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 an alternate fee technique which will replace intermediaries with cryptographic methods and should be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside through the use of the methods originally developed for the pc-aided analysis for hardware and software program systems, particularly those primarily based on the timed automata. In this paper we introduce a device to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces 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 primary six base networks on determine 2. Most often, ui(t) options a number of abrupt changes, partitioning the historical past of Bitcoin into separate time durations. In the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to some enthusiasts trying out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my blog; [http://faq.name/index.php?qa=user&qa_1=cactuscoast43 http://faq.name/index.php?qa=user&qa_1=cactuscoast43] |
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 an alternate fee technique which will replace intermediaries with cryptographic methods and should be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside through the use of the methods originally developed for the pc-aided analysis for hardware and software program systems, particularly those primarily based on the timed automata. In this paper we introduce a device to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces 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 primary six base networks on determine 2. Most often, ui(t) options a number of abrupt changes, partitioning the historical past of Bitcoin into separate time durations. In the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to some enthusiasts trying out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my blog; [http://faq.name/index.php?qa=user&qa_1=cactuscoast43 http://faq.name/index.php?qa=user&qa_1=cactuscoast43]
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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 an alternate fee technique which will replace intermediaries with cryptographic methods and should be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this downside through the use of the methods originally developed for the pc-aided analysis for hardware and software program systems, particularly those primarily based on the timed automata. In this paper we introduce a device to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper supplies an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces 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 primary six base networks on determine 2. Most often, ui(t) options a number of abrupt changes, partitioning the historical past of Bitcoin into separate time durations. In the initial phase is high, fluctuating round (see Fig. 5), probably a results of transactions taking place between addresses belonging to some enthusiasts trying out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my blog; [http://faq.name/index.php?qa=user&qa_1=cactuscoast43 http://faq.name/index.php?qa=user&qa_1=cactuscoast43]
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Horodatage Unix de la modification (timestamp) | 1647720219 |