Parisa Khoshvaght

According to our database, Parisa Khoshvaght authored at least 23 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A survey of chameleon swarm algorithm and its variants: recent developments, structural review, meta-analysis, and theoretical perspectives.

Sang-Woong Lee, Saqib Ali, Amir Masoud Rahmani, Ramin Abbaszadi, Farhad Soleimanian Gharehchopogh, Parisa Khoshvaght, Mehdi Hosseinzadeh

Neural Comput. Appl., June, 2026

SimGOL: a similarity-based graph optimization and learning framework with flexible fusion for recommender systems.

Sang-Woong Lee, Saqib Ali, Amir Masoud Rahmani, Gholamreza Zare, Pegah Malekpour Alamdari, Parisa Khoshvaght, Mehdi Hosseinzadeh

Neural Comput. Appl., May, 2026

Celestial swarm optimization for energy-efficient task offloading in mobile edge-enabled IoT networks.

Parisa Khoshvaght, Saqib Ali, Amir Masoud Rahmani, Komeil Moghaddasi, Farhad Soleimanian Gharehchopogh, Aso Darwesh, Thantrira Porntaveetus, Mehdi Hosseinzadeh

Simul. Model. Pract. Theory, 2026

Innovative blockchain and NFT solutions for enhanced security and interoperability in EHR Management: A review.

Aso Darwesh, Atefeh Nekouie, Mohammad Hossein Moattar, Parisa Khoshvaght, Mehdi Hosseinzadeh, Jan Lansky, Thantrira Porntaveetus

J. King Saud Univ. Comput. Inf. Sci., 2026

MAF-RL: Multi-Source Actor-Critic fusion reinforcement learning for dynamic decision systems.

Mehdi Hosseinzadeh, Rizwan Ali Naqvi, Amir Masoud Rahmani, Gholamreza Zare, Pegah Malekpour Alamdari, Parisa Khoshvaght, Aso Darwesh, Thantrira Porntaveetus, Sang-Woong Lee

Inf. Sci., 2026

A privacy-aware and sustainable joint optimization for resource-constrained internet of things using deep reinforcement learning.

Mehdi Hosseinzadeh, Parisa Khoshvaght, Amir Masoud Rahmani, Farhad Soleimanian Gharehchopogh, Shakiba Rajabi, Aso Darwesh, Omed Hassan Ahmed, Thantrira Porntaveetus, Sang-Woong Lee

Internet Things, 2026

An environment-aware Q-learning-based trust evaluation scheme in Underwater Acoustic Sensor Networks (UASNs).

Parisa Khoshvaght, Musaed A. Alhussein, Khursheed Aurangzeb, Efat Yousefpoor, Jan Lansky, Mehdi Hosseinzadeh

Comput. Stand. Interfaces, 2026

A distributed intelligence framework for microservice-oriented task offloading and resource allocation in vehicular edge-cloud networks.

Parisa Khoshvaght, Amir Haider, Amir Masoud Rahmani, Farhad Soleimanian Gharehchopogh, Bahman Arasteh, Jan Lansky, Mehdi Hosseinzadeh

Comput. Electr. Eng., 2026

2025

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

Amir Masoud Rahmani, Amir Haider, Khursheed Aurangzeb, May Altulyan, Entesar Gemeay, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Parisa Khoshvaght, Mehdi Hosseinzadeh

Veh. Commun., 2025

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

Parisa Khoshvaght, Jawad Tanveer, Amir Masoud Rahmani, May Altulyan, Yazeed Alkhrijah, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Mokhtar Mohammadi, Mehdi Hosseinzadeh

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.

Amir Masoud Rahmani, Amir Haider, Parisa Khoshvaght, Farhad Soleimanian Gharehchopogh, Komeil Moghaddasi, Shakiba Rajabi, Mehdi Hosseinzadeh

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.

Mehdi Hosseinzadeh, Amir Haider, Amir Masoud Rahmani, Farhad Soleimanian Gharehchopogh, Shakiba Rajabi, Parisa Khoshvaght, Thantrira Porntaveetus, Sang-Woong Lee

Sustain. Comput. Informatics Syst., 2025

A multi-objective deep reinforcement learning algorithm for spatio-temporal latency optimization in mobile IoT-enabled edge computing networks.

Parisa Khoshvaght, Amir Haider, Amir Masoud Rahmani, Farhad Soleimanian Gharehchopogh, Ferzat Anka, Jan Lansky, Mehdi Hosseinzadeh

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.

Parisa Khoshvaght, Jawad Tanveer, Amir Masoud Rahmani, Mohammad Mohammadi, Amin Mehranzadeh, Jan Lansky, Mehdi Hosseinzadeh

Internet Things, 2025

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

Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, Hamid Alinejad-Rokny, Parisa Khoshvaght, Gholamreza Zare, Pegah Malekpour Alamdari, Mehdi Hosseinzadeh

Inf. Fusion, 2025

An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks.

Parisa Khoshvaght, Amir Haider, Amir Masoud Rahmani, May Altulyan, Monji Mohamed Zaidi, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Mehdi Hosseinzadeh

Eng. Appl. Artif. Intell., 2025

An intelligent fuzzy logic based-trust system in underwater acoustic sensor networks.

Parisa Khoshvaght, Musaed A. Alhussein, Khursheed Aurangzeb, Mohammad Sadegh Yousefpoor, Jan Lansky, Mehdi Hosseinzadeh

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.

Amir Masoud Rahmani, Amir Haider, Saqib Ali, Mohammad Mohammadi, Amin Mehranzadeh, Parisa Khoshvaght, Mehdi Hosseinzadeh

Comput. Electr. Eng., 2025

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

Amir Masoud Rahmani, Amir Haider, Saqib Ali, Shakiba Rajabi, Farhad Soleimanian Gharehchopogh, Parisa Khoshvaght, Mehdi Hosseinzadeh

Ad Hoc Networks, 2025

A self-supervised deep reinforcement learning for Zero-Shot Task scheduling in mobile edge computing environments.

Parisa Khoshvaght, Amir Haider, Amir Masoud Rahmani, Shakiba Rajabi, Farhad Soleimanian Gharehchopogh, Jan Lansky, Mehdi Hosseinzadeh

Ad Hoc Networks, 2025

A Q-learning-based trust model in underwater acoustic sensor networks (UASNs).

Mehdi Hosseinzadeh, Amir Haider, Amir Masoud Rahmani, Khursheed Aurangzeb, Zhe Liu, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Sang-Woong Lee, Parisa Khoshvaght

Ad Hoc Networks, 2025

2024

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

Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh

CoRR, 2024

A Model for Epileptic Seizure Diagnosis Using the Combination of Ensemble Learning and Deep Learning.

Mehdi Hosseinzadeh, Parisa Khoshvaght, Samira Sadeghi, Parvaneh Asghari, Amirhossein Noroozi Varzeghani, Mokhtar Mohammadi, Hossein Mohammadi, Jan Lansky, Sang-Woong Lee

IEEE Access, 2024