Výsledky vyhledávání - "Nimar S. Arora"

Crowdsourcing with Contextual Uncertainty

Autor: Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley

Publikováno v: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f1d64192bd24482107e180a672ed709c
https://doi.org/10.1145/3534678.3539184

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NET-VISA from Cradle to Adulthood. A Machine-Learning Tool for Seismo-Acoustic Automatic Association

Autor: Pierrick Mialle, Paulino Feitio, David Bowers, Marcela Villarroel, István Bondár, Alexander Sudakov, Fekadu Kebede Alamneh, Beatriz Vera, Noriyuki Kushida, Stuart Russell, Elena Tomuta, Tammy Taylor, Ronan Le Bras, Nimar S. Arora, Stuart Nippress, Shaban Laban

Publikováno v: Pure and Applied Geophysics. 178:2437-2458

A research concept that was first presented on a poster at a Comprehensive Nuclear-Test-Ban Treaty (CTBT) conference in 2009 has resulted in a fully-fledged operational software product named NET-VISA (Network Processing Vertically Integrated Seismic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd33aa213c820332fe4701a6d8d6b9be
https://doi.org/10.1007/s00024-020-02508-x

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Analyzing Deep Learning Performance for Seismic Waveform Discrimination at Global Distances

Autor: Nimar S. Arora, Rayna Arora, Ronan Le Bras

Deep Learning has shown a lot of promise in analyzing seismic waveforms for a number of tasks. However, most studies have focused on detections made at nearby stations that are roughly within 100km. These methods are not readily applicable for global

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2bbdde8d4046077b5990ef34dc1a1087
https://doi.org/10.5194/egusphere-egu21-1831

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Advances in Operational Processing at the International Data Centre

Autor: Nimar S. Arora, David Brown, colleagues from Idc, Pierrick Mialle

Publikováno v: Infrasound Monitoring for Atmospheric Studies ISBN: 9783319751382

The International Data Centre (IDC) of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) Preparatory Commission receives and processes in near-real-time data from the International Monitoring System (IMS), a globally distributed network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad3a80f662fab52347206a5d8a0de569
https://doi.org/10.1007/978-3-319-75140-5_6

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NET-VISA: Network Processing Vertically Integrated Seismic Analysis

Autor: Erik B. Sudderth, Stuart Russell, Nimar S. Arora

Publikováno v: Bulletin of the Seismological Society of America. 103:709-729

The automated processing of multiple seismic signals to detect and local- ize seismic events is a central tool in both geophysics and nuclear treaty verification. Thispaper reports onaproject begunin2009 toreformulate thisprobleminaBayesian framework

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d83c00f3ed9b661b13c34173515bf85c
https://doi.org/10.1785/0120120107

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Progresses with the International Data Centre Infrasound System

Autor: Nimar S. Arora, Pierrick Mialle

Publikováno v: The Journal of the Acoustical Society of America. 143:1782-1782

The International Data Centre (IDC) advances its methods and continuously improves its automatic system for infrasound technology. The IDC focuses on enhancing the automatic system for the identification of valid signals and the optimization of the n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4295f710d8b62df8885ed18bec1e982
https://doi.org/10.1121/1.5035832

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Big Data Every Day: Predictive Analytics Used to Improve Production Surveillance

Autor: Shawn Gutierrez, Nimar S. Arora, Scott Trevor Raphael, Heidi Anderson Kuzma, Clara Fuge

Publikováno v: Day 1 Tue, March 03, 2015.

Terabytes of data are being collected every day in the oilfield. Intuition suggests that the more data the better and that if a little bit of information is valuable, then a lot must be incredibly more so. And yet, is it? It is not the data itself, b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f421588ea79bb67e2526641e94c686d1
https://doi.org/10.2118/173444-ms

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Generative Models for Production Forecasting in Unconventional Oil and Gas Plays

Autor: Heidi Anderson Kuzma, Kemal Farid, Nimar S. Arora

Publikováno v: Proceedings of the 2nd Unconventional Resources Technology Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::690ab8407407aae673c0e6271c532817
https://doi.org/10.15530/urtec-2014-1928595

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Thread scheduling for multiprogrammed multiprocessors

Autor: C. G. Plaxton, Robert D. Blumofe, Nimar S. Arora

Publikováno v: SPAA

We present a user-level thread scheduler for shared-memory multiprocessors, and we analyze its performance under multiprogramming. We model multiprogramming with two scheduling levels: our scheduler runs at user-level and schedules threads onto a fix

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa071cb33b2fe983190ab5050cac5830
https://doi.org/10.1145/277651.277678

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