Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Mahjoubfar, A."'
Humans apprehend the world through various sensory modalities, yet language is their predominant communication channel. Machine learning systems need to draw on the same multimodal richness to have informed discourses with humans in natural language;
Externí odkaz:
http://arxiv.org/abs/2208.11253
On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector. When a product is out-of-stock (OOS) and a customer cannot find it on its designed shelf, this motivates t
Externí odkaz:
http://arxiv.org/abs/2205.13060
Publikováno v:
PLoS ONE 17(4): e0264364, 2022
Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency. Here, w
Externí odkaz:
http://arxiv.org/abs/2008.01380
Autor:
Maryam Noori, Shadi Azizi, Aref Mahjoubfar, Farhan Abbasi Varaki, Farimah Fayyaz, Amir-Hossein Mousavian, Davood Bashash, Mehdi Kardoust Parizi, Amir Kasaeian
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Immunotherapy has revolutionized the treatment paradigm of many cancers, however, its effectiveness in prostate cancer patients is still under question. In the present systematic review and meta-analysis, we sought for assessing the efficacy and safe
Externí odkaz:
https://doaj.org/article/cf43886e626f44afa6740666cde333e8
Publikováno v:
Scientific Reports 9 (2019) 11088
Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available. In the area of measurement technology, instrumen
Externí odkaz:
http://arxiv.org/abs/1904.09233
Publikováno v:
In International Immunopharmacology December 2022 113 Part A
We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms. This discovery is spearheading development of a new class of physics-inspired algorithms for fea
Externí odkaz:
http://arxiv.org/abs/1706.07841
We are inspired by mechanical gearboxes and demonstrate its analog counterpart in optics. We use nonlinear dispersion modes as "gears" to overcome the mismatch between the ultrahigh speed of optical data and the much slower sampling rate of electroni
Externí odkaz:
http://arxiv.org/abs/1612.04562
Autor:
Jalali, Bahram, Mahjoubfar, Ata
Publikováno v:
Proceeding of the IEEE, Vol. 103, No. 7, pp. 1071-1086, 2015
This paper proposes a new class of hardware accelerators to alleviate bottlenecks in the acquisition, analytics, storage and computation of information carried by wideband streaming signals.
Comment: 12 Figures
Comment: 12 Figures
Externí odkaz:
http://arxiv.org/abs/1506.07629
We present a microscope paradigm that performs differential interference imaging with high sensitivity via optical amplification and radio-frequency (RF) heterodyne detection. This method, termed differentially-enhanced sideband imaging via radio-fre
Externí odkaz:
http://arxiv.org/abs/1503.07247