Examiner des modifications individuelles
Cette page vous permet d'examiner les variables générées pour une modification individuelle par le filtre antiabus et de les tester avec les filtres.
Variables générées pour cette modification
| Variable | Valeur |
|---|---|
Si la modification est marquée comme mineure ou non (minor_edit) | |
Nom du compte d’utilisateur (user_name) | GGLCindi649 |
Groupes (y compris implicites) dont l'utilisateur est membre (user_groups) | *
user
autoconfirmed
|
Si un utilisateur est ou non en cours de modification via l’interface mobile (user_mobile) | |
Numéro de la page (article_articleid) | 3218 |
Espace de noms de la page (article_namespace) | 2 |
Titre de la page (sans l'espace de noms) (article_text) | GGLCindi649 |
Titre complet de la page (article_prefixedtext) | Utilisateur:GGLCindi649 |
Action (action) | edit |
Résumé/motif de la modification (summary) | |
Ancien modèle de contenu (old_content_model) | wikitext |
Nouveau modèle de contenu (new_content_model) | wikitext |
Ancien texte de la page, avant la modification (old_wikitext) | %About_Yourself% |
Nouveau texte de la page, après la modification (new_wikitext) | As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee technique which will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback through the use of the methods initially developed for the computer-aided analysis for hardware and software program systems, in particular those based mostly on the timed automata. On this paper we introduce a software [https://angdesh.com/author/cactusfemale01/ where to buy bitcoin] study and analyze the UTXO set, along with an in depth description of the set format and performance. This paper supplies an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. In most cases, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging [http://pyttkvtphcm.gov.vn/question/three-defendants-sentenced-for-unlawful-bitcoin-business/ where to buy bitcoin] some enthusiasts attempting out the Bitcoin system by transferring cash between their very own addresses.<br><br>my page - [https://techdirt.stream/story.php?title=social-media-disclaimer-bitcoin-information-guru techdirt.stream] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee technique which will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback through the use of the methods initially developed for the computer-aided analysis for hardware and software program systems, in particular those based mostly on the timed automata. On this paper we introduce a software [https://angdesh.com/author/cactusfemale01/ where to buy bitcoin] study and analyze the UTXO set, along with an in depth description of the set format and performance. This paper supplies an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. In most cases, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging [http://pyttkvtphcm.gov.vn/question/three-defendants-sentenced-for-unlawful-bitcoin-business/ where to buy bitcoin] some enthusiasts attempting out the Bitcoin system by transferring cash between their very own addresses.<br><br>my page - [https://techdirt.stream/story.php?title=social-media-disclaimer-bitcoin-information-guru techdirt.stream]
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee technique which will change intermediaries with cryptographic methods and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this drawback through the use of the methods initially developed for the computer-aided analysis for hardware and software program systems, in particular those based mostly on the timed automata. On this paper we introduce a software [https://angdesh.com/author/cactusfemale01/ where to buy bitcoin] study and analyze the UTXO set, along with an in depth description of the set format and performance. This paper supplies an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to have the ability to separate reality from fiction when reading claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on figure 2. In most cases, ui(t) options a number of abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging [http://pyttkvtphcm.gov.vn/question/three-defendants-sentenced-for-unlawful-bitcoin-business/ where to buy bitcoin] some enthusiasts attempting out the Bitcoin system by transferring cash between their very own addresses.<br><br>my page - [https://techdirt.stream/story.php?title=social-media-disclaimer-bitcoin-information-guru techdirt.stream]
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Horodatage Unix de la modification (timestamp) | 1647731935 |
