Md. Zia Ur Rahman
Orcid: 0000-0002-4948-3870Affiliations:
- K. L. University, Koneru Lakshmaiah Education Foundation, Guntur, India
- Andhra University, Visakhapatnam, India (PhD)
- Kallam Haranadhareddy Institute of Technology, Guntur, India (former)
- Narasaraopeta Engineering College, Narasaraopet, India (former)
According to our database1,
Md. Zia Ur Rahman
authored at least 23 papers
between 2009 and 2023.
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Bibliography
2023
SBTC-Net: Secured Brain Tumor Segmentation and Classification Using Black Widow With Genetic Optimization in IoMT.
IEEE Access, 2023
Brain Epileptic Seizure Detection Using Joint CNN and Exhaustive Feature Selection With RNN-BLSTM Classifier.
IEEE Access, 2023
2022
AE-LEACH: An Incremental Clustering Approach for Reducing the Energy Consumption in WSN.
Microprocess. Microsystems, September, 2022
J. Intell. Fuzzy Syst., 2022
IEEE Access, 2022
2021
An Intelligent cognitive sensing and detection strategy for medical telemetry networks.
J. Intell. Fuzzy Syst., 2021
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021
2020
An Efficient optimal threshold-based segmentation and classification model for multi-level spinal cord Injury detection.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020
Energy Detection for Spectrum Sensing in Medical Telemetry Networks using Modified NLMS algorithm.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
Efficient Pairing-Free Identity-Based ADS-B Authentication Scheme With Batch Verification.
IEEE Trans. Aerosp. Electron. Syst., 2019
Efficient and Secure Pairing-Free Certificateless Aggregate Signature Scheme for Healthcare Wireless Medical Sensor Networks.
IEEE Internet Things J., 2019
New Exon Prediction Techniques Using Adaptive Signal Processing Algorithms for Genomic Analysis.
IEEE Access, 2019
Fast and Accurate Feature Extraction-Based Segmentation Framework for Spinal Cord Injury Severity Classification.
IEEE Access, 2019
2018
An Efficient Kalman Noise Canceller for Cardiac Signal Analysis in Modern Telecardiology Systems.
IEEE Access, 2018
Novel Logarithmic Reference Free Adaptive Signal Enhancers for ECG Analysis of Wireless Cardiac Care Monitoring Systems.
IEEE Access, 2018
Efficient Pairing-Free Certificateless Authentication Scheme With Batch Verification for Vehicular Ad-Hoc Networks.
IEEE Access, 2018
2017
Cardiac signal enhancement using normalised variable step algorithm for remote healthcare monitoring systems.
Int. J. Medical Eng. Informatics, 2017
IEEE Access, 2017
2015
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015
2012
Efficient Artifact Elimination in Cardiac Signals using Variable Step Size Adaptive Noise Cancellers.
Int. J. Meas. Technol. Instrum. Eng., 2012
A Non-Linearities Based Noise Canceler for Cardiac Signal Enhancement in Wireless Health Care Monitoring.
Proceedings of the 2012 IEEE Global Humanitarian Technology Conference, 2012
2011
Efficient sign based normalized adaptive filtering techniques for cancelation of artifacts in ECG signals: Application to wireless biotelemetry.
Signal Process., 2011
2009
An Efficient Noise Cancellation Technique to Remove Noise from the ECG Signal Using Normalized Signed Regressor LMS Algorithm.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009