Maryam Ahang - RankMe

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer. CoRR Hadi Zare, Mostafa Abbasi, Maryam Ahang, Homayoun Najjaran
2025	J	`jnl`	Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions. Comput. Ind. Eng. Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran
2025	J	`jnl`	FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring. CoRR Mostafa Abbasi, Maziyar Khadivi, Maryam Ahang, Patricia Lasserre, Yves Lucet, Homayoun Najjaran
2025	J	`jnl`	Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis. CoRR Hootan Mahmoodiyan, Maryam Ahang, Mostafa Abbasi, Homayoun Najjaran
2025	J	`jnl`	Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction. CoRR Ali Mohajerzarrinkelk, Maryam Ahang, Mehran Zoravar, Mostafa Abbasi, Homayoun Najjaran
2024	—	`conf`	Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework. CASE Maryam Ahang, Mostafa Abbasi, Todd Charter, Homayoun Najjaran
2024	J	`jnl`	Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework. CoRR Maryam Ahang, Mostafa Abbasi, Todd Charter, Homayoun Najjaran
2024	J	`jnl`	Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies. CoRR Maryam Ahang, Todd Charter, Oluwaseyi Ogunfowora, Maziyar Khadivi, Mostafa Abbasi, Homayoun Najjaran
2023	J	`jnl`	Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions. CoRR Maziyar Khadivi, Todd Charter, Marjan Yaghoubi, Masoud Jalayer, Maryam Ahang, Ardeshir Shojaeinasab, Homayoun Najjaran
2022	J	`jnl`	Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN. Sensors Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab, Oluwaseyi Ogunfowora, Todd Charter, Homayoun Najjaran
2022	J	`jnl`	Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN. CoRR Maryam Ahang, Masoud Jalayer, Ardeshir Shojaeinasab, Oluwaseyi Ogunfowora, Todd Charter, Homayoun Najjaran