Qazi Emad-ul-Haq
Orcid: 0000-0003-1448-3632
According to our database1,
Qazi Emad-ul-Haq
authored at least 20 papers
between 2015 and 2023.
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Bibliography
2023
A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing.
Neural Comput. Appl., July, 2023
Emotion Recognition System Based on Two-Level Ensemble of Deep-Convolutional Neural Network Models.
IEEE Access, 2023
2022
Illumination invariant face recognition using contourlet transform and convolutional neural network.
J. Intell. Fuzzy Syst., 2022
Comput. Electr. Eng., 2022
An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers.
IEEE Access, 2022
2021
Proceedings of the ICC 2021, 2021
2020
Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids.
Entropy, 2020
2019
An efficient intelligent system for the classification of electroencephalography (EEG) brain signals using nuclear features for human cognitive tasks.
J. Intell. Fuzzy Syst., 2019
Alignment-Free Cross-Sensor Fingerprint Matching based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor.
CoRR, 2019
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models.
CoRR, 2019
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents.
CoRR, 2019
Alignment-Free Cross-Sensor Fingerprint Matching Based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor.
IEEE Access, 2019
2018
An automated system for epilepsy detection using EEG brain signals based on deep learning approach.
Expert Syst. Appl., 2018
2016
A System for True and False Memory Prediction Based on 2D and 3D Educational Contents and EEG Brain Signals.
Comput. Intell. Neurosci., 2016
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016
2015
KSII Trans. Internet Inf. Syst., 2015
A system based on 3D and 2D educational contents for true and false memory prediction using EEG signals.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015