Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2013)

EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2013)

On Detection and Prevention of Clickjacking Attack for OSNs. - Ubaid Ur Rehman 002; Waqas Ahmad Khan; Nazar Abbas Saqib; Muhammad Kaleem (FIT, 2013)

A variation of empirical mode decomposition with intelligent peak selection in short time windows. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (ICASSP, 2013)

Pathological speech signal analysis and classification using empirical mode decomposition. - Muhammad Kaleem; Behnaz Ghoraani; Aziz Guergachi; Sridhar Krishnan 001 (Medical Biol. Eng. Comput., 2013)

Hierarchical decomposition based on a variation of empirical mode decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Signal Image Video Process., 2017)

Patient-specific seizure detection in long-term EEG using wavelet decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Biomed. Signal Process. Control., 2018)

Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Frontiers Digit. Health, 2021)

EEG-based seizure prediction with machine learning. - Muhammad Mateen Qureshi; Muhammad Kaleem (Signal Image Video Process., 2023)

A Machine Learning-Based Adaptive Feedback System to Enhance Programming Skill Using Computational Thinking. - Muhammad Kaleem; Muhammad Awais Hassan; Syed Khaldoon Khurshid (IEEE Access, 2024)