Zobrazeno 1 - 10
of 7 157
pro vyhledávání: '"P Nasiri"'
Recent experiments have demonstrated the feasibility of storing digital information in macromolecules such as DNA and protein. However, the DNA storage channel is prone to errors such as deletions, insertions, and substitutions. During the synthesis
Externí odkaz:
http://arxiv.org/abs/2410.15290
Robust classification of the operational environment of wireless devices is becoming increasingly important for wireless network optimization, particularly in a shared spectrum environment. Distinguishing between indoor and outdoor devices can enhanc
Externí odkaz:
http://arxiv.org/abs/2410.13159
Autor:
Amiriara, Hamid, Ashtiani, Farid, Mirmohseni, Mahtab, Nasiri-Kenari, Masoumeh, Maham, Behrouz
This paper analyses the performance of reconfigurable intelligent surface (RIS)-assisted device-to-device (D2D) communication systems, focusing on addressing co-channel interference, a prevalent issue due to the frequency reuse of sidelink in the und
Externí odkaz:
http://arxiv.org/abs/2410.06759
Quantum gravity has long remained elusive from an observational standpoint. Developing effective cosmological models motivated by the fundamental aspects of quantum gravity is crucial for bridging theory with observations. One key aspect is the granu
Externí odkaz:
http://arxiv.org/abs/2409.02188
In this paper, physics-informed neural network models are developed to predict the concentrate gold grade in froth flotation cells. Accurate prediction of concentrate grades is important for the automatic control and optimization of mineral processin
Externí odkaz:
http://arxiv.org/abs/2408.15267
This paper presents the development and assessment of a teleoperation framework for robot-assisted minimally invasive surgery (MIS). The framework leverages our novel integration of an adaptive remote center of motion (RCM) using admittance control.
Externí odkaz:
http://arxiv.org/abs/2407.12711
Publikováno v:
EuCNC and 6G Summit 2024
Presenting analytical results for Binary Media-Based Modulation (B-MBM) over fading channels for single-antenna receivers. Illustrating that open-loop B-MBM, in the absence of feedback, only achieves a diversity order of one. However, with feedback a
Externí odkaz:
http://arxiv.org/abs/2407.03054
Mamba-based models, VMamba and Vim, are a recent family of vision encoders that offer promising performance improvements in many computer vision tasks. This paper compares Mamba-based models with traditional Convolutional Neural Networks (CNNs) and V
Externí odkaz:
http://arxiv.org/abs/2407.03552
Autor:
Bafghi, Ali H. Abdollahi, Mirmohseni, Mahtab, Nasiri-Kenari, Masoumeh, Maham, Behrouz, Spagnolini, Umberto
In this paper, we study the impact of the existence of multiple IRSs in a homogeneous wireless network, in which all BSs, users (U), and IRSs are spatially distributed by an independent homogeneous PPP, with density $\lambda_{{\rm BS}}\rm{[BS/m^2]}$,
Externí odkaz:
http://arxiv.org/abs/2406.07352
Representation learning from Gigapixel Whole Slide Images (WSI) poses a significant challenge in computational pathology due to the complicated nature of tissue structures and the scarcity of labeled data. Multi-instance learning methods have address
Externí odkaz:
http://arxiv.org/abs/2404.13222