no code implementations • 15 Oct 2023 • Mahdi Shamsi, Farokh Marvasti
Distributed algorithms, particularly Diffusion Least Mean Square, are widely favored for their reliability, robustness, and fast convergence in various industries.
no code implementations • 21 Sep 2023 • Mahdi Shamsi, Farokh Marvasti
This paper presents an innovative approach leveraging Spectrally Efficient Frequency Division Multiplexing (SEFDM) with enhancements, including Frequency Domain Cyclic Prefix (FDCP) and Modified Non-Linear (MNL) acceleration, to address challenges arising from delay and Doppler shift in mobile communication channels.
no code implementations • 17 May 2023 • Mahdi Shamsi, Soosan Beheshti
By stochastically analyzing the behavior of the regularization parameter, this work shows that the SVM performance can be modeled as a function of separability and scatteredness (S&S) of the data.
no code implementations • 28 Mar 2023 • Soosan Beheshti, Mahdi Shamsi
The proposed approach, denoted by epsilon-Confidence Approximately Correct (epsilon CoAC), utilizes Kullback Leibler divergence (relative entropy) and proposes a new related typical set in the set of hyperparameters to tackle the learnability issue.
no code implementations • 7 Oct 2022 • Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
This paper aims to offer an approach using Twin-Delayed DDPG (TD3) and the daily close price in order to achieve a trading strategy in the stock and cryptocurrency markets.
no code implementations • 22 Oct 2019 • Mahdi Shamsi, Alireza Moslemi Haghighi, Farokh Marvasti
This paper considers the problem of detecting impaired and noisy nodes over network.
no code implementations • 4 Jun 2019 • Mahdi Shamsi, Mahmoud Ghandi, Farokh Marvasti
Iterative methods have led to better understanding and solving problems such as missing sampling, deconvolution, inverse systems, impulsive and Salt and Pepper noise removal problems.