Spectral analysis of a signal driven sampling scheme. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (EUSIPCO, 2006)

Computationally efficient adaptive rate sampling and filtering. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (EUSIPCO, 2007)

Adaptive Rate Filtering Fora Signal Driven Sampling Scheme. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (ICASSP (3), 2007)

An Adaptive Resolution Computationally Efficient Short-Time Fourier Transform. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (J. Electr. Comput. Eng., 2008)

Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (EURASIP J. Adv. Signal Process., 2009)

An FPGA Based Resources Efficient Solution for the OmniVision Digital VGA Cameras Family. - Elmar Yusifli; Reda Yahiaoui; Saeed Mian Qaisar; Tijani Gharbi (HPCC/CSS/ICESS, 2014)

Adaptive rate filtering a computationally efficient signal processing approach. - Saeed Mian Qaisar; Laurent Fesquet; Marc Renaudin (Signal Process., 2014)

An event driven technique for filtering computational complexity reduction. - Saeed Mian Qaisar (EBCCSP, 2015)

Asynchronous implementation of an event-driven adaptive FIR filter. - Taha Beyrouthy; Ahmed Roshdy; Mohammad Salman; Saeed Mian Qaisar; Laurent Fesquet (EBCCSP, 2016)

An error measurement for resampled level crossing signal. - Saeed Mian Qaisar; Mohammad Akbar; Taha Beyrouthy; Wadee Al-Halabi; Mohammad Asmatulah (EBCCSP, 2016)

High-level synthesis of an event-driven windowing process. - Saeed Mian Qaisar; Jean Simatic; Laurent Fesquet (EBCCSP, 2017)

Time-domain characterization of a wireless ECG system event driven A/D converter. - Saeed Mian Qaisar; Manel Ben-Romdhane; Omar Anwar; Mariam Tlili; Asma Maalej; Francois Rivet; Chiheb Rebai; Dominique Dallet (I2MTC, 2017)

Offset compensated baseline restoration and computationally efficient hybrid interpolation for the brain PET. - Saeed Mian Qaisar (Bio Algorithms Med Syst., 2018)

Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach. - Michael Lunglmayr; Saeed Mian Qaisar; Bernhard Alois Moser (EBCCSP, 2019)

An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters. - Saeed Mian Qaisar; S. Laskar; Michael Lunglmayr; Bernhard Alois Moser; R. Abdulbaqi; R. Banafia (EBCCSP, 2019)

Adaptive Rate Signal Acquisition and Denoising For Efficient Mobile Systems. - Saeed Mian Qaisar; S. Niazi; Dominique Dallet (I2MTC, 2019)

Intrusion Detection in Smart Grid Using Bagging Ensemble Classifiers. - Abdulhamit Subasi; Saeed Mian Qaisar; Malak T. Al-Nory; Khulood A. Rambo (ISGT Europe, 2019)

Efficient mobile systems based on adaptive rate signal processing. - Saeed Mian Qaisar (Comput. Electr. Eng., 2019)

An Effective QRS Selection Based on the Level-Crossing Sampling and Activity Selection. - Saeed Mian Qaisar; Laurent Fesquet (EBCCSP, 2020)

ECG Baseline Wander Removal via a Signal-Piloted Filtering. - Saeed Mian Qaisar; Dominique Dallet; A. Alahdal; L. Baksh (I2MTC, 2020)

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis. - Saeed Mian Qaisar; Moez Krichen; Fatma Jallouli (ICOST, 2020)

Arrhythmia Diagnosis by Using Level-Crossing ECG Sampling and Sub-Bands Features Extraction for Mobile Healthcare. - Saeed Mian Qaisar; Syed Fawad Hussain (Sensors, 2020)

Adaptive Rate Sampling and Machine Learning Based Power Quality Disturbances Interpretation. - Saeed Mian Qaisar; Nehal Alyamani (EBCCSP, 2021)

Prediction of the Li-Ion Battery Capacity by Using Event-Driven Acquisition and Machine Learning. - Saeed Mian Qaisar; Amal Essam ElDin AbdelGawad (EBCCSP, 2021)

ECG Noise Removal and Efficient Arrhythmia Identification Based on Effective Signal-Piloted Processing and Machine Learning. - Saeed Mian Qaisar; Dominique Dallet (I2MTC, 2021)

Effective epileptic seizure detection by using level-crossing EEG sampling sub-bands statistical features selection and machine learning for mobile healthcare. - Saeed Mian Qaisar; Syed Fawad Hussain (Comput. Methods Programs Biomed., 2021)

Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals. - Hamid Mukhtar; Saeed Mian Qaisar; Atef Zaguia (Sensors, 2021)

Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification. - Saeed Mian Qaisar; Alaeddine Mihoub; Moez Krichen; Humaira Nisar (Sensors, 2021)

sEMG Signal based Hand Gesture Recognition by using Selective Subbands Coefficients and Machine Learning. - Saeed Mian Qaisar; Alberto López; Dominique Dallet; Francisco Javier Ferrero 001 (I2MTC, 2022)

Gaussian Mixture Model of Saccadic Eye Movements. - Alberto López; Francisco Javier Ferrero 001; Saeed Mian Qaisar; Octavian Postolache (MeMeA, 2022)

Power Quality Disturbances Classification Based on the Machine Learning Algorithms. - Omnia Sameer Alghazi; Saeed Mian Qaisar (RIIFORUM, 2022)

Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features. - Sibghatullah I. Khan; Saeed Mian Qaisar; Ram Bilas Pachori (Biomed. Signal Process. Control., 2022)

Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier. - Syed Fawad Hussain; Saeed Mian Qaisar (Expert Syst. Appl., 2022)

Effective epileptic seizure detection based on the event-driven processing and machine learning for mobile healthcare. - Saeed Mian Qaisar; Abdulhamit Subasi (J. Ambient Intell. Humaniz. Comput., 2022)

Surface EMG signal classification using TQWT, Bagging and Boosting for hand movement recognition. - Abdulhamit Subasi; Saeed Mian Qaisar (J. Ambient Intell. Humaniz. Comput., 2022)

Effective Preprocessing and Normalization Techniques for COVID-19 Twitter Streams with POS Tagging via Lightweight Hidden Markov Model. - Senthil Kumar Narayanasamy; Yuh-Chung Hu; Saeed Mian Qaisar; Kathiravan Srinivasan (J. Sensors, 2022)

A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks. - Chaitanya Gupta; Ishita Johri; Kathiravan Srinivasan; Yuh-Chung Hu; Saeed Mian Qaisar; Kuo-Yi Huang (Sensors, 2022)

Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery Capacity. - Saeed Mian Qaisar; Amal Essam ElDin AbdelGawad; Kathiravan Srinivasan (SN Comput. Sci., 2022)

Machine Learning with Adaptive Rate Processing for Power Quality Disturbances Identification. - Saeed Mian Qaisar; Nehal Alyamani; Asad Waqar; Moez Krichen (SN Comput. Sci., 2022)

EEG Signal based Schizophrenia Recognition by using VMD Rose Spiral Curve Butterfly Optimization and Machine Learning. - Sibghatullah I. Khan; Saeed Mian Qaisar; Alberto López; Humaira Nisar; Francisco Ferrero 001 (I2MTC, 2023)

An Affordable EOG-based Application for Eye Dystonia Evaluation. - Alberto López; Saeed Mian Qaisar; Francisco Javier Ferrero 001; Humaira Nisar (I2MTC, 2023)

Deep Reinforcement Learning for Multiobjective Scheduling in Industry 5.0 Reconfigurable Manufacturing Systems. - Madani Bezoui; Abdelfatah Kermali; Ahcène Bounceur; Saeed Mian Qaisar; Abdulaziz T. Almaktoom (MLN, 2023)

Optimized Nonlinear Integral Backstepping Controller for DC-DC Three-Level Boost Converters. - Imane Ait Ayad; Elmostafa Elwarraki; Syed Umaid Ali; Saeed Mian Qaisar; Asad Waqar; Mohamed Baghdadi; Ahmed Alzahrani 006 (IEEE Access, 2023)

Investigating the Optimal DOD and Battery Technology for Hybrid Energy Generation Models in Cement Industry Using HOMER Pro. - Yasir Basheer; Saeed Mian Qaisar; Asad Waqar; Fahad Lateef; Ahmed Alzahrani 006 (IEEE Access, 2023)

Design and Performance Analysis of Ultra-Wide Bandgap Power Devices-Based EV Fast Charger Using Bi-Directional Power Converters. - Tehseen Ilahi; Tahir Izhar; Saeed Mian Qaisar; Umar Tabrez Shami; Muhammad Zahid; Asad Waqar; Ahmed Alzahrani 006 (IEEE Access, 2023)

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs. - Abdul Malik; Muhammad Zahid Khan; Saeed Mian Qaisar; Mohammad Faisal; Gulzar Mehmood (IEEE Access, 2023)

A Novel Integration Technique for Optimal Location & Sizing of DG Units With Reconfiguration in Radial Distribution Networks Considering Reliability. - Ali Raza; Muhammad Zahid; Jinfu Chen 003; Saeed Mian Qaisar; Tehseen Ilahi; Asad Waqar; Ahmed Alzahrani 006 (IEEE Access, 2023)

Network load prediction and anomaly detection using ensemble learning in 5G cellular networks. - Usman Haider; Muhammad Waqas 001; Muhammad Hanif 001; Hisham Alasmary; Saeed Mian Qaisar (Comput. Commun., 2023)

Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition. - Saeed Mian Qaisar; Sibghatullah I. Khan; Kathiravan Srinivasan; Moez Krichen (J. King Saud Univ. Comput. Inf. Sci., 2023)

Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment. - Salah Zidi; Alaeddine Mihoub; Saeed Mian Qaisar; Moez Krichen; Qasem Abu Al-Haija (J. King Saud Univ. Comput. Inf. Sci., 2023)

An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection. - Saeed Mian Qaisar; Syed Fawad Hussain (J. Ambient Intell. Humaniz. Comput., 2023)

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques. - Fatima Hassan; Syed Fawad Hussain; Saeed Mian Qaisar (Inf. Fusion, 2023)

Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network. - Dalila Say; Salah Zidi; Saeed Mian Qaisar; Moez Krichen (Sensors, 2023)

Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems. - Erana Veerappa Dinesh Subramaniam; Kathiravan Srinivasan; Saeed Mian Qaisar; Pawel Plawiak (Sensors, 2023)

EEG based stress classification by using difference plots of variational modes and machine learning. - Nilima Salankar; Saeed Mian Qaisar (J. Ambient Intell. Humaniz. Comput., 2023)

Satellite Imagery-Based Cloud Classification Using Deep Learning. - Rukhsar Yousaf; Hafiz Zia Ur Rehman; Khurram Khan; Zeashan Hameed Khan; Adnan Fazil; Zahid Mahmood; Saeed Mian Qaisar; Abdul Jabbar Siddiqui (Remote. Sens., 2023)

Electrooculogram Compression based on Wavelet Packet Decomposition. - Alberto López; Saeed Mian Qaisar; Francisco Ferrero 001; Réda Yahiaoui (I2MTC, 2024)

Appliances Load Pattern Reconstruction from Adaptive Delta-Driven Sampled Smart Meter Data. - Saeed Mian Qaisar; Alberto López; Omar Kitanneh; Francisco Ferrero 001 (I2MTC, 2024)

Comparative Analysis of Deep Learning Architectures for Blood Cancer Classification. - Saad Ahmed Syed; Humaira Nisar; Lee Yu Jen; Saeed Mian Qaisar; Shahnawaz Talpur (ICSIPA, 2024)

EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare. - Usman Haider; Muhammad Hanif 001; Ahmar Rashid; Saeed Mian Qaisar; Abdulhamit Subasi (Biomed. Signal Process. Control., 2024)

EEG-based emotion recognition using modified covariance and ensemble classifiers. - Abdulhamit Subasi; Saeed Mian Qaisar (J. Ambient Intell. Humaniz. Comput., 2024)

Enabling Trust in Automotive IoT: Lightweight Mutual Authentication Scheme for Electronic Connected Devices in Internet of Things. - Muhammad Nawaz Khan; Haseeb Ur Rahman; Tariq Hussain; Bailin Yang; Saeed Mian Qaisar (IEEE Trans. Consumer Electron., 2024)

Image Similarity Assessment Using Node Degree Distribution. - Shanzay Alam; Misha Fakhar; Fatima Khalid; Saeed Mian Qaisar; Usman Haider (ICIT, 2025)

Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI. - Reeda Saeed; Shahab U. Ansari; Muhammad Hanif 001; Kamran Javed; Usman Haider; Iffat Maab; Saeed Mian Qaisar; Pawel Plawiak (IEEE Access, 2025)

A memetic method for solving portfolio optimization problem under cardinality, quantity, and pre-assignment constraints. - Sara Regaigui; Madani Bezoui; Mustapha Moulaï; Saeed Mian Qaisar (Appl. Soft Comput., 2025)

EOG compression in polysomnographic recordings based on the Lempel-Ziv-Welch algorithm. - Alberto López; Gonzalo García; Saeed Mian Qaisar; Francisco Javier Ferrero 001; Juan Carlos Álvarez (Biomed. Signal Process. Control., 2025)