Abuse filter log

Details for log entry 138,373

11:31, 10 April 2020: ODEOna41519 (talk | contribs) triggered filter 0, performing the action "edit" on User:ODEOna41519. Actions taken: Warn; Filter description: (examine)

Changes made in edit

Action parameters

Variable	Value
Name of the user account `(user_name)`	'ODEOna41519'
Age of the user account `(user_age)`	4
Groups (including implicit) the user is in `(user_groups)`	[ 0 => '*', 1 => 'user', 2 => 'autoconfirmed' ]
Page ID `(page_id)`	0
Page namespace `(page_namespace)`	2
Page title (without namespace) `(page_title)`	'ODEOna41519'
Full page title `(page_prefixedtitle)`	'User:ODEOna41519'
Action `(action)`	'edit'
Edit summary/reason `(summary)`	''
Old content model `(old_content_model)`	''
New content model `(new_content_model)`	'wikitext'
Old page wikitext, before the edit `(old_wikitext)`	''
New page wikitext, after the edit `(new_wikitext)`	'As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost technique which will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this downside by utilizing the strategies originally developed for the pc-aided analysis for hardware and software systems, specifically those based mostly on the timed automata. In this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper provides an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to have the ability to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) options a couple of abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is excessive, fluctuating around (see Fig. 5), presumably a results of transactions happening between addresses belonging to a couple fans trying out the Bitcoin system by transferring money between their very own addresses.<br><br>My page :: [https://www.sitiosparaguay.com/author/burns51potter/ https://www.sitiosparaguay.com/author/burns51potter]'
Old page size `(old_size)`	0
All external links added in the edit `(added_links)`	[ 0 => 'https://www.sitiosparaguay.com/author/burns51potter/' ]
All external links in the new text `(all_links)`	[ 0 => 'https://www.sitiosparaguay.com/author/burns51potter/' ]
Links in the page, before the edit `(old_links)`	[]
Unix timestamp of change `(timestamp)`	1586518297


			As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost technique which will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this downside by utilizing the strategies originally developed for the pc-aided analysis for hardware and software systems, specifically those based mostly on the timed automata. In this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper provides an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to have the ability to separate truth from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) options a couple of abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary section is excessive, fluctuating around (see Fig. 5), presumably a results of transactions happening between addresses belonging to a couple fans trying out the Bitcoin system by transferring money between their very own addresses.<br><br>My page :: [https://www.sitiosparaguay.com/author/burns51potter/ https://www.sitiosparaguay.com/author/burns51potter]