Parisa Khoshvaght

According to our database1, Parisa Khoshvaght authored at least 16 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

On csauthors.net:

Bibliography

2026
An environment-aware Q-learning-based trust evaluation scheme in Underwater Acoustic Sensor Networks (UASNs).
Comput. Stand. Interfaces, 2026

2025
A novel cylindrical filtering-based greedy perimeter stateless routing scheme in flying ad hoc networks.
Veh. Commun., 2025

Computational intelligence-based routing schemes in flying ad-hoc networks (FANETs): A review.
Veh. Commun., 2025

Optimizing task offloading with metaheuristic algorithms across cloud, fog, and edge computing networks: A comprehensive survey and state-of-the-art schemes.
Sustain. Comput. Informatics Syst., 2025

SDN-Based NFV deployment for multi-objective resource allocation in edge computing: A deep reinforcement learning for iot workload scheduling.
Sustain. Comput. Informatics Syst., 2025

A multi-objective deep reinforcement learning algorithm for spatio-temporal latency optimization in mobile IoT-enabled edge computing networks.
Simul. Model. Pract. Theory, 2025

H-TERF: A hybrid approach combining fuzzy multi-criteria decision-making techniques and enhanced random forest to improve WBAN-IoT.
Internet Things, 2025

SFGCN: Synergetic fusion-based graph convolutional networks approach for link prediction in social networks.
Inf. Fusion, 2025

An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks.
Eng. Appl. Artif. Intell., 2025

An intelligent fuzzy logic based-trust system in underwater acoustic sensor networks.
Eng. Appl. Artif. Intell., 2025

A routing approach based on combination of gray wolf clustering and fuzzy clustering and using multi-criteria decision making approaches for WSN-IoT.
Comput. Electr. Eng., 2025

An optimizing geo-distributed edge layering with double deep Q-networks for predictive mobility-aware offloading in mobile edge computing.
Ad Hoc Networks, 2025

A self-supervised deep reinforcement learning for Zero-Shot Task scheduling in mobile edge computing environments.
Ad Hoc Networks, 2025

A Q-learning-based trust model in underwater acoustic sensor networks (UASNs).
Ad Hoc Networks, 2025

2024
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies.
CoRR, 2024

A Model for Epileptic Seizure Diagnosis Using the Combination of Ensemble Learning and Deep Learning.
IEEE Access, 2024


  Loading...