Syed Zubair

Orcid: 0000-0003-0897-2448

According to our database1, Syed Zubair authored at least 21 papers between 2013 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Machine Learning-Enabled Data-Driven Fault Detection for Predictive Maintenance in HVAC Systems.
Proceedings of the International Conference on Frontiers of Information Technology, 2023

2022
Scalable tensor factorization for recovering multiday missing intramuscular electromyography data.
J. Intell. Fuzzy Syst., 2022

An Indoor Air Temperature Prediction Framework for Model Predictive Control in HVAC Systems.
Proceedings of the 27th International Conference on Automation and Computing, 2022

2021
Classification Analysis of Tensor-Based Recovered Missing EEG Data.
IEEE Access, 2021

2020
Design of normalized fractional SGD computing paradigm for recommender systems.
Neural Comput. Appl., 2020

Speech Enhancement for Multimodal Speaker Diarization System.
IEEE Access, 2020

2019
Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme.
Sensors, 2019

Multimodal Speaker Diarization Using a Pre-Trained Audio-Visual Synchronization Model.
Sensors, 2019

Unsupervised deep feature embeddings for speaker diarization.
Turkish J. Electr. Eng. Comput. Sci., 2019

Fractional stochastic gradient descent for recommender systems.
Electron. Mark., 2019

A New Users Rating-Trend Based Collaborative Denoising Auto-Encoder for Top-N Recommender Systems.
IEEE Access, 2019

Design of Momentum Fractional Stochastic Gradient Descent for Recommender Systems.
IEEE Access, 2019

Enhancing MR Image Reconstruction Using Block Dictionary Learning.
IEEE Access, 2019

A Tensor-Based Method for Completion of Missing Electromyography Data.
IEEE Access, 2019

2018
Momentum fractional LMS for power signal parameter estimation.
Signal Process., 2018

Design of momentum LMS adaptive strategy for parameter estimation of Hammerstein controlled autoregressive systems.
Neural Comput. Appl., 2018

2014
Dictionary learning for signal classification.
PhD thesis, 2014

Signal classification based on block-sparse tensor representation.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Discriminativetensor dictionaries and sparsity for speaker identification.
Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

2013
Dictionary learning based sparse coefficients for audio classification with max and average pooling.
Digit. Signal Process., 2013

Tensor dictionary learning with sparse TUCKER decomposition.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013


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