Abed Taghavi
Biographic Data
| ID | 4431953 |
|---|---|
| NAME | Abed Taghavi |
| GIVEN NAMES | Abed |
| FAMILY NAME | Taghavi |
| SIGNATURE | TAGHAVI A |
| AFFILIATIONS | University of Mazandaran |
| ORCID | 0000-0002-0980-9290 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Using convolutional neural networks to identify qanats and analysis of their role in the formation of Zuzan City (Iran, Islamic period)
Detecting Archaeological Phenomena Using Deep Learning in the Study of the Old Aerial Images of Historical City of Zuzan
Due to saving time and manpower, automatic and semi‐automatic methods can be used to identify and analyse ancient artefacts. Such methods are usually among the studies of neural networks and machine learning systems, which are carried out using remote sensing data and are completely based on spatial information. In the present research, the aim is to detect archaeological phenomena in the landscape of the historical city of Zuzan using convolutio…
Zoroastrians in the Economy of Yazd During the Qajar and Pahlavi I Dynasties
In the Qajar period, Zoroastrian merchants of Iran were able to engage in commercial activities with fewer restrictions than in the past. In this article, the economic performance of the Zoroastrians in this period was examined based on the institutional approach as well as the reflection of this trend on the historical and commercial context of Yazd (as one of the most important centres of Zoroastrian society) by studying the historical texts an…
Detecting Archaeological Phenomena Using Deep Learning in the Study of the Old Aerial Images of Historical City of Zuzan
Due to saving time and manpower, automatic and semi‐automatic methods can be used to identify and analyse ancient artefacts. Such methods are usually among the studies of neural networks and machine learning systems, which are carried out using remote sensing data and are completely based on spatial information. In the present research, the aim is to detect archaeological phenomena in the landscape of the historical city of Zuzan using convolutio…
Detecting Archaeological Phenomena Using Deep Learning in the Study of the Old Aerial Images of Historical City of Zuzan
Due to saving time and manpower, automatic and semi‐automatic methods can be used to identify and analyse ancient artefacts. Such methods are usually among the studies of neural networks and machine learning systems, which are carried out using remote sensing data and are completely based on spatial information. In the present research, the aim is to detect archaeological phenomena in the landscape of the historical city of Zuzan using convolutio…
Zoroastrians in the Economy of Yazd During the Qajar and Pahlavi I Dynasties
In the Qajar period, Zoroastrian merchants of Iran were able to engage in commercial activities with fewer restrictions than in the past. In this article, the economic performance of the Zoroastrians in this period was examined based on the institutional approach as well as the reflection of this trend on the historical and commercial context of Yazd (as one of the most important centres of Zoroastrian society) by studying the historical texts an…
Using convolutional neural networks to identify qanats and analysis of their role in the formation of Zuzan City (Iran, Islamic period)
Archaeology (2 works) · Convolutional neural network (2 works) · Aerial image (1 work) · Aerial Survey (1 work) · Ancient history (1 work) · Aqueduct (1 work) · Archaeological Research and Protection (1 work) · Archaeology and Historical Studies (1 work) · Arid (1 work) · Art (1 work)