Zobrazeno 1 - 10
of 17 024
pro vyhledávání: '"Momeni, A"'
Autor:
Kantchelian, Alex, Neo, Casper, Stevens, Ryan, Kim, Hyungwon, Fu, Zhaohao, Momeni, Sadegh, Huber, Birkett, Bursztein, Elie, Pavlidis, Yanis, Buthpitiya, Senaka, Cochran, Martin, Poletto, Massimiliano
We present Facade (Fast and Accurate Contextual Anomaly DEtection): a high-precision deep-learning-based anomaly detection system deployed at Google (a large technology company) as the last line of defense against insider threats since 2018. Facade i
Externí odkaz:
http://arxiv.org/abs/2412.06700
Autor:
Delfan, Niloufar, Moghadam, Pardis Ketabi, Khoshnevisan, Mohammad, Chagahi, Mehdi Hosseini, Hatami, Behzad, Asgharzadeh, Melika, Zali, Mohammadreza, Moshiri, Behzad, Moghaddam, Amin Momeni, Khalafi, Mohammad Amin, Dehnad, Khosrow
Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a global scale, posing a significant threat of progressing to more severe conditions like nonalcoholic steatohepatitis (NASH), liver fibrosis, cirrhosis, and h
Externí odkaz:
http://arxiv.org/abs/2412.04884
Autor:
Momeni, Davood, Myrzakulov, Ratbay
The quest to understand gravity's role in shaping the universe has led to the exploration of modified gravity theories. One such theory is Myrzakulov gravity, which incorporates both curvature and torsion. In this work, we investigate the effects of
Externí odkaz:
http://arxiv.org/abs/2412.04524
We present DiffVox, a self-supervised framework for Cone-Beam Computed Tomography (CBCT) reconstruction by directly optimizing a voxelgrid representation using physics-based differentiable X-ray rendering. Further, we investigate how the different im
Externí odkaz:
http://arxiv.org/abs/2411.19224
Autor:
Matsuo, Ryoga, Uhlich, Stefan, Venkitaraman, Arun, Bonetti, Andrea, Hsieh, Chia-Yu, Momeni, Ali, Mauch, Lukas, Capone, Augusto, Ohbuchi, Eisaku, Servadei, Lorenzo
Machine learning models are advancing circuit design, particularly in analog circuits. They typically generate netlists that lack human interpretability. This is a problem as human designers heavily rely on the interpretability of circuit diagrams or
Externí odkaz:
http://arxiv.org/abs/2411.13899
Autor:
Uhlich, Stefan, Bonetti, Andrea, Venkitaraman, Arun, Momeni, Ali, Matsuo, Ryoga, Hsieh, Chia-Yu, Ohbuchi, Eisaku, Servadei, Lorenzo
Designing integrated circuits involves substantial complexity, posing challenges in revealing its potential applications - from custom digital cells to analog circuits. Despite extensive research over the past decades in building versatile and automa
Externí odkaz:
http://arxiv.org/abs/2411.13890
Developing efficient path integral (PI) methods for atomistic simulations of vibrational spectra in heterogeneous condensed phases and interfaces has long been a challenging task. Here, we present the h-CMD method, short for hybrid centroid molecular
Externí odkaz:
http://arxiv.org/abs/2411.08065
In this study, we explore the dynamics of warm inflation within a non-minimally coupled Peccei-Quinn (PQ) framework and evaluate its compatibility with the de Sitter Swampland Conjecture. Our model incorporates a PQ scalar field that is non-minimally
Externí odkaz:
http://arxiv.org/abs/2410.12296
Autor:
Li, Lingyao, Hu, Songhua, Dai, Yinpei, Deng, Min, Momeni, Parisa, Laverghetta, Gabriel, Fan, Lizhou, Ma, Zihui, Wang, Xi, Ma, Siyuan, Ligatti, Jay, Hemphill, Libby
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in scope. Crowdsourcing via online reviews offers a valuable alternative
Externí odkaz:
http://arxiv.org/abs/2409.08459
Autor:
Akter, Suchona, Li, Yong, Kim, Minbum, Faruque, Md Omar, Peng, Zhonghua, Thallapally, Praveen K., Momeni, Mohammad R.
Publikováno v:
Langmuir 2024, ASAP
Selective adsorptive capture and separation of chemically inert Kr and Xe noble gases with very low ppmv concentrations in air and industrial off-gases constitute an important technological challenge. Here, using a synergistic combination of experime
Externí odkaz:
http://arxiv.org/abs/2407.19246