Salman Khan

Orcid: 0000-0002-2905-1755

Affiliations:
  • Abdul Wali Khan University Mardan, Department of Computer Science, Pakistan


According to our database1, Salman Khan authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration.
BMC Bioinform., December, 2024

PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features.
BMC Bioinform., December, 2024

Design of load-aware resource allocation for heterogeneous fog computing systems.
PeerJ Comput. Sci., 2024

Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem.
IEEE Access, 2024

Sequence-Based Intelligent Model for Identification of Tumor T Cell Antigens Using Fusion Features.
IEEE Access, 2024

2022
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.
Artif. Intell. Medicine, 2022

2021
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model.
Comput. Biol. Medicine, 2021

iEnhancer-DHF: Identification of Enhancers and Their Strengths Using Optimize Deep Neural Network With Multiple Features Extraction Methods.
IEEE Access, 2021

2020
Spark-Based Parallel Deep Neural Network Model for Classification of Large Scale RNAs into piRNAs and Non-piRNAs.
IEEE Access, 2020

2019
Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method.
Soft Comput., 2019

Computational model for the recognition of lower limb movement using wearable gyroscope sensor.
Int. J. Sens. Networks, 2019

Application of Parallel Vector Space Model for Large-Scale DNA Sequence Analysis.
J. Grid Comput., 2019

2017
Computational Performance Analysis of Cluster-based Technologies for Big Data Analytics.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017


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