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Ashfaq Ahmad

Researcher at Abdul Wali Khan University Mardan

Publications -  9
Citations -  162

Ashfaq Ahmad is an academic researcher from Abdul Wali Khan University Mardan. The author has contributed to research in topics: Computer science & Differential equation. The author has an hindex of 4, co-authored 9 publications receiving 58 citations.

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Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks

TL;DR: The proposed “Deep-AntiFP” outperformed and reported the highest performance than the existing computational models, and it is expected that the developed model may be played a useful role in research academia as well as proteomics and drug development.
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Hybridized Symbiotic Organism Search Algorithm for the Optimal Operation of Directional Overcurrent Relays

TL;DR: This paper presents the solution of directional overcurrent relay (DOCR) problems using Simulated Annealing based Symbiotic Organism Search (SASOS), and the obtained results are compared with other algorithms available in the literature.
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iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

TL;DR: Farman et al. as mentioned in this paper used an ensemble learning approach to improve expected results by compensating for the shortcomings of individual classification algorithms, which achieved an accuracy of 94.47% and 92.68%, respectively.
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Identification of antioxidant proteins using a discriminative intelligent model of k-space amino acid pairs based descriptors incorporating with ensemble feature selection

TL;DR: It was found that the proposed model outperformed and reported the highest performance than the existing computational models, and may be played a useful role in research academia as well as proteomics and drug development.
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Design of an efficient algorithm for solution of Bratu differential equations

TL;DR: A soft computing technique using an efficient meta-heuristic the Symbiotic Organism Search (SOS) algorithm and Artificial neural network (ANN) architecture to obtain better solutions for Bratu differential equations by utilizing fewer computational resources and minimal time is suggested.