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10/14/2022
Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification
Robust optimization is a method for optimization under uncertainties in ...
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09/30/2022
Leveraging Industry 4.0 – Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System
Industry 4.0 targets the conversion of the traditional industries into i...
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09/30/2022
Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems
Surrogate modeling has brought about a revolution in computation in the ...
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09/25/2022
Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications
The concept of small modular reactor has changed the outlook for tacklin...
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07/11/2022
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech
Existing Text-to-Speech (TTS) systems need to read messages from the ema...
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07/01/2020
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving...
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04/21/2020
SIBRE: Self Improvement Based REwards for Reinforcement Learning
We propose a generic reward shaping approach for improving rate of conve...
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11/12/2019
Accelerating Training in Pommerman with Imitation and Reinforcement Learning
The Pommerman simulation was recently developed to mimic the classic Jap...
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10/17/2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report
In this paper, we consider a territory guarding game involving pursuers,...
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01/07/2018