no code implementations • 8 Sep 2023 • Mohamadreza Jafaryani, Hamid Sheikhzadeh, Vahid Pourahmadi
On the other hand, statistical methods are effective with limited data but have difficulties in modelling complex mapping functions.
1 code implementation • 25 Jun 2023 • Ali Mirzaei, Vahid Pourahmadi, Hamid Sheikhzadeh, Alireza Abdollahpourrostam
During the test phase, the proposed approach utilizes Fisher scores for feature ranking to identify the most important feature at each step.
1 code implementation • 3 Aug 2021 • Mohammad Sadegh Safari, Vahid Pourahmadi, Patrick Mitran, Hamid Sheikhzadeh
The transmitter aims to send the data to the receiver as fast as possible and with as few channel uses as possible (as channel conditions permit) while the receiver refines its estimate after each channel use.
no code implementations • 10 Apr 2020 • Mohamadreza Jafaryani, Saeed Khorram, Vahid Pourahmadi, Minoo Shahbazi
Detection of such sleep disorders is usually possible by analyzing a number of vital signals that have been collected from the patients.
no code implementations • 30 Dec 2019 • Mohammad Hadi Kefayati, Vahid Pourahmadi, Hassan Aghaeinia
Objects in an environment affect electromagnetic waves.
no code implementations • 3 Oct 2019 • Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi, Saeed Sharifian, Rong Zheng
As such decisions are application dependent and may change over time, they should be learned during the operation of the system, for that we propose a method based on Advantage Actor-Critic (A2C) reinforcement learning which gradually learns which sensor's data is cost-effective to be sent to the central node.
no code implementations • 19 Aug 2019 • Shirin Seyedsalehi, Vahid Pourahmadi, Hamid Sheikhzadeh, Ali Hossein Gharari Foumani
This paper presents a novel propagation channel model which considers the time-frequency response of the channel as an image.
1 code implementation • 17 Mar 2019 • Ali Mirzaei, Vahid Pourahmadi, Mehran Soltani, Hamid Sheikhzadeh
In this paper, we present a novel teacher-student feature selection (TSFS) method in which a 'teacher' (a deep neural network or a complicated dimension reduction method) is first employed to learn the best representation of data in low dimension.
1 code implementation • 16 Dec 2018 • Mohammad Sadegh Safari, Vahid Pourahmadi, Shabnam Sodagari
As such, we extracted the environment information from the UL channel response to a latent domain and then transferred the derived environment information from the latent domain to predict the DL channel.
no code implementations • 27 Nov 2018 • Peyman Yazdanian, Vahid Pourahmadi
Unlike the previous fingerprinting approaches, in this work, we do not store the {CSI/RSS} of fingerprints and instead we model the environment only with a single SAE.
4 code implementations • 13 Oct 2018 • Mehran Soltani, Vahid Pourahmadi, Ali Mirzaei, Hamid Sheikhzadeh
This scheme considers the pilot values, altogether, as a low-resolution image and uses an SR network cascaded with a denoising IR network to estimate the channel.