Saeed Mian Qaisar

Orcid: 0000-0002-4268-3482

According to our database1, Saeed Mian Qaisar authored at least 61 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
EEG-based emotion recognition using modified covariance and ensemble classifiers.
J. Ambient Intell. Humaniz. Comput., January, 2024

EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare.
Biomed. Signal Process. Control., 2024

Comparative Analysis of Deep Learning Architectures for Blood Cancer Classification.
Proceedings of the 8th IEEE International Conference on Signal and Image Processing Applications, 2024

Appliances Load Pattern Reconstruction from Adaptive Delta-Driven Sampled Smart Meter Data.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Electrooculogram Compression based on Wavelet Packet Decomposition.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Satellite Imagery-Based Cloud Classification Using Deep Learning.
Remote. Sens., December, 2023

EEG based stress classification by using difference plots of variational modes and machine learning.
J. Ambient Intell. Humaniz. Comput., December, 2023

Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems.
Sensors, September, 2023

Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network.
Sensors, July, 2023

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques.
Inf. Fusion, April, 2023

An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection.
J. Ambient Intell. Humaniz. Comput., March, 2023

Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

Network load prediction and anomaly detection using ensemble learning in 5G cellular networks.
Comput. Commun., 2023

A Novel Integration Technique for Optimal Location & Sizing of DG Units With Reconfiguration in Radial Distribution Networks Considering Reliability.
IEEE Access, 2023

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs.
IEEE Access, 2023

Design and Performance Analysis of Ultra-Wide Bandgap Power Devices-Based EV Fast Charger Using Bi-Directional Power Converters.
IEEE Access, 2023

Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro.
IEEE Access, 2023

Optimized Nonlinear Integral Backstepping Controller for DC-DC Three-Level Boost Converters.
IEEE Access, 2023

Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems.
Proceedings of the Machine Learning for Networking - 6th International Conference, 2023

An Affordable EOG-based Application for Eye Dystonia Evaluation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

EEG Signal based Schizophrenia Recognition by using VMD Rose Spiral Curve Butterfly Optimization and Machine Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification.
SN Comput. Sci., 2022

Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery Capacity.
SN Comput. Sci., 2022

A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks.
Sensors, 2022

Effective Preprocessing and Normalization Techniques for COVID-19 Twitter Streams with POS Tagging via Lightweight Hidden Markov Model.
J. Sensors, 2022

Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition.
J. Ambient Intell. Humaniz. Comput., 2022

Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare.
J. Ambient Intell. Humaniz. Comput., 2022

Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier.
Expert Syst. Appl., 2022

Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features.
Biomed. Signal Process. Control., 2022

Power Quality Disturbances Classification Based on the Machine Learning Algorithms.
Proceedings of the Research and Innovation Forum 2022: Rupture, 2022

Gaussian Mixture Model of Saccadic Eye Movements.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

sEMG Signal based Hand Gesture Recognition by using Selective Subbands Coefficients and Machine Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021
Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification.
Sensors, 2021

Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals.
Sensors, 2021

Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare.
Comput. Methods Programs Biomed., 2021

ECG Noise Removal and Efficient Arrhythmia Identification Based on Effective Signal-Piloted Processing and Machine Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Prediction of the Li-Ion Battery Capacity by Using Event-Driven Acquisition and Machine Learning.
Proceedings of the 7th International Conference on Event-Based Control, 2021

Adaptive Rate Sampling and Machine Learning Based Power Quality Disturbances Interpretation.
Proceedings of the 7th International Conference on Event-Based Control, 2021

2020
Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare.
Sensors, 2020

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

ECG Baseline Wander Removal via a Signal-Piloted Filtering.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

An Effective QRS Selection Based on the Level-Crossing Sampling and Activity Selection.
Proceedings of the 6th International Conference on Event-Based Control, 2020

2019
Efficient mobile systems based on adaptive rate signal processing.
Comput. Electr. Eng., 2019

Intrusion Detection in Smart Grid Using Bagging Ensemble Classifiers.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Adaptive Rate Signal Acquisition and Denoising For Efficient Mobile Systems.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters.
Proceedings of the 5th International Conference on Event-Based Control, 2019

Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach.
Proceedings of the 5th International Conference on Event-Based Control, 2019

2018
Offset compensated baseline restoration and computationally efficient hybrid interpolation for the brain PET.
Bio Algorithms Med Syst., 2018

2017
Time-domain characterization of a wireless ECG system event driven A/D converter.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

High-level synthesis of an event-driven windowing process.
Proceedings of the 3rd International Conference on Event-Based Control, 2017

2016
An error measurement for resampled level crossing signal.
Proceedings of the Second International Conference on Event-based Control, 2016

Asynchronous implementation of an event-driven adaptive FIR filter.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
An event driven technique for filtering computational complexity reduction.
Proceedings of the International Conference on Event-based Control, 2015

2014
Adaptive rate filtering a computationally efficient signal processing approach.
Signal Process., 2014

An FPGA Based Resources Efficient Solution for the OmniVision Digital VGA Cameras Family.
Proceedings of the 2014 IEEE International Conference on High Performance Computing and Communications, 2014

2009
Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling.
EURASIP J. Adv. Signal Process., 2009

2008
An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform.
J. Electr. Comput. Eng., 2008

2007
Adaptive Rate Filtering Fora Signal Driven Sampling Scheme.
Proceedings of the IEEE International Conference on Acoustics, 2007

Computationally efficient adaptive rate sampling and filtering.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Spectral analysis of a signal driven sampling scheme.
Proceedings of the 14th European Signal Processing Conference, 2006


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