Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Khwairakpam Amitab"'
Publikováno v:
IET Image Processing, Vol 15, Iss 6, Pp 1285-1297 (2021)
Abstract Synthetic aperture radar (SAR) images are contaminated with noise called speckle that is multiplicative in nature. The presence of speckles in SAR images makes it impossible to understand and interpret for extensive range of applications. Ho
Externí odkaz:
https://doaj.org/article/a725cca8cc54495da1b8465a824d4226
Autor:
Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, Elżbieta Jasińska, Radomir Gono, Zbigniew Leonowicz, Michał Jasiński
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3029 (2022)
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change. Landslide susceptibility mapping is vital to safeguard life and p
Externí odkaz:
https://doaj.org/article/efa2f699764241adb63feb543bb10c6f
Publikováno v:
Procedia Computer Science. 218:1-8
Publikováno v:
2023 4th International Conference on Computing and Communication Systems (I3CS).
Autor:
Moziihrii Ado, Khwairakpam Amitab
Publikováno v:
2023 4th International Conference on Computing and Communication Systems (I3CS).
Publikováno v:
Science & Technology Journal. 9:169-173
In this paper, an attempt has been made to interconnect the 32 dam sites within Tlawng Watershed in the state of Mizoram. Computational technique for interlinking of dam sites has been proposed for the purpose. The elevation of dam and the distance b
Autor:
Ritesh Kumar, Khwairakpam Amitab
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811901041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca831ccbc16f4452208e841c56f5f4fb
https://doi.org/10.1007/978-981-19-0105-8_13
https://doi.org/10.1007/978-981-19-0105-8_13
Publikováno v:
IET Image Processing, Vol 15, Iss 6, Pp 1285-1297 (2021)
Synthetic aperture radar (SAR) images are contaminated with noise called speckle that is multiplicative in nature. The presence of speckles in SAR images makes it impossible to understand and interpret for extensive range of applications. However, ce
Publikováno v:
Science & Technology Journal. 9:89-93
Crop diseases are the main threat to agricultural products. Fast, accurate, and automatic detection of diseases can help to overcome this problem. Literature suggests, machine learning techniques are capable of achieving these goals in near real-time
Publikováno v:
Procedia Computer Science. 167:2403-2409
Recently, deep learning and character recognition have drawn the attention of many researchers. The deep neural networks have state-of-the-art performance in solving many classification and recognition problems. The Optical Character Recognition (OCR