Amir Rehman

Orcid: 0000-0001-6886-5084

According to our database1, Amir Rehman authored at least 13 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction.
BMC Bioinform., December, 2025

The maximum spectral radius of graphs of even size forbidding {H(3, 3), H(4, 3)}.
Comput. Appl. Math., September, 2025

The spectral Turán problem about graphs of given size with forbidden subgraphs.
AKCE Int. J. Graphs Comb., 2025

2024
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine.
Knowl. Based Syst., 2024

Cost-aware quantum-inspired genetic algorithm for workflow scheduling in hybrid clouds.
J. Parallel Distributed Comput., 2024

An electricity price and energy-efficient workflow scheduling in geographically distributed cloud data centers.
J. King Saud Univ. Comput. Inf. Sci., 2024

A gradual approach to knowledge distillation in deep supervised hashing for large-scale image retrieval.
Comput. Electr. Eng., 2024

FedCSCD-GAN: A secure and collaborative framework for clinical cancer diagnosis via optimized federated learning and GAN.
Biomed. Signal Process. Control., 2024

2023
Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives.
Biomed. Signal Process. Control., May, 2023

Automatic Intelligent Chronic Kidney Disease Detection in Healthcare 5.0.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

2022
Deadline-constrained energy-aware workflow scheduling in geographically distributed cloud data centers.
Future Gener. Comput. Syst., 2022

An Efficient Supervised Deep Hashing Method for Image Retrieval.
Entropy, 2022

A multi-objective quantum-inspired genetic algorithm for workflow healthcare application scheduling with hard and soft deadline constraints in hybrid clouds.
Appl. Soft Comput., 2022


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