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 anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment technique that will replace intermediaries with cryptographic methods and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods initially developed for the computer-aided evaluation for hardware and software techniques, particularly these based on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper provides an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want [https://solarsnearme.com/author/cattlelevel78/ where to buy bitcoin] be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Most often, ui(t) options a couple of abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary phase is high, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to some enthusiasts attempting 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 @@
-%About_Yourself%
+As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment technique that will replace intermediaries with cryptographic methods and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods initially developed for the computer-aided evaluation for hardware and software techniques, particularly these based on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper provides an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want [https://solarsnearme.com/author/cattlelevel78/ where to buy bitcoin] be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Most often, ui(t) options a couple of abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary phase is high, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to some enthusiasts attempting 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 learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another payment technique that will replace intermediaries with cryptographic methods and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this downside through the use of the methods initially developed for the computer-aided evaluation for hardware and software techniques, particularly these based on the timed automata. In this paper we introduce a software to review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper provides an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want [https://solarsnearme.com/author/cattlelevel78/ where to buy bitcoin] be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Most often, ui(t) options a couple of abrupt changes, partitioning the historical past of Bitcoin into separate time intervals. Within the preliminary phase is high, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to some enthusiasts attempting out the Bitcoin system by transferring cash between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647840932 |
