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Saeed Mian Qaisar
- > Home > Persons > Saeed Mian Qaisar
Publications
- 2024
- [j32]Abdulhamit Subasi, Saeed Mian Qaisar:
EEG-based emotion recognition using modified covariance and ensemble classifiers. J. Ambient Intell. Humaniz. Comput. 15(1): 575-591 (2024) - 2023
- [j31]Tehseen Ilahi, Tahir Izhar, Saeed Mian Qaisar, Umar Tabrez Shami, Muhammad Zahid, Asad Waqar, Ahmed Alzahrani:
Design and Performance Analysis of Ultra-Wide Bandgap Power Devices-Based EV Fast Charger Using Bi-Directional Power Converters. IEEE Access 11: 25285-25297 (2023) - [j30]Abdul Malik, Muhammad Zahid Khan, Saeed Mian Qaisar, Mohammad Faisal, Gulzar Mehmood:
An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs. IEEE Access 11: 46691-46706 (2023) - [j29]Imane Ait Ayad, Elmostafa Elwarraki, Syed Umaid Ali, Saeed Mian Qaisar, Asad Waqar, Mohamed Baghdadi, Ahmed Alzahrani:
Optimized Nonlinear Integral Backstepping Controller for DC-DC Three-Level Boost Converters. IEEE Access 11: 49794-49805 (2023) - [j28]Yasir Basheer, Saeed Mian Qaisar, Asad Waqar, Fahad Lateef, Ahmed Alzahrani:
Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro. IEEE Access 11: 81331-81347 (2023) - [j27]Ali Raza, Muhammad Zahid, Jinfu Chen, Saeed Mian Qaisar, Tehseen Ilahi, Asad Waqar, Ahmed Alzahrani:
A Novel Integration Technique for Optimal Location & Sizing of DG Units With Reconfiguration in Radial Distribution Networks Considering Reliability. IEEE Access 11: 123610-123624 (2023) - [j26]Usman Haider, Muhammad Waqas, Muhammad Hanif, Hisham Alasmary, Saeed Mian Qaisar:
Network load prediction and anomaly detection using ensemble learning in 5G cellular networks. Comput. Commun. 197: 141-150 (2023) - [j25]Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar:
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques. Inf. Fusion 92: 466-478 (2023) - [j24]Saeed Mian Qaisar, Syed Fawad Hussain:
An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection. J. Ambient Intell. Humaniz. Comput. 14(3): 1473-1487 (2023) - [j22]Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija:
Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment. J. King Saud Univ. Comput. Inf. Sci. 35(1): 13-25 (2023) - [j21]Saeed Mian Qaisar, Sibghatullah I. Khan, Kathiravan Srinivasan, Moez Krichen:
Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition. J. King Saud Univ. Comput. Inf. Sci. 35(1): 26-37 (2023) - [j19]Dalila Say, Salah Zidi, Saeed Mian Qaisar, Moez Krichen:
Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network. Sensors 23(14): 6422 (2023) - [j18]Erana Veerappa Dinesh Subramaniam, Kathiravan Srinivasan, Saeed Mian Qaisar, Pawel Plawiak:
Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems. Sensors 23(17): 7474 (2023) - [c24]Sibghatullah I. Khan, Saeed Mian Qaisar, Alberto López, Humaira Nisar, Francisco Ferrero:
EEG Signal based Schizophrenia Recognition by using VMD Rose Spiral Curve Butterfly Optimization and Machine Learning. I2MTC 2023: 1-6 - [c23]Alberto López, Saeed Mian Qaisar, Francisco Javier Ferrero, Humaira Nisar:
An Affordable EOG-based Application for Eye Dystonia Evaluation. I2MTC 2023: 1-5 - 2022
- [j17]Sibghatullah I. Khan, Saeed Mian Qaisar, Ram Bilas Pachori:
Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features. Biomed. Signal Process. Control. 73: 103445 (2022) - [j16]Syed Fawad Hussain, Saeed Mian Qaisar:
Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier. Expert Syst. Appl. 191: 116356 (2022) - [j15]Abdulhamit Subasi, Saeed Mian Qaisar:
Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition. J. Ambient Intell. Humaniz. Comput. 13(7): 3539-3554 (2022) - [j14]Saeed Mian Qaisar, Abdulhamit Subasi:
Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare. J. Ambient Intell. Humaniz. Comput. 13(7): 3619-3631 (2022) - [j13]Senthil Kumar Narayanasamy, Yuh-Chung Hu, Saeed Mian Qaisar, Kathiravan Srinivasan:
Effective Preprocessing and Normalization Techniques for COVID-19 Twitter Streams with POS Tagging via Lightweight Hidden Markov Model. J. Sensors 2022: 1-14 (2022) - [j12]Chaitanya Gupta, Ishita Johri, Kathiravan Srinivasan, Yuh-Chung Hu, Saeed Mian Qaisar, Kuo-Yi Huang:
A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks. Sensors 22(5): 2017 (2022) - [j11]Saeed Mian Qaisar, Nehal Alyamani, Asad Waqar, Moez Krichen:
Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification. SN Comput. Sci. 3(1): 14 (2022) - [j10]Saeed Mian Qaisar, Amal Essam ElDin AbdelGawad, Kathiravan Srinivasan:
Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery Capacity. SN Comput. Sci. 3(1): 15 (2022) - [c22]Saeed Mian Qaisar, Alberto López, Dominique Dallet, Francisco Javier Ferrero:
sEMG Signal based Hand Gesture Recognition by using Selective Subbands Coefficients and Machine Learning. I2MTC 2022: 1-6 - [c21]Alberto López, Francisco Javier Ferrero, Saeed Mian Qaisar, Octavian Postolache:
Gaussian Mixture Model of Saccadic Eye Movements. MeMeA 2022: 1-5 - 2021
- [j9]Saeed Mian Qaisar, Syed Fawad Hussain:
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. 203: 106034 (2021) - [j8]Saeed Mian Qaisar, Alaeddine Mihoub, Moez Krichen, Humaira Nisar:
Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. Sensors 21(4): 1511 (2021) - [c19]Saeed Mian Qaisar, Nehal Alyamani:
Adaptive Rate Sampling and Machine Learning Based Power Quality Disturbances Interpretation. EBCCSP 2021: 1-6 - [c18]Saeed Mian Qaisar, Amal Essam ElDin AbdelGawad:
Prediction of the Li-Ion Battery Capacity by Using Event-Driven Acquisition and Machine Learning. EBCCSP 2021: 1-6 - [c17]Saeed Mian Qaisar, Dominique Dallet:
ECG Noise Removal and Efficient Arrhythmia Identification Based on Effective Signal-Piloted Processing and Machine Learning. I2MTC 2021: 1-6 - 2020
- [j6]Saeed Mian Qaisar, Syed Fawad Hussain:
Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare. Sensors 20(8): 2252 (2020) - [c15]Saeed Mian Qaisar, Dominique Dallet, A. Alahdal, L. Baksh:
ECG Baseline Wander Removal via a Signal-Piloted Filtering. I2MTC 2020: 1-5 - [c14]Saeed Mian Qaisar, Moez Krichen, Fatma Jallouli:
Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis. ICOST 2020: 329-337 - 2019
- [c11]Saeed Mian Qaisar, S. Niazi, Dominique Dallet:
Adaptive Rate Signal Acquisition and Denoising For Efficient Mobile Systems. I2MTC 2019: 1-5 - [c10]Abdulhamit Subasi, Saeed Mian Qaisar, Malak T. Al-Nory, Khulood A. Rambo:
Intrusion Detection in Smart Grid Using Bagging Ensemble Classifiers. ISGT Europe 2019: 1-5 - 2017
- [c8]Saeed Mian Qaisar, Manel Ben-Romdhane, Omar Anwar, Mariam Tlili, Asma Maalej, Francois Rivet, Chiheb Rebai, Dominique Dallet:
Time-domain characterization of a wireless ECG system event driven A/D converter. I2MTC 2017: 1-6
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last updated on 2024-04-25 05:56 CEST by the dblp team
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