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 alternative cost methodology which will exchange intermediaries with cryptographic strategies and should be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program systems, in particular these based on the timed automata. On this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features just a few abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions happening between addresses belonging to some lovers trying out the Bitcoin system by transferring cash between their very own addresses.<br><br>My homepage: [https://socialbookmark.stream/story.php?title=purchase-bitcoin-with-credit-card-immediately discuss] |
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 alternative cost methodology which will exchange intermediaries with cryptographic strategies and should be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program systems, in particular these based on the timed automata. On this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features just a few abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions happening between addresses belonging to some lovers trying out the Bitcoin system by transferring cash between their very own addresses.<br><br>My homepage: [https://socialbookmark.stream/story.php?title=purchase-bitcoin-with-credit-card-immediately discuss]
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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 alternative cost methodology which will exchange intermediaries with cryptographic strategies and should be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by utilizing the strategies originally developed for the pc-aided evaluation for hardware and software program systems, in particular these based on the timed automata. On this paper we introduce a instrument to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you want to have the ability to separate reality from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features just a few abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions happening between addresses belonging to some lovers trying out the Bitcoin system by transferring cash between their very own addresses.<br><br>My homepage: [https://socialbookmark.stream/story.php?title=purchase-bitcoin-with-credit-card-immediately discuss]
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Horodatage Unix de la modification (timestamp) | 1647740122 |