3 citations · 6 across the 4 of their papers we have counts for
6 papers
Harnessing the Full Potential of RRAMs through Scalable and Distributed In-Memory Computing with Integrated Error Correction
Huynh Q. N. Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan +2
Exponential growth in global computing demand is exacerbated due to the higher-energy requirements of conventional architectures, primarily due to energy-intensive data movement. I…
Text embedding models can be great data engineers
Iman Kazemian, Paritosh Ramanan, Murat Yildirim
Data engineering pipelines are essential - albeit costly - components of predictive analytics frameworks requiring significant engineering time and domain expertise for carrying ou…
Sensor-Driven Predictive Vehicle Maintenance and Routing Problem with Time Windows
Iman Kazemian, Bahar Cavdar, Murat Yildirim
Advancements in sensor technology offer significant insights into vehicle conditions, unlocking new venues to enhance fleet operations. While current vehicle health management mode…
Attention is All You Need to Optimize Wind Farm Operations and Maintenance
Iman Kazemian, Murat Yildirim, Paritosh Ramanan
Operations and maintenance (O&M) is a fundamental problem in wind energy systems with far reaching implications for reliability and profitability. Optimizing O&M is a multi-faceted…
The Lynchpin of In-Memory Computing: A Benchmarking Framework for Vector-Matrix Multiplication in RRAMs
Md Tawsif Rahman Chowdhury, Huynh Quang Nguyen Vo, Paritosh Ramanan +2
The Von Neumann bottleneck, a fundamental challenge in conventional computer architecture, arises from the inability to execute fetch and data operations simultaneously due to a sh…
Federated Battery Diagnosis and Prognosis
Nur Banu Altinpulluk, Deniz Altinpulluk, Paritosh Ramanan +4
Battery diagnosis, prognosis and health management models play a critical role in the integration of battery systems in energy and mobility fields. However, large-scale deployment…