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20122026
most citedKnowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis

6 citations · 22 across the 18 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CR2021

Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase

Mayank Pandey, Rachit Agarwal, Sandeep Kumar Shukla +1

In cryptocurrency-based permissionless blockchain networks, the decentralized structure enables any user to join and operate across different regions. The criminal entities exploit…

cs.NE2021

Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis

Arun K. Sharma, Nishchal K. Verma

The diagnostic performance of most of the deep learning models is greatly affected by the selection of model architecture and hyperparameters. Manual selection of model architectur…

eess.SP2021★ 6 cited

Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis

Arun K. Sharma, Nishchal K. Verma

A faster response with commendable accuracy in intelligent systems is essential for the reliability and smooth operations of industrial machines. Two main challenges affect the des…

cs.LG2021

On fine-tuning of Autoencoders for Fuzzy rule classifiers

Rahul Kumar Sevakula, Nishchal Kumar Verma, Hisao Ishibuchi

Recent discoveries in Deep Neural Networks are allowing researchers to tackle some very complex problems such as image classification and audio classification, with improved theore…

cs.CR2021★ 2 cited

Security of Healthcare Data Using Blockchains: A Survey

Mayank Pandey, Rachit Agarwal, Sandeep K. Shukla +1

The advancement in the healthcare sector is entering into a new era in the form of Health 4.0. The integration of innovative technologies like Cyber-Physical Systems (CPS), Big Dat…

stat.ML2021★ 4 cited

Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis

Arun K. Sharma, Nishchal K. Verma

The fault diagnostic model trained for a laboratory case machine fails to perform well on the industrial machines running under variable operating conditions. For every new operati…