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1. |
Record Nr. |
UNINA9910688264603321 |
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Titolo |
Bayesian Inference : recent advantages / / Niansheng Tang, editor |
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Pubbl/distr/stampa |
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London : , : IntechOpen, , 2022 |
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Descrizione fisica |
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1 online resource (126 pages) |
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Disciplina |
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Soggetti |
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Bayesian statistical decision theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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With growing interest in data mining and its merits, including the incorporation of historical or experiential information into statistical analysis, Bayesian inference has become an important tool for analyzing complicated data and solving inverse problems in various fields such as artificial intelligence. This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. We hope that this book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis. |
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2. |
Record Nr. |
UNINA9910698307103321 |
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Titolo |
Guidelines for the prediction and control of methane emissions on longwalls |
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Pubbl/distr/stampa |
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[Place of publication not identified], : U S Department of Health and Human Services CDC/NIOSH Office of Mine Safety and Health Research, 2008 |
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ISBN |
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Descrizione fisica |
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1 online resource (83 p.) |
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Collana |
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DHHS (NIOSH) publication ; ; no. 2008-114 |
Information circular ; ; 9502 |
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Soggetti |
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Mechanical Engineering |
Engineering & Applied Sciences |
Metallurgy & Mineralogy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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1. Reservoir modeling for predicting methane emissions in development headings (entries) -- 2. Controlling longwall face methane and development mining emissions: predicted improvements using in-seam boreholes -- 3. Characterizing and forecasting longwall face methane emission rates for longer longwall faces -- 4. Predicting methane emissions from longer longwall faces by analysis of emission -- contributors -- 5. Development of numerical models to investigate permeability changes, distributions, and gas emissions around a longwall panel -- 6. Methane emission control during mining of longwall panels using gob gas ventholes -- 7. The application of gob gas ventholes to control methane in wider longwall panels and gobs -- 8. Induced fracturing and coalbed gas migration in longwall panel overburden: the NIOSH borehole monitoring experiment6 -- Practical guidelines for controlling longwall coalbed methane |
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Sommario/riassunto |
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"Although longwall mining productivity can far exceed that of room-and-pillar mining, the total methane emissions per extracted volume associated with longwall sections are generally higher than those for continuous miner or pillar removal sections. Increased face advance rates, increased productivities, increased panel sizes, and more |
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extensive gate road developments have challenged existing designs for controlling methane on longwalls. Methane control research by the National Institute for Occupational Safety and Health (NIOSH) recently examined a number of practices designed to maintain concentrations in mine air within statutory limits and consistently below the lower explosive limit. In this report, several practical guidelines are recommended for controlling longwall coalbed methane. All predictions are based on determinations made for the Pittsburgh Coalbed in southwestern Pennsylvania." |
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