Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Khalaj, Babak H."'
As artificial intelligence (AI) applications continue to expand in next-generation networks, there is a growing need for deep neural network (DNN) models. Although DNN models deployed at the edge are promising for providing AI as a service with low l
Externí odkaz:
http://arxiv.org/abs/2401.00631
Autor:
Saberi, Amir Hossein, Najafi, Amir, Heidari, Alireza, Movasaghinia, Mohammad Hosein, Motahari, Abolfazl, Khalaj, Babak H.
We propose a novel framework for incorporating unlabeled data into semi-supervised classification problems, where scenarios involving the minimization of either i) adversarially robust or ii) non-robust loss functions have been considered. Notably, w
Externí odkaz:
http://arxiv.org/abs/2310.00027
In this paper, we find a sample complexity bound for learning a simplex from noisy samples. Assume a dataset of size $n$ is given which includes i.i.d. samples drawn from a uniform distribution over an unknown simplex in $\mathbb{R}^K$, where samples
Externí odkaz:
http://arxiv.org/abs/2209.05953
In this paper, we consider the problem of minimizing the uplink delays of users in a 5G cellular network. Such cellular network is based on a Cloud Radio Access Network (CRAN) architecture with limited fronthaul capacity, where our goal is to minimiz
Externí odkaz:
http://arxiv.org/abs/1904.06839
Autor:
Najafi, Amir, Ilchi, Saeed, Saberi, Amir H., Motahari, Seyed Abolfazl, Khalaj, Babak H., Rabiee, Hamid R.
We study the sample complexity of learning a high-dimensional simplex from a set of points uniformly sampled from its interior. Learning of simplices is a long studied problem in computer science and has applications in computational biology and remo
Externí odkaz:
http://arxiv.org/abs/1810.07845
Autor:
Najafi, Amir, Nashta-ali, Damoun, Motahari, Seyed Abolfazl, Khani, Mehrdad, Khalaj, Babak H., Rabiee, Hamid R.
In this paper, fundamental limits in sequencing of a set of closely related DNA molecules are addressed. This problem is called pooled-DNA sequencing which encompasses many interesting problems such as haplotype phasing, metageomics, and conventional
Externí odkaz:
http://arxiv.org/abs/1604.04735
Publikováno v:
In Systems & Control Letters January 2019 123:75-84
In this paper we consider the issue of energy efficiency in random access networks and show that optimizing transmission probabilities of nodes can enhance network performance in terms of energy consumption and fairness. First, we propose a heuristic
Externí odkaz:
http://arxiv.org/abs/1011.5122
Autor:
Khodaian, Amir M., Khalaj, Babak H.
Multi-hop random access networks have received much attention due to their distributed nature which facilitates deploying many new applications over the sensor and computer networks. Recently, utility maximization framework is applied in order to opt
Externí odkaz:
http://arxiv.org/abs/1011.5124
Autor:
Khodaian, Amirmahdi, Khalaj, Babak H.
Energy consumption is a main issue of concern in wireless networks. Energy minimization increases the time that networks' nodes work properly without recharging or substituting batteries. Another criterion for network performance is data transmission
Externí odkaz:
http://arxiv.org/abs/1011.5117