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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will exchange intermediaries with cryptographic methods and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this downside by using the methods initially developed for the pc-aided analysis for hardware and software program techniques, in particular these based mostly on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able 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 figure 2. Usually, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time periods. In the preliminary phase is excessive, fluctuating round (see Fig. 5), presumably a result of transactions going down between addresses belonging to a few lovers attempting out the Bitcoin system by transferring money between their own addresses.<br><br>Also visit my website [https://classified.citylive.com/index.php?page=user&action=pub_profile&id=535615 https://classified.citylive.com] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will exchange intermediaries with cryptographic methods and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this downside by using the methods initially developed for the pc-aided analysis for hardware and software program techniques, in particular these based mostly on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able 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 figure 2. Usually, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time periods. In the preliminary phase is excessive, fluctuating round (see Fig. 5), presumably a result of transactions going down between addresses belonging to a few lovers attempting out the Bitcoin system by transferring money between their own addresses.<br><br>Also visit my website [https://classified.citylive.com/index.php?page=user&action=pub_profile&id=535615 https://classified.citylive.com]
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate payment technique which will exchange intermediaries with cryptographic methods and ought to be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to treatment this downside by using the methods initially developed for the pc-aided analysis for hardware and software program techniques, in particular these based mostly on the timed automata. On this paper we introduce a device to study and analyze the UTXO set, along with a detailed description of the set format and performance. This paper offers an assessment of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able 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 figure 2. Usually, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time periods. In the preliminary phase is excessive, fluctuating round (see Fig. 5), presumably a result of transactions going down between addresses belonging to a few lovers attempting out the Bitcoin system by transferring money between their own addresses.<br><br>Also visit my website [https://classified.citylive.com/index.php?page=user&action=pub_profile&id=535615 https://classified.citylive.com]
|
Horodatage Unix de la modification (timestamp) | 1647839504 |
