347 citations · 795 across the 48 of their papers we have counts for
6 papers · 1 filter
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs
Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan +3
We investigate solving discrete optimisation problems using the estimation of distribution (EDA) approach via a novel combination of deep belief networks(DBN) and inductive logic p…
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan +4
Many approaches for estimation of Remaining Useful Life (RUL) of a machine, using its operational sensor data, make assumptions about how a system degrades or a fault evolves, e.g.…
Generation of Near-Optimal Solutions Using ILP-Guided Sampling
Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig +2
Our interest in this paper is in optimisation problems that are intractable to solve by direct numerical optimisation, but nevertheless have significant amounts of relevant domain-…
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand +3
Mechanical devices such as engines, vehicles, aircrafts, etc., are typically instrumented with numerous sensors to capture the behavior and health of the machine. However, there ar…
ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines
Mohit Yadav, Pankaj Malhotra, Lovekesh Vig +2
Machines of all kinds from vehicles to industrial equipment are increasingly instrumented with hundreds of sensors. Using such data to detect anomalous behaviour is critical for sa…
Relationship Queries on Large graphs using Pregel
Puneet Agarwal, Maya Ramanath, Gautam Shroff
Large-scale graph-structured data arising from social networks, databases, knowledge bases, web graphs, etc. is now available for analysis and mining. Graph-mining often involves '…