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 alternate payment method that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this drawback by utilizing the methods originally developed for the pc-aided evaluation for hardware and software systems, in particular these based mostly on the timed automata. In this paper we introduce a software to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you want to have the ability [https://forums.worldwarriors.net/profile/sparkchief46 where to buy bitcoin] separate truth from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. In most cases, ui(t) options a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. Within the preliminary part is excessive, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few fans making an attempt out the Bitcoin system by shifting cash between their very own addresses. |
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 alternate payment method that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this drawback by utilizing the methods originally developed for the pc-aided evaluation for hardware and software systems, in particular these based mostly on the timed automata. In this paper we introduce a software to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you want to have the ability [https://forums.worldwarriors.net/profile/sparkchief46 where to buy bitcoin] separate truth from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. In most cases, ui(t) options a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. Within the preliminary part is excessive, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few fans making an attempt out the Bitcoin system by shifting cash 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 payment method that will change intermediaries with cryptographic methods and needs to be embedded within the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this drawback by utilizing the methods originally developed for the pc-aided evaluation for hardware and software systems, in particular these based mostly on the timed automata. In this paper we introduce a software to study and analyze the UTXO set, along with a detailed description of the set format and functionality. This paper gives an assessment of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the pieces you want to have the ability [https://forums.worldwarriors.net/profile/sparkchief46 where to buy bitcoin] separate truth from fiction when reading claims about Bitcoin and different cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. In most cases, ui(t) options a few abrupt changes, partitioning the history of Bitcoin into separate time intervals. Within the preliminary part is excessive, fluctuating around (see Fig. 5), possibly a result of transactions taking place between addresses belonging to a few fans making an attempt out the Bitcoin system by shifting cash between their very own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647841305 |
