristics. However, BC faces various challenges from its low signal detection rate to its security vulnerabilities
Externí odkaz:
http://arxiv.org/abs/2410.01829
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Multi-task learning (MTL) is a machine learning paradigm that aims to improve the generalization performance of a model on multiple related tasks by training it simultaneously on those tasks. Unlike MTL, where the model has instant access to the trai
Externí odkaz:
http://arxiv.org/abs/2408.16939
Backscattering tag-to-tag networks (BTTNs) represent a passive radio frequency identification (RFID) system that enables direct communication between tags within an external radio frequency (RF) field. However, low spectral efficiency and short-range
Externí odkaz:
http://arxiv.org/abs/2408.16853
Autor:
Ghadi, Farshad Rostami, Wong, Kai-Kit, Kaveh, Masoud, Lopez-Martinez, F. Javier, New, Wee Kiat, Xu, Hao
This paper examines the impact of emerging fluid antenna systems (FAS) on reconfigurable intelligent surface (RIS)-aided secure communications. Specifically, we consider a classic wiretap channel, where a fixed-antenna transmitter sends confidential
Externí odkaz:
http://arxiv.org/abs/2408.14969
Autor:
Cai, Yuliang, Rostami, Mohammad
Large vision-language models (VLMs) have shown significant performance boost in various application domains. However, adopting them to deal with several sequentially encountered tasks has been challenging because finetuning a VLM on a task normally l
Externí odkaz:
http://arxiv.org/abs/2408.11742
Autor:
Ghadi, Farshad Rostami, Wong, Kai-Kit, Lopez-Martinez, F. Javier, Shin, Hyundong, Hanzo, Lajos
This paper investigates a two-user downlink system for integrated sensing and communication (ISAC) in which the two users deploy a fluid antenna system (FAS) and adopt the nonorthogonal multiple access (NOMA) strategy. Specifically, the integrated se
Externí odkaz:
http://arxiv.org/abs/2408.04724