Strategic Information Systems Alignment: Alignment of IS/IT with Business Strategy. - Abdisalam Issa-Salwe; Munir Ahmed; Khalid S. Aloufi; Muhammad Kabir (J. Inf. Process. Syst., 2010)

Wave-based transient analysis using block Newton-Jacobi. - Muhammad Kabir; Carlos Christoffersen (CCECE, 2011)

Passive Reduced Order Macromodeling Based on Admittance Parameter Using Hamiltonian-Symplectic Matrix Pencil Perturbation. - Yi Qing Xiao; Muhammad Kabir; Marco T. Kassis; Roni Khazaka (ICUWB, 2015)

iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition. - Muhammad Kabir; Muhammad Iqbal; Saeed Ahmad; Maqsood Hayat (Comput. Biol. Medicine, 2015)

Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC. - Saeed Ahmad; Muhammad Kabir; Maqsood Hayat (Comput. Methods Programs Biomed., 2015)

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix. - Muhammad Waris; Khurshid Ahmad; Muhammad Kabir; Maqsood Hayat (Neurocomputing, 2016)

Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition. - Muhammad Tahir 007; Maqsood Hayat; Muhammad Kabir (Comput. Methods Programs Biomed., 2017)

Improving secretory proteins prediction in Mycobacterium tuberculosis using the unbiased dipeptide composition with support vector machine. - Saeed Ahmed; Muhammad Kabir; Muhammad Arif 012; Zakir Ali; Farman Ali 002; Zar Nawab Khan Swati (Int. J. Data Min. Bioinform., 2018)

Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning. - Zar Nawab Khan Swati; Qinghua Zhao; Muhammad Kabir; Farman Ali 002; Zakir Ali; Saeed Ahmed; Jianfeng Lu 003 (IEEE Access, 2019)

Brain tumor classification for MR images using transfer learning and fine-tuning. - Zar Nawab Khan Swati; Qinghua Zhao; Muhammad Kabir; Farman Ali 002; Zakir Ali; Saeed Ahmed; Jianfeng Lu 003 (Comput. Medical Imaging Graph., 2019)

DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. - Muhammad Arif 012; Muhammad Kabir; Saeed Ahmed; Abid Khan; Fang Ge; Adel Khelifi; Dong-Jun Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest. - Mehwish Gill; Saeed Ahmed; Muhammad Kabir; Maqsood Hayat (Inf., 2023)