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) | AngelinaZ61 |
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) | AngelinaZ61 |
Titre complet de la page (article_prefixedtext) | Utilisateur:AngelinaZ61 |
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 expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee method that may substitute intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by using the methods originally developed for the computer-aided analysis for hardware and software program techniques, specifically those primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options just a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. In the initial part is excessive, fluctuating round (see Fig. 5), presumably a results of transactions happening between addresses belonging [http://74novosti.ru/user/mouselook50/ best crypto to buy now] a couple enthusiasts attempting out the Bitcoin system by moving money between their very own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-
+As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee method that may substitute intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by using the methods originally developed for the computer-aided analysis for hardware and software program techniques, specifically those primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options just a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. In the initial part is excessive, fluctuating round (see Fig. 5), presumably a results of transactions happening between addresses belonging [http://74novosti.ru/user/mouselook50/ best crypto to buy now] a couple enthusiasts attempting out the Bitcoin system by moving money between their very 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 that may substitute intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to remedy this problem by using the methods originally developed for the computer-aided analysis for hardware and software program techniques, specifically those primarily based on the timed automata. On this paper we introduce a software to review and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper offers an assessment of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) options just a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. In the initial part is excessive, fluctuating round (see Fig. 5), presumably a results of transactions happening between addresses belonging [http://74novosti.ru/user/mouselook50/ best crypto to buy now] a couple enthusiasts attempting out the Bitcoin system by moving money between their very own addresses.
|
Horodatage Unix de la modification (timestamp) | 1655826220 |
