2 citations · 3 across the 5 of their papers we have counts for
9 papers
Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning
Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
Price movement prediction has always been one of the traders' concerns in financial market trading. In order to increase their profit, they can analyze the historical data and pred…
Efficient Sparse Artificial Neural Networks
Seyed Majid Naji, Azra Abtahi, Farokh Marvasti
The brain, as the source of inspiration for Artificial Neural Networks (ANN), is based on a sparse structure. This sparse structure helps the brain to consume less energy, learn ea…
Distributed interference cancellation in multi-agent scenarios
Mahdi Shamsi, Alireza Moslemi Haghighi, Farokh Marvasti
This paper considers the problem of detecting impaired and noisy nodes over network. In a distributed algorithm, lots of processing units are incorporating and communicating with e…
A Fast Iterative Method for Removing Impulsive Noise from Sparse Signals
Sahar Sadrizadeh, Nematollah Zarmehi, Ehsan Asadi +2
In this paper, we propose a new method to reconstruct a signal corrupted by noise where both signal and noise are sparse but in different domains. The problem investigated in this…
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
Ashkan Esmaeili, Farokh Marvasti
In this paper, we introduce a novel and robust approach to Quantized Matrix Completion (QMC). First, we propose a rank minimization problem with constraints induced by quantization…
NLOS Mitigation Using Sparsity Feature And Iterative Methods
Abbas Abolfathi, Fereidoon Behnia, Farokh Marvasti
Well-known methods are employed to localize mobile station (MS) using line of sight (LOS) measurements. These methods may result in large error if they are fed with non LOS (NLOS)…