Innovative Research Award
Mansoureh Ghiasabadi Farahani
Ar.C., Islamic Azad University, Iran
Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran. The supplied profile identifies Machine Learning as the subject area and reports two documents, 22 citations, and an h-index of 1. These indicators provide a concise snapshot of the reported scholarly activity and should be considered alongside verified publications, research quality, originality, and documented contributions. [1][2][3]
Abstract
Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran, and is associated with Machine Learning. The supplied metrics list two documents, 22 citations, and an h-index of 1. These indicators offer a snapshot of the stated academic profile and should be interpreted alongside verified publications and research contributions. [1][2][3]
Keywords
Machine Learning; Learning Automata; Personalized Recommender Systems; Item Clustering; Wireless Sensor Networks; Scopus; Research Impact.
Introduction
Mansoureh Ghiasabadi Farahani is affiliated with Ar.C., Islamic Azad University, Iran, and is associated with Machine Learning. The supplied metrics list two documents, 22 citations, and an h-index of 1. These indicators offer a snapshot of the stated academic profile and should be interpreted alongside verified publications and research contributions. [1][2][3]
Research Profile
Machine Learning research explores computational methods that learn patterns from data and support prediction, classification, and personalization. The supplied references concern learning automata in personalized recommender systems, item clustering, and routing protocols for wireless sensor networks. These topics relate to adaptive algorithms and computational systems. Publication authorship and the precise contributions should be verified through the linked records. [1][2][3]
Research Contributions
Machine Learning includes methods that enable systems to identify patterns in data and support prediction, classification, and personalization. The supplied references mention learning automata, adaptive personalized recommendation, item clustering, and wireless sensor network routing. These topics provide relevant context for computational and adaptive systems, while individual publication contributions should be confirmed from the linked sources. [1][2][3]
Publications
The supplied references cover a dynamic user profile for an adaptive personalized recommender system using learning automata, an adaptive personalized recommender system using learning automata and item clustering, and an enhanced routing protocol for wireless sensor networks. The references are listed below with the provided DOI or record links. Verify the linked records for bibliographic details and authorship before attributing these works to the researcher. [1][2][3]
Research Impact
The supplied profile reports 22 citations and an h-index of 1 across two documents. These figures provide a bibliometric snapshot, but research impact is best considered alongside publication quality, originality, collaboration, practical relevance, and the researcher’s verified contributions. Citation and indexing figures may change over time. [1][2][3]
Award Suitability
The Innovative Research Award recognizes research activity and contributions in the relevant subject area. The supplied profile identifies Machine Learning and reports two documents, 22 citations, and an h-index of 1. A fair assessment should consider verified publications, originality, methodological quality, significance, and documented contributions alongside bibliometric indicators. [1][2][3]
Conclusion
Mansoureh Ghiasabadi Farahani’s supplied profile identifies Ar.C., Islamic Azad University, Iran, and Machine Learning as the subject area. The provided metrics are two documents, 22 citations, and an h-index of 1. The listed references focus on recommender systems using learning automata and wireless sensor network routing. Verified publication records can support a fuller assessment of research contributions. [1][2][3]
External Links
References
- Dynamic user profile for adaptive personalized recommender system using learning automata.
https://doi.org/10.1007/s11042-023-17339-w
- Adaptive personalized recommender system using learning automata and items clustering.
https://doi.org/10.1016/j.is.2021.101978
- An enhanced routing protocol for wireless sensor networks.
https://www.scopus.com/inward/record.url?eid=2-s2.0-62349124376&partnerID=MN8TOARS