Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Aman Soni"'
Autor:
Thomas, Haritabh Rana Harel1 harelthomas@gmail.com, Shukla, Aman Soni Satyam1
Publikováno v:
Earth & Planetary Science. Oct2023, Vol. 2 Issue 2, p1-9. 9p.
Publikováno v:
Mining, Metallurgy & Exploration. 39:1073-1086
Publikováno v:
Bulletin of Pure & Applied Sciences- Geology. :196-211
Publikováno v:
Mining, Metallurgy & Exploration.
Pillar collapses are events that due to their severe consequences can be classified as high risk. The design of pillars in underground room-and-pillar operations should migrate to risk-based design approaches. The authors of this work proposed a risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee240427d55565f41bb87bc2c32a10b2
https://hdl.handle.net/10919/112079
https://hdl.handle.net/10919/112079
Publikováno v:
Earth and Planetary Science. 1
Al-rich pelitic granulites/paragneiss are frequently observed in the mediumto high-grade metamorphic rocks of Thana. It is dominantly composed of sillimanite-kyanite-garnet-biotite-plagioclase-k-feldspar and a subordinate amount of quartz. Garnet bot
Publikováno v:
Mining, Metallurgy & Exploration. 38:1383-1394
Ground control failures are one of the main causes of accidents in the underground stone mining industry. Some of the fundamental tools for rockfall hazard identification are related to rock mass characterization and geotechnical discontinuity mappin
Autor:
Aman Soni, K.C. Prabu Shankar
Publikováno v:
2022 Second International Conference on Interdisciplinary Cyber Physical Systems (ICPS).
Publikováno v:
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS).
Autor:
Nirjhar Bhattacharyya, Samriddhi Gupta, Shubham Sharma, Aman Soni, Sali Abubaker Bagabir, Malini Bhattacharyya, Atreyee Mukherjee, Atiah H. Almalki, Mustfa F. Alkhanani, Shafiul Haque, Ashwini Kumar Ray, Md. Zubbair Malik
Publikováno v:
Journal of Personalized Medicine; Volume 12; Issue 3; Pages: 393
Lung cancer is one of the most invasive cancers affecting over a million of the population. Non-small cell lung cancer (NSCLC) constitutes up to 85% of all lung cancer cases, and therefore, it is essential to identify predictive biomarkers of NSCLC f