49 citations · 83 across the 6 of their papers we have counts for
6 papers
Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods
Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2
In bearing vibration datasets, most samples receive predicted fault probabilities close to 0 or 1, while samples with intermediate (gray-zone) probabilities are rare. Such borderli…
Mixing Solutions in Bitcoin and Ethereum Ecosystems: A Review and Tutorial
Alireza Arbabi, Ardeshir Shojaeinasab, Behnam Bahrak +1
This manuscript presents an exhaustive review of blockchain-based mixing services, aiming to fill the existing gap between academic innovations and real-world implementations. Star…
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi +4
Machine scheduling aims to optimize job assignments to machines while adhering to manufacturing rules and job specifications. This optimization leads to reduced operational costs,…
InsightiGen: a versatile tool to generate insight for an academic systematic literature review
Ardeshir Shojaeinasab, Masoud Jalayer, Homayoun Najjaran
A comprehensive literature review has always been an essential first step of every meaningful research. In recent years, however, the availability of a vast amount of information i…
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab +3
Bearings are one of the vital components of rotating machines that are prone to unexpected faults. Therefore, bearing fault diagnosis and condition monitoring is essential for redu…
Mixing detection on Bitcoin transactions using statistical patterns
Ardeshir Shojaeenasab, Amir Pasha Motamed, Behnam Bahrak
Cryptocurrencies gained lots of attention mainly because of the anonymous way of online payment, which they suggested. Meanwhile, Bitcoin and other major cryptocurrencies have expe…