Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Abolghasem Sadeghi-niaraki"'
Publikováno v:
Applied Water Science, Vol 14, Iss 11, Pp 1-25 (2024)
Abstract Groundwater resources are essential for ensuring a consistent water supply in many regions. Groundwater potential maps (GPMs) can be utilized in many ways to estimate the quantity, quality, and distribution of subsurface water, supporting th
Externí odkaz:
https://doaj.org/article/4b09f082476642dd9d5f55ea5ab1d944
Autor:
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Mohammadreza Jelokhani-Niaraki, Soo-Mi Choi
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
This study addresses the critical need for comprehensive multi-pollution modeling in urban environments by employing Geospatial Artificial Intelligence (GeoAI) techniques. Specifically, it aims to elucidate the variability of air and noise pollution
Externí odkaz:
https://doaj.org/article/31142cf90ba94692920d4aa6608ae5ca
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThis study focuses on determining the optimal distance metric in the K-Nearest Neighbors (KNN) algorithm for spatial modelling of floods. Four distance metrics of the KNN algorithm, namely KNN-Manhattan, KNN-Minkowski, KNN-Euclidean, and KNN-
Externí odkaz:
https://doaj.org/article/f91390d571594d63acbdfe09209e07b5
Publikováno v:
Digital Health, Vol 10 (2024)
Background Bluetooth low energy (BLE)-based contact-tracing applications were widely used during the COVID-19 pandemic. However, the use of only the received signal strength feature for proximity calculations may not be adaptable to different virus v
Externí odkaz:
https://doaj.org/article/80cc0c5d673b4a3f8cce05769f3a884d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Urban gas pipelines pose significant risks to public safety and infrastructure integrity, necessitating thorough risk assessment methodologies to mitigate potential hazards. This study investigates the dynamics of population distribution, de
Externí odkaz:
https://doaj.org/article/0fee878abce7499e85a7e7de2d40d3b4
Publikováno v:
IEEE Access, Vol 12, Pp 42992-43026 (2024)
The importance of knowledge organization and information retrieval techniques has been evident throughout human history, becoming even more crucial in the digital age. While computer systems and the web have facilitated information retrieval, challen
Externí odkaz:
https://doaj.org/article/f500ff611ec24fa2b949ec2f2fb81ff1
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2477-2497 (2023)
Abstract Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal (GI) tract to be performed without any discomfort. Despite this, several characteristics, including efficacy, tolerance, safety, and performance, make i
Externí odkaz:
https://doaj.org/article/6430e7ad1ce043b28970b6cb11692b28
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 3, Pp 496-513 (2023)
ABSTRACTMost countries and territories worldwide are affected by coronavirus disease 2019 (COVID-19), and some cities have become known as epicenters owing to high outbreaks. Because of the changeable and unknown nature of the virus, managers of diff
Externí odkaz:
https://doaj.org/article/5b9efab41a42454ba09978e9927bd249
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural yield. Disease infection poses the most significant challenge in crop production, potentially leading to economic losses. Viruses, fungi, bacteria, and other
Externí odkaz:
https://doaj.org/article/14bbbe2c967a4e1e9e534c27b69a7a72
Autor:
Fatemeh Sadat Hosseini, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi, Mohammad Jamshidi
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
This research aimed to predict soil’s physical and chemical properties with a state-of-the-art hybrid model based on deep learning algorithms and optical satellite images in a region in the north of Iran. As dependent data, 317 soil samples (0–30
Externí odkaz:
https://doaj.org/article/ad0a2c0f81624a88bb3e9beb59ee9b3b