Sheraz A. Khan

According to our database1, Sheraz A. Khan authored at least 16 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
An Intelligent Integrated Approach for Efficient Demand Side Management With Forecaster and Advanced Metering Infrastructure Frameworks in Smart Grid.
IEEE Access, 2020

No-frills Water Comfort for Developing Regions.
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

2019
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models.
Reliab. Eng. Syst. Saf., 2019

2018
A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models.
IEEE Trans. Ind. Electron., 2018

A Reliable Health Indicator for Fault Prognosis of Bearings.
Sensors, 2018

A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms.
Microprocess. Microsystems, 2018

Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation.
Proceedings of the International Conference on Advancements in Computational Sciences, 2018

2017
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm.
Sensors, 2017

A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems.
Inf. Sci., 2017

An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications.
Proceedings of the Applied Reconfigurable Computing - 13th International Symposium, 2017

2016
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors.
J. Sensors, 2016

Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution.
IEEE Access, 2016

Multi-core Accelerated Discriminant Feature Selection for Real-Time Bearing Fault Diagnosis.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

2015
Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Maximum Class Separability-Based Discriminant Feature Selection Using a GA for Reliable Fault Diagnosis of Induction Motors.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Real-Time Vehicle Recognition and Improved Traffic Congestion Resolution.
Proceedings of the 13th International Conference on Frontiers of Information Technology, 2015


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