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 alternate fee method which will exchange intermediaries with cryptographic methods and ought [http://tv001.vip/home.php?mod=space&uid=170543 where to buy bitcoin] be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the pc-aided evaluation for hardware and software programs, specifically those based on the timed automata. In this paper we introduce a software to check and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you need [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] have the ability to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) options just a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple enthusiasts making an attempt out the Bitcoin system by transferring money between their own addresses. |
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 alternate fee method which will exchange intermediaries with cryptographic methods and ought [http://tv001.vip/home.php?mod=space&uid=170543 where to buy bitcoin] be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the pc-aided evaluation for hardware and software programs, specifically those based on the timed automata. In this paper we introduce a software to check and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you need [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] have the ability to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) options just a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple enthusiasts making an attempt out the Bitcoin system by transferring money between their own addresses.
|
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 alternate fee method which will exchange intermediaries with cryptographic methods and ought [http://tv001.vip/home.php?mod=space&uid=170543 where to buy bitcoin] be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the pc-aided evaluation for hardware and software programs, specifically those based on the timed automata. In this paper we introduce a software to check and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an assessment of the present state of the literature. This systematic literature assessment examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you need [https://sementivae.com/author/puppyfang22/ where to buy bitcoin] have the ability to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Most often, ui(t) options just a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), probably a result of transactions going down between addresses belonging to a couple enthusiasts making an attempt out the Bitcoin system by transferring money between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647716596 |
