Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Alireza, Sharifi"'
Autor:
Mehdi Kashani, Mehdi Karimi, Alireza Sharifi Rayeni, Mohammad Ali Azizi Nadian, Masoud Mortezazadeh, Amirhossein Parsaei, Nooshin Abolghasemi, Niyousha Shirsalimi, Abbas Mofidi, Seyyed Taher Seyyed Mahmoudi
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Background and objectivesDirect-acting antiviral (DAA) agents are now widely used to treat patients with hepatitis C infection (HCV) and effectively increase their sustained virologic response (SVR). However, the literature seems to lack or deficient
Externí odkaz:
https://doaj.org/article/6a8272c2786f41f1b0ec1818cf6e4514
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Music plays a vital role in human culture and society, serving as a universal form of expression. However, accurately classifying music emotions remains challenging due to the intricate nature of emotional expressions in music and the integr
Externí odkaz:
https://doaj.org/article/e567cece1a8b4f97beebcc29b0acd554
Autor:
Habibollah Zolfkhani, Alireza Sharifi
Publikováno v:
International Journal of Industrial Electronics, Control and Optimization, Vol 7, Iss 1, Pp 73-84 (2024)
In this paper, a method is presented to design and implement ultra-wideband phase shifters, in frequency ranges higher than 10 GHz, with fractional bandwidth near a hundred percent. The phase shifter is constructed from microstrip transmission lines
Externí odkaz:
https://doaj.org/article/aa7871ee88c948c089622eca18343b2b
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e31960- (2024)
In recent years, the effects of human activities and climate change on river flow patterns have become a major concern worldwide. This is particularly true in the southern Caspian Sea (SCS) region of Iran, where increasing water-intensive socio-econo
Externí odkaz:
https://doaj.org/article/c7a2434ef35e41c38fa080dfb16d7c21
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17489-17502 (2024)
This article introduces an approach for soybean yield prediction by integrating convolutional long short-term memory (ConvLSTM), three-dimensional convolutional neural network (3D-CNN), and vision transformer (ViT). By utilizing multispectral remote
Externí odkaz:
https://doaj.org/article/ac4e13e7eb124eb294f4e5d78b52faea
Autor:
Javad Mahmoodi, Dariush Abbasi-Moghadam, Alireza Sharifi, Hossein Nezamabadi-Pour, Mohammad Esmaeili, Alireza Vafaeinejad
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14588-14613 (2024)
Recent advancements in remote sensing technology have significantly expanded the exploration of natural resources and enabled the detection of materials in inaccessible areas. Hyperspectral images (HSIs) are a valuable data source due to their distin
Externí odkaz:
https://doaj.org/article/a443848c297649bc8c9204dde0659302
Autor:
Nizom Farmonov, M. Esmaeili, Dariush Abbasi-Moghadam, Alireza Sharifi, Khilola Amankulova, Laszlo Mucsi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11969-11996 (2024)
The advent of cloud computing and advanced processing technologies has elevated deep learning (DL) as a leading method for hyperspectral imaging (HSI) classification. Classifying crops accurately is vital for generating precise agricultural data to s
Externí odkaz:
https://doaj.org/article/25bd4e1810a047a3833124f44ec3f944
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10279-10290 (2024)
Oceanic eddies are a widespread and important occurrence that plays a vital role in the movement of chemicals and energy within the marine ecosystem. Hence, the astute and precise recognition of these swirling currents may greatly contribute to the p
Externí odkaz:
https://doaj.org/article/4dc0f3fd7961410d9e8badc1ce1bc9fa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5721-5733 (2024)
Handling and quantifying two types of uncertainties, spatial and inherent, in land-cover segmentation using multiple satellite images constitutes a primary concern within the domain of segmenting multiple remote sensing images. Despite the comprehens
Externí odkaz:
https://doaj.org/article/03131ab40dd44cbc876350a8e78a4b49
Publikováno v:
Applied Water Science, Vol 14, Iss 2, Pp 1-16 (2024)
Abstract Since spring discharge, especially in arid and semiarid regions, varies considerably in different months of the year, a time series of spring discharge observations is needed to determine the firm yield of the spring and the amount of water
Externí odkaz:
https://doaj.org/article/eac4d8c78d7d448da1e1a2e2fc7e072a