Zobrazeno 1 - 10
of 6 729
pro vyhledávání: '"A. Bagherzadeh"'
Publikováno v:
Environmental Resources Research, Vol 9, Iss 1, Pp 1-12 (2021)
In the present study, the feasibility of planting ash (Fraxinus excelsior L.) and spruce (Picea abies L.) tree species was investigated for rehabilitation of the Toroq Watershed in the northeast of Iran. The estimated land suitability indices ranged
Externí odkaz:
https://doaj.org/article/830ab030dc0842fba1e01d8e1aa926e4
Publikováno v:
علوم آب و خاک, Vol 23, Iss 3, Pp 141-155 (2019)
Seepage losses and poor operational activities are the two main source of water losses throughout the agricultural water conveyance and distribution systems in irrigation districts. This study aims to investigate the performances of two strategies of
Externí odkaz:
https://doaj.org/article/604d8e05c34d4b03b9727406b98d0041
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 45, Iss 2, Pp 687-708 (2019)
Several methods have been used to model reality and explain soil pedogenesis and evolution. However, there is a lack of information about which soil properties truly condition soil quality indicators and indices particularly at the pedon scale and at
Externí odkaz:
https://doaj.org/article/fb615874e3694c229caf4b2d757eff6b
The Convolutional Neural Network (CNN) has emerged as a powerful and versatile tool for artificial intelligence (AI) applications. Conventional computing architectures face challenges in meeting the demanding processing requirements of compute-intens
Externí odkaz:
http://arxiv.org/abs/2402.04431
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Intimate partner violence (IPV) is a global health problem and the cause of chronic diseases, such as diabetes. It has a negative effect on adherence to treatment, decreases self-efficacy beliefs, and intensifies stress in women.
Externí odkaz:
https://doaj.org/article/95c709981c0d477ca8814c728571d1f7
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code -- supporting symbolic, graph-based Deep Neural Netw
Externí odkaz:
http://arxiv.org/abs/2308.11785
Stock trend analysis has been an influential time-series prediction topic due to its lucrative and inherently chaotic nature. Many models looking to accurately predict the trend of stocks have been based on Recurrent Neural Networks (RNNs). However,
Externí odkaz:
http://arxiv.org/abs/2305.14368
Publikováno v:
Journal of Multidisciplinary Care, Vol 13, Iss 1, Pp 44-54 (2024)
Background and aims: Therapeutic procedures, including the placement of intravenous catheters, are among the most common sources of pain for children. Various methods exist to reduce pain during venipuncture in children, including non-pharmacological
Externí odkaz:
https://doaj.org/article/a16c4ed7716d4c639064e651f0efc878
Publikováno v:
علوم محیطی, Vol 22, Iss 3, Pp 407-426 (2024)
Introduction: Organizing the collection of valuable recyclable waste at the city level has always been a major challenge for municipalities due to unprincipled activities. So far, various attempts have been made to organize these people in Iran, but
Externí odkaz:
https://doaj.org/article/6d1e3915746a421385bd78fb8c302078
Autor:
Nabiee, Shima, Bagherzadeh, Nader
Market financial forecasting is a trending area in deep learning. Deep learning models are capable of tackling the classic challenges in stock market data, such as its extremely complicated dynamics as well as long-term temporal correlation. To captu
Externí odkaz:
http://arxiv.org/abs/2303.09323