Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Aditya Ojha"'
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Akademický článek
Convolutional neural networks to automate the screening of malaria in low-resource countries
Autor: Oliver S. Zhao, Nikhil Kolluri, Anagata Anand, Nicholas Chu, Ravali Bhavaraju, Aditya Ojha, Sandhya Tiku, Dat Nguyen, Ryan Chen, Adriane Morales, Deepti Valliappan, Juhi P. Patel, Kevin Nguyen
Publikováno v: PeerJ, Vol 8, p e9674 (2020)
Malaria is an infectious disease caused by Plasmodium parasites, transmitted through mosquito bites. Symptoms include fever, headache, and vomiting, and in severe cases, seizures and coma. The World Health Organization reports that there were 228 mil
Externí odkaz: https://doaj.org/article/4da17324fda2480ea60a57af39ba4211
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3
Neutron Response Modeling to Track Lean Gas Plume in Recycled Gas Cap Reservoir in Concurrent Gas Cap-Oil Rim Development: A Step Forward
Autor: Rathnakar Reddy, Aditya Ojha, Ramanathan Nachiappan, Salman Mengal, Mariam Al Hosani, Ahmed Al Bairaq, Mohamed Baslaib
Publikováno v: SPE Reservoir Evaluation & Engineering. 25:866-881
Summary Gas cap pressure maintenance while developing the associated oil rim is a critical aspect for optimum recovery. Preventing gas cap pressure dropping below dewpoint by injecting lean gas is essential for concurrent gas cap-oil rim development.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2fe7ebda55b7791945ed2fb8a03bfa96
https://doi.org/10.2118/210566-pa
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5
Modeling a Novel Approach to Delay the Water Breakthrough in Gas Cap Wells Using Smart Completions: Case Study Onshore Abu Dhabi Field
Autor: Aditya Ojha, Mariam Ahmed Al Hosani, Ahmed Mohamed Al Bairaq, Salman Akram Mengal, Ihab Nabil Mohamed, Azer Abdullayev, Allen Roopal
Publikováno v: Day 3 Wed, November 17, 2021.
This paper presents modeling a novel approach to determine the impact of implementing smart completions on water injectors located near the periphery of the gas cap and on gas producing wells situated in the gas cap of a giant Middle East onshore fie
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03243dd6c4310843879f1b3ad4639682
https://doi.org/10.2118/207862-ms
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6
Maximizing Recovery from a Depleted Oil Rim Carbonate Reservoir Through an Integrated FDP Approach: Case Study Onshore Field Abu Dhabi, UAE
Autor: Magdy Farouk Fathalla, Mariam Ahmed Al Hosani, Ihab Nabil Mohamed, Ahmed Mohamed Al Bairaq, Aditya Ojha, Salman Akram Mengal, Yuni Budi Pramudyo, Ramanathan Nachiappan, Ibukun Olatunbosun Bankole
Publikováno v: Day 3 Wed, November 17, 2021.
This paper examines risk and rewards of co-development of giant reservoir has gas cap concurrently produce with oil rim. The study focus mainly on the subsurface aspects of developing the oil rim with gas cap and impact recoveries on both the oil rim
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::255042e2ab464f0bdfac98b227d46329
https://doi.org/10.2118/207313-ms
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7
Design and Fabrication of Pedal Operated Wet Pulses Grinding Machine
Autor: Dr. A. V. Vanalkar, Aniket Armarkar, Aditya Ojha, Akash Pol, Sanket Kalode, Sameer Nagdeve, Aditya Kahalkar
Publikováno v: International Journal for Research in Applied Science and Engineering Technology. 10:1828-1829
As the name of project “pedal operated Wet pulses grinding machine” indicates, this machine is used for grinding wet pulses without using electricity. So, it also helps to maintain human health. Human health is also major concern to look out for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aaea6c3c57b89ad2bd04830c44872956
https://doi.org/10.22214/ijraset.2022.40896
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8
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Autor: Daniel Neider, Bo Wu, Ufuk Topcu, Zhe Xu, Aditya Ojha
Publikováno v: Lecture Notes in Computer Science ISBN: 9783030840594
CD-MAKE
Despite the fact that deep reinforcement learning (RL) has surpassed human-level performances in various tasks, it still has several fundamental challenges. First, most RL methods require intensive data from the exploration of the environment to achi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::147dba2ce2de1629977d26f2c5772096
https://doi.org/10.1007/978-3-030-84060-0_8
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9
Convolutional neural networks to automate the screening of malaria in low-resource countries
Autor: Deepti Valliappan, Adriane Morales, Anagata Anand, Juhi P. Patel, Aditya Ojha, Sandhya Tiku, Nicholas Chu, Dat Nguyen, Ryan Chen, Ravali Bhavaraju, Kevin Nguyen, Oliver S. Zhao, Nikhil L. Kolluri
Publikováno v: PeerJ, Vol 8, p e9674 (2020)
PeerJ
Malaria is an infectious disease caused by Plasmodium parasites, transmitted through mosquito bites. Symptoms include fever, headache, and vomiting, and in severe cases, seizures and coma. The World Health Organization reports that there were 228 mil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41190262938d11d0f149c35a4b4334da
https://peerj.com/articles/9674/
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10
Developing a Methodology for Improved Reservoir Management: A Journey from Characterization to Simulation and Back
Autor: Shubham Mishra, Aditya Ojha, Chandramani Shrivastava, F. Miotti
Publikováno v: Day 2 Tue, June 04, 2019.
An important aspect of reservoir management process is monitoring and revising plans and an essential component of reservoir management strategy is integration of technologies (Satter et al. 1994). In revisions of reservoir management plans, very rar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c3a7eaf42559d87a47903aca95eb23ed
https://doi.org/10.2118/195486-ms
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