Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Radhakanta Koner"'
Autor:
Kapoor Chand, Radhakanta Koner
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Dump failure is one of the most catastrophic hazards in the opencast mining industry and involves sudden and violent failures. Therefore, susceptible region identification is essential for slope failure mitigation in the large dump. This study propos
Externí odkaz:
https://doaj.org/article/560732fef0ed46138b71aed72d4d61c4
Publikováno v:
Ain Shams Engineering Journal, Vol 13, Iss 3, Pp 101622- (2022)
Building footprint has a significant role in urban design and management but, extracting the building feature is still challenging due to significant variations in scale and shape. Convolution neural networks (CNN) have shown effective results in ext
Externí odkaz:
https://doaj.org/article/b0509ff5afc14bc8ac17c1b5175f7087
Publikováno v:
Advances in Civil Engineering, Vol 2022 (2022)
Mine waste dump material has no economic value to the industry. Therefore, the mine waste is dumped, forming slopes. Mine waste dump slopes obtain 30% to 50% of the mining area. To reduce the land occupancy of these slopes, they are created with high
Externí odkaz:
https://doaj.org/article/ea38c2c8c71e434b9dc2a2ea6638db6e
Autor:
Suman Midda, Radhakanta Koner
Publikováno v:
2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).
Publikováno v:
2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).
The recent advancement in the pattern recognition technique has demonstrated the superiority in remote sensing technology, where Deep neural network uses the spatial feature representation such as convolution neural network (CNN), to provide better g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf4140af1ce913eaf4bc8e5a7c1e92f
https://doi.org/10.21203/rs.3.rs-2163387/v1
https://doi.org/10.21203/rs.3.rs-2163387/v1
Autor:
Trilok Singh, Arunava Ray, Radhakanta Koner, Ashutosh Kumar Bharati, Harshal Verma, Rajesh Rai
Publikováno v:
Natural Hazards. 110:2303-2327
Debris flow has caused severe human casualties and economic losses in landslide-prone areas around the globe. A comprehensive understanding of the morphology and deposition mechanisms of debris flows is crucial to delineate the extent of a debris flo
Publikováno v:
Ain Shams Engineering Journal, Vol 13, Iss 3, Pp 101622-(2022)
Building footprint has a significant role in urban design and management but, extracting the building feature is still challenging due to significant variations in scale and shape. Convolution neural networks (CNN) have shown effective results in ext
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
In Mining Science and Technology (China) 2010 20(6):809-813