27 citations · 34 across the 6 of their papers we have counts for
6 papers
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan, Rohan Mohapatra, Sanchari Das +1
The emergence of deep learning models has revolutionized various industries over the last decade, leading to a surge in connected devices and infrastructures. However, these models…
The State of Lithium-Ion Battery Health Prognostics in the CPS Era
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan +5
Lithium-ion batteries (Li-ion) have revolutionized energy storage technology, becoming integral to our daily lives by powering a diverse range of devices and applications. Their hi…
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics
Gaurav Shinde, Rohan Mohapatra, Pooja Krishan +1
The usage of Lithium-ion (Li-ion) batteries has gained widespread popularity across various industries, from powering portable electronic devices to propelling electric vehicles an…
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction
Rohan Mohapatra, Saptarshi Sengupta
Hard Disk Drive (HDD) failures in datacenters are costly - from catastrophic data loss to a question of goodwill, stakeholders want to avoid it like the plague. An important tool i…
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters
Rohan Mohapatra, Austin Coursey, Saptarshi Sengupta
On a daily basis, data centers process huge volumes of data backed by the proliferation of inexpensive hard disks. Data stored in these disks serve a range of critical functional n…
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello +3
This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks. In order to support…