An improved statistical representation for ECG electrode movement and muscular activity noises in the context of T-wave alternan estimation. - Asim Dilawer Bakhshi; Sajid Bashir; Mohammad Ali Maud (Biomed. Signal Process. Control., 2013)

Non-linear trend estimation of cardiac repolarization using wavelet thresholding for improved T-wave alternans analysis. - Asim Dilawer Bakhshi; Sajid Bashir; Syed Ismail Shah; Mohammad Ali Maud (Digit. Signal Process., 2013)

Application of continuous-time wavelet entropy for detection of cardiac repolarisation alternans. - Asim Dilawer Bakhshi; Sajid Bashir; Asim Loan; Mohammad Ali Maud (IET Signal Process., 2013)

A template matched-filter based scheme for detection and estimation of t-wave alternans. - Sajid Bashir; Asim Dilawer Bakhshi; Mohammad Ali Maud (Biomed. Signal Process. Control., 2014)

Empirical Mode Decomposition Template Matched Filter for Detection and Estimation of T-Wave Alternans. - Asim D. Bakhshi; Muhammad Latif; Sajid Bashir; Hafiz Munsub Ali (CinC, 2016)

Composite filtering strategy for improving distortion invariance in object recognition. - Ahmed Bilal Awan; Saad Rehman; Asim D. Bakhshi (IET Image Process., 2018)

An empirical mode decomposition based detection theoretic strategy for T-wave alternans analysis. - Asim D. Bakhshi; Muhammad Latif; Sajid Bashir (Biomed. Signal Process. Control., 2019)

An Application of Peircean Triadic Logic: Modelling Vagueness. - Asim Raza; Asim D. Bakhshi; Basit Bilal Koshul (J. Log. Lang. Inf., 2019)

GDTF: Generalized Detection Theoretic Framework for T-Wave Alternans Analysis. - Ehsan Ullah; Asim Dilawer Bakhshi; Muhammad Majid (IEEE Access, 2020)

Intrusion Detection System for SDN-enabled IoT Networks using Machine Learning Techniques. - Javed Ashraf; Nour Moustafa; Asim D. Bakhshi; Abdullah Javed (EDOC Workshops, 2021)

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems. - Javed Ashraf; Asim D. Bakhshi; Nour Moustafa; Hasnat Khurshid; Abdullah Javed; Amin Beheshti (IEEE Trans. Intell. Transp. Syst., 2021)

GA-based geometrically optimized topology robustness to improve ambient intelligence for future internet of things. - Sabir Ali Changazi; Asim Dilawar Bakhshi; Muhammad Yousaf; Muhammad Hasan Islam; Syed Muhammad Mohsin; Shahab S. Band; Abdulmajeed Alsufyani; Sami Bourouis (Comput. Commun., 2022)

Medical image fusion using non subsampled contourlet transform and iterative joint filter. - M. Munawwar Iqbal Ch; Abdul Ghafoor; Asim Dilawer Bakhshi; Nuwayrah Jawaid Saghir (Multim. Tools Appl., 2022)

Optimization of network topology robustness in IoTs: A systematic review. - Sabir Ali Changazi; Asim Dilawar Bakhshi; Muhammad Yousaf; Syed Muhammad Mohsin; Syed Muhammad Abrar Akber; Mohammed B. Abazeed; Mohammed Ali (Comput. Networks, 2024)

A deep learning-based framework for object recognition in ecological environments with dense focal loss and occlusion. - Muhammad Munir Afsar; Asim Dilawar Bakhshi; Ejaz Hussain; Javed Iqbal (Neural Comput. Appl., 2024)

High-Precision Mango Orchard Mapping Using a Deep Learning Pipeline Leveraging Object Detection and Segmentation. - Muhammad Munir Afsar; Asim Dilawar Bakhshi; Muhammad Shahid Iqbal; Ejaz Hussain; Javed Iqbal (Remote. Sens., 2024)

AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers. - Muhammad Sajid; Ali Hassan 001; Dilshad Ahmed Khan; Shoab Ahmed Khan; Asim Dilawar Bakhshi; Muhammad Usman Akram; Mishal Babar; Farhan Hussain; Wadood Abdul (IEEE J. Biomed. Health Informatics, 2024)

AI-CADS: An Artificial Intelligence based framework for automatic early detection and severity evaluation of coronary artery disease. - Muhammad Sajid; Ali Hassan 001; Dilshad Ahmed Khan; Shoab Ahmed Khan; Asim Dilawar Bakhshi; Sayed Tanveer Abbas Gilani; Muhammad Usman Akram; Mustansar Ali Ghazanfar (Biomed. Signal Process. Control., 2025)