Zobrazeno 1 - 10
of 12 020
pro vyhledávání: '"A, Moein"'
Deep neural networks (DNNs) offer significant promise for improving breast cancer diagnosis in medical imaging. However, these models are highly susceptible to adversarial attacks--small, imperceptible changes that can mislead classifiers--raising cr
Externí odkaz:
http://arxiv.org/abs/2412.09910
Autor:
Masoudifard, Arsalan, Sorond, Mohammad Mowlavi, Madadi, Moein, Sabokrou, Mohammad, Habibi, Elahe
Ensuring that Software Requirements Specifications (SRS) align with higher-level organizational or national requirements is vital, particularly in regulated environments such as finance and aerospace. In these domains, maintaining consistency, adheri
Externí odkaz:
http://arxiv.org/abs/2412.08593
Autor:
Moein, Mohammad, Hajiagha, Mohammadreza Molavi, Faraji, Abdolali, Tavakoli, Mohammadreza, Kismihòk, Gàbor
While Online Learning is growing and becoming widespread, the associated curricula often suffer from a lack of coverage and outdated content. In this regard, a key question is how to dynamically define the topics that must be covered to thoroughly le
Externí odkaz:
http://arxiv.org/abs/2412.07422
Dielectric loaded waveguides (DLWs) driven by multicycle terahertz (THz) pulses hold great promise as compact linear accelerators (LINACs) due to their ability to sustain higher breakdown fields at THz frequencies compared to conventional RF componen
Externí odkaz:
http://arxiv.org/abs/2412.03202
Publikováno v:
The Open Journal of Astrophysics, Volume 7, 3rd December, 2024
We present a systematic analysis of the spatially resolved star formation histories (SFHs) using Hubble Space Telescope imaging data of $\sim 997$, intermediate redshifts $0.5 \leq z \leq 2.0$ galaxies from the GOODS-S field, with stellar mass range
Externí odkaz:
http://arxiv.org/abs/2412.00599
Autor:
Ahani, Zahra, Tash, Moein Shahiki, Balouchzahi, Fazlourrahman, Ramos, Luis, Sidorov, Grigori, Gelbukh, Alexander
Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the face of challenges, and enhancing overall well-being. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2411.02580
Monitored quantum circuits offer great perspectives for exploring the interplay of quantum information and complex quantum dynamics. These systems could realize the extensively studied entanglement and purification phase transitions, as well as a ric
Externí odkaz:
http://arxiv.org/abs/2410.14784
We aim to discern scenarios of structural evolution of intermediate to high-mass star-forming galaxies (SFGs) since cosmic noon by comparing their stellar mass profiles with present-day stellar masses of $\log(M_{\ast,0}/M_{\odot})=10.3-11$. We addre
Externí odkaz:
http://arxiv.org/abs/2410.05867
We introduce Learning from Offline Foundation Features with Tensor Augmentations (LOFF-TA), an efficient training scheme designed to harness the capabilities of foundation models in limited resource settings where their direct development is not feas
Externí odkaz:
http://arxiv.org/abs/2410.02527
We introduce Temporal Attention-enhanced Variational Graph Recurrent Neural Network (TAVRNN), a novel framework for analyzing the evolving dynamics of neuronal connectivity networks in response to external stimuli and behavioral feedback. TAVRNN capt
Externí odkaz:
http://arxiv.org/abs/2410.00665