Ahmad Ali

Orcid: 0009-0000-9631-2161

Affiliations:
  • Shenzhen University, Shenzhen, China


According to our database1, Ahmad Ali authored at least 12 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Exploiting attention-driven weather-aware multimodal spatio-temporal fusion for urban traffic flow prediction.
Future Gener. Comput. Syst., 2026

Advanced computational models for urban traffic flow prediction: A comprehensive review and future directions.
Comput. Sci. Rev., 2026

SingSprite: Non-Tactile Appliance Interaction for the Blind through Power-Supply Acoustic Signatures.
Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems, 2026

2025
An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems.
IEEE Trans. Intell. Transp. Syst., September, 2025

Attention-Driven Graph Convolutional Networks for Deadline-Constrained Virtual Machine Task Allocation in Edge Computing.
IEEE Trans. Consumer Electron., May, 2025

Fuzzy adaptive control for consensus tracking in multiagent systems with incommensurate fractional-order dynamics: Application to power systems.
Inf. Sci., 2025

Energy-Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge-Cloud Computing.
Int. J. Intell. Syst., 2025

Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network.
Expert Syst. Appl., 2025

2024
Revolutionizing E-Commerce With Consumer-Driven Energy-Efficient WSNs: A Multi-Characteristics Approach.
IEEE Trans. Consumer Electron., November, 2024

A Resource-Aware Multi-Graph Neural Network for Urban Traffic Flow Prediction in Multi-Access Edge Computing Systems.
IEEE Trans. Consumer Electron., November, 2024

PH-GCN: Boosting Human Action Recognition Through Multi-Level Granularity With Pair-Wise Hyper GCN.
IEEE Access, 2024

Enhanced Unscented Kalman Filter for Accurate State of Charge Estimation in Aerial Drone Lithium-Ion Batteries.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024


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