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 cost technique which will exchange intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this problem through the use of the strategies initially developed for the pc-aided evaluation for hardware and software program programs, particularly those primarily based on the timed automata. In this paper we introduce a instrument to check and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an evaluation of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Usually, ui(t) options a couple of abrupt modifications, partitioning the historical past of Bitcoin into separate time durations. In the preliminary part is high, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my homepage ... [http://goddessxuan.com/home.php?mod=space&uid=149209 goddessxuan.com] |
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 cost technique which will exchange intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this problem through the use of the strategies initially developed for the pc-aided evaluation for hardware and software program programs, particularly those primarily based on the timed automata. In this paper we introduce a instrument to check and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an evaluation of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Usually, ui(t) options a couple of abrupt modifications, partitioning the historical past of Bitcoin into separate time durations. In the preliminary part is high, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my homepage ... [http://goddessxuan.com/home.php?mod=space&uid=149209 goddessxuan.com]
|
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 cost technique which will exchange intermediaries with cryptographic methods and needs to be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this problem through the use of the strategies initially developed for the pc-aided evaluation for hardware and software program programs, particularly those primarily based on the timed automata. In this paper we introduce a instrument to check and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an evaluation of the present state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on figure 2. Usually, ui(t) options a couple of abrupt modifications, partitioning the historical past of Bitcoin into separate time durations. In the preliminary part is high, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Here is my homepage ... [http://goddessxuan.com/home.php?mod=space&uid=149209 goddessxuan.com]
|
Horodatage Unix de la modification (timestamp) | 1647721803 |
