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) | AnnisStJulian9 |
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) | AnnisStJulian9 |
Titre complet de la page (article_prefixedtext) | Utilisateur:AnnisStJulian9 |
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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology which will change intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://aselah-ejabat.com/index.php?qa=user&qa_1=bagvoyage18 new cryptocurrency to invest in] remedy this downside by using the methods originally developed for the computer-aided evaluation for hardware and software programs, particularly these primarily based on the timed automata. On this paper we introduce a tool to check and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an assessment of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you want to be able [https://trade-britanica.trade/wiki/Bitcoin_Plunges_30_To_30000_At_One_Level_In_Wild_Session_Recovers_Somewhat_To_38000 new cryptocurrency to invest in] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time periods. Within the preliminary phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some fanatics trying out the Bitcoin system by transferring money between their very own addresses.<br><br>Also visit my page :: [https://justbookmark.win/story.php?title=scams-telling-you-to-pay-with-bitcoin-on-the-rise justbookmark.win] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-
+As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology which will change intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://aselah-ejabat.com/index.php?qa=user&qa_1=bagvoyage18 new cryptocurrency to invest in] remedy this downside by using the methods originally developed for the computer-aided evaluation for hardware and software programs, particularly these primarily based on the timed automata. On this paper we introduce a tool to check and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an assessment of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you want to be able [https://trade-britanica.trade/wiki/Bitcoin_Plunges_30_To_30000_At_One_Level_In_Wild_Session_Recovers_Somewhat_To_38000 new cryptocurrency to invest in] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time periods. Within the preliminary phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some fanatics trying out the Bitcoin system by transferring money between their very own addresses.<br><br>Also visit my page :: [https://justbookmark.win/story.php?title=scams-telling-you-to-pay-with-bitcoin-on-the-rise justbookmark.win]
|
Lignes ajoutées lors de la modification (added_lines) | As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost methodology which will change intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://aselah-ejabat.com/index.php?qa=user&qa_1=bagvoyage18 new cryptocurrency to invest in] remedy this downside by using the methods originally developed for the computer-aided evaluation for hardware and software programs, particularly these primarily based on the timed automata. On this paper we introduce a tool to check and analyze the UTXO set, together with a detailed description of the set format and functionality. This paper provides an assessment of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every part you want to be able [https://trade-britanica.trade/wiki/Bitcoin_Plunges_30_To_30000_At_One_Level_In_Wild_Session_Recovers_Somewhat_To_38000 new cryptocurrency to invest in] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the primary six base networks on figure 2. Typically, ui(t) features a few abrupt changes, partitioning the historical past of Bitcoin into separate time periods. Within the preliminary phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some fanatics trying out the Bitcoin system by transferring money between their very own addresses.<br><br>Also visit my page :: [https://justbookmark.win/story.php?title=scams-telling-you-to-pay-with-bitcoin-on-the-rise justbookmark.win]
|
Horodatage Unix de la modification (timestamp) | 1657262653 |