Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pangambam Sendash Singh"'
Publikováno v:
Mathematical Biology and Bioinformatics. 18:113-127
The extracellular matrix (ECM) is best described as a dynamic three-dimensional mesh of various macromolecules. These include proteoglycans (e.g., perlecan andagrin), non-proteoglycan polysaccharides (e.g., hyaluronan), and fibrous proteins (e.g., co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19e6c319beaaa512d06500124d43273c
https://doi.org/10.17537/2023.18.113
https://doi.org/10.17537/2023.18.113
Publikováno v:
Remote Sensing Letters. 13:184-195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b2fc7ea9bf6e5a086bfe16411549c0
https://doi.org/10.1080/2150704x.2021.2005270
https://doi.org/10.1080/2150704x.2021.2005270
Publikováno v:
Neural Computing and Applications. 34:21539-21550
Hyperspectral images (HSIs) contain significant number of contiguous dense spectral bands which often have large redundancy and high correlation that subsequently results into “curse of dimensionality” in HSI analysis. Therefore, efficient band s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8116501abd3036b24d00121a8211713
https://doi.org/10.1007/s00521-021-06121-4
https://doi.org/10.1007/s00521-021-06121-4
Publikováno v:
International Journal of Information Technology. 14:389-396
In the era of climate change, monitoring and effective retrieval of soil, water bodies, vegetation parameters etc. are of utmost importance which is successfully being executed using remote sensing from last few decades. The advancement of technologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b09836fb18ec2315e27b8a2c3beb9289
https://doi.org/10.1007/s41870-021-00676-0
https://doi.org/10.1007/s41870-021-00676-0
Publikováno v:
Procedia Computer Science. 167:1615-1625
The convergence of SMAC technologies resulted in an unexpected upsurge of web services on the internet. The flexibility and rental approach of the cloud makes it an attractive option for the deployment of web services-based applications. Once a numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee91cfab1a7d00c139291970db37aab2
https://doi.org/10.1016/j.procs.2020.03.372
https://doi.org/10.1016/j.procs.2020.03.372
Publikováno v:
Procedia Computer Science. 171:1313-1322
The convergence of Social Mobility Analytics and Cloud (SMAC) technologies resulted in an unexpected upsurge of web services on the internet. The flexibility and rental approach of the cloud makes it an attractive option for the deployment of web ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::709e6b1bd45ed81bfbd80de35ffd78ee
https://doi.org/10.1016/j.procs.2020.04.140
https://doi.org/10.1016/j.procs.2020.04.140
Publikováno v:
Computación y Sistemas. 24
Supervised classification of hyperspectral remote sensing images is still challenging due to the scarcity of enough labelled samples. Semi-supervised methods have been adopted to handle this issue. Self-training is a popular semi-supervised technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d9b74997765c2bc931347a6a8c095f9
https://doi.org/10.13053/cys-24-2-3374
https://doi.org/10.13053/cys-24-2-3374
Publikováno v:
Computación y Sistemas. 24
The convergence of Social Mobility Analytics and Cloud (SMAC) technologies gives rise to an unforeseen aggrandization of the web services on the internet. The resilience and payment-based approach of the cloud makes it an obvious choice for the deplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b91bfa62ea451b70cffe1a1aca1d47
https://doi.org/10.13053/cys-24-2-3402
https://doi.org/10.13053/cys-24-2-3402
Publikováno v:
2020 International Conference on Emerging Smart Computing and Informatics (ESCI).
The scarcity of labelled training data as well as uneven class distribution among the limitedly available labelled data have posed a critical issue in supervised hyperspectral remote sensing image classification. Semisupervised methods can be an easy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0930944c74a9bf5476651d7c0c491d3
https://doi.org/10.1109/esci48226.2020.9167650
https://doi.org/10.1109/esci48226.2020.9167650