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) | 0 |
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) | |
Nouveau modèle de contenu (new_content_model) | wikitext |
Ancien texte de la page, avant la modification (old_wikitext) | |
Nouveau texte de la page, après la modification (new_wikitext) | As anticipated, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee method which will substitute intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://sobdominio.com/author/bookmexico45/ where to buy bitcoin] remedy this drawback through the use of the methods originally developed for the computer-aided analysis for hardware and software program techniques, particularly these primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an evaluation of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able to separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Typically, ui(t) options a number of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary phase is excessive, fluctuating around (see Fig. 5), possibly a result of transactions going down between addresses belonging [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] a couple lovers making an attempt out the Bitcoin system by transferring cash between their own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-
+As anticipated, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee method which will substitute intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://sobdominio.com/author/bookmexico45/ where to buy bitcoin] remedy this drawback through the use of the methods originally developed for the computer-aided analysis for hardware and software program techniques, particularly these primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an evaluation of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able to separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Typically, ui(t) options a number of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary phase is excessive, fluctuating around (see Fig. 5), possibly a result of transactions going down between addresses belonging [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] a couple lovers making an attempt out the Bitcoin system by transferring cash between their own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As anticipated, the non-linear deep studying methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee method which will substitute intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://sobdominio.com/author/bookmexico45/ where to buy bitcoin] remedy this drawback through the use of the methods originally developed for the computer-aided analysis for hardware and software program techniques, particularly these primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an evaluation of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to be able to separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Typically, ui(t) options a number of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary phase is excessive, fluctuating around (see Fig. 5), possibly a result of transactions going down between addresses belonging [http://6qxn.com/home.php?mod=space&uid=301793 where to buy bitcoin] a couple lovers making an attempt out the Bitcoin system by transferring cash between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647682074 |