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 learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method that will substitute intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program programs, in particular those primarily based on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, together with a detailed description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial phase is high, fluctuating round (see Fig. 5), possibly a result of transactions taking place between addresses belonging to some lovers making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>My blog post; [https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/ https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-
+As anticipated, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method that will substitute intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program programs, in particular those primarily based on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, together with a detailed description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial phase is high, fluctuating round (see Fig. 5), possibly a result of transactions taking place between addresses belonging to some lovers making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>My blog post; [https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/ https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/]
|
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 method that will substitute intermediaries with cryptographic strategies and should be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we propose to remedy this downside by utilizing the methods originally developed for the pc-aided evaluation for hardware and software program programs, in particular those primarily based on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, together with a detailed description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate fact from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Typically, ui(t) features a few abrupt modifications, partitioning the historical past of Bitcoin into separate time intervals. In the initial phase is high, fluctuating round (see Fig. 5), possibly a result of transactions taking place between addresses belonging to some lovers making an attempt out the Bitcoin system by shifting money between their own addresses.<br><br>My blog post; [https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/ https://urlscan.io/result/4a2275ca-9088-45eb-ba7c-43da20a4b266/]
|
Horodatage Unix de la modification (timestamp) | 1647707160 |