Effective and scalable clustering of SARS-CoV-2 sequences. - Sarwan Ali; Tamkanat E. Ali; Muhammad Asad Khan; Imdadullah Khan; Murray Patterson (CoRR, 2021)

A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. - Sarwan Ali; Tamkanat E. Ali; Prakash Chourasia; Murray Patterson (PKDD (4), 2024)

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging. - Prakash Chourasia; Tamkanat E. Ali; Sarwan Ali; Murray Patterson (CoRR, 2024)

Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy. - Sarwan Ali; Tamkanat E. Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2024)

Molecular sequence classification using efficient kernel based embedding. - Sarwan Ali; Tamkanat E. Ali; Taslim Murad; Haris Mansoor; Murray Patterson (Inf. Sci., 2024)

Hilbert Curve Based Molecular Sequence Analysis. - Sarwan Ali; Tamkanat E. Ali; Imdad Ullah Khan; Murray Patterson (PAKDD (2), 2025)

Hist2Vec: A histogram and kernel-based embedding method for molecular sequence analysis. - Sarwan Ali; Tamkanat E. Ali; Haris Mansoor; Prakash Chourasia; Murray Patterson (Expert Syst. Appl., 2025)

Hash-binding: DNA-protein binding prediction using hashing-based embedding. - Sarwan Ali; Tamkanat E. Ali; Murray Patterson (Neural Comput. Appl., 2025)