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) | AngieOgle59 |
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) | AngieOgle59 |
Titre complet de la page (article_prefixedtext) | Utilisateur:AngieOgle59 |
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 cost method that will substitute intermediaries with cryptographic strategies and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by using the strategies originally developed for the computer-aided evaluation for hardware and software program programs, specifically those based mostly on the timed automata. In this paper we introduce a tool to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple lovers trying out the Bitcoin system by shifting money between their very own addresses.<br><br>my homepage ... [http://servers.org.ua/user/yamtrick7/ best weight loss pills uk reviews] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
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+As expected, the non-linear deep learning methods outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate cost method that will substitute intermediaries with cryptographic strategies and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by using the strategies originally developed for the computer-aided evaluation for hardware and software program programs, specifically those based mostly on the timed automata. In this paper we introduce a tool to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple lovers trying out the Bitcoin system by shifting money between their very own addresses.<br><br>my homepage ... [http://servers.org.ua/user/yamtrick7/ best weight loss pills uk reviews]
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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 alternate cost method that will substitute intermediaries with cryptographic strategies and must be embedded in the analysis areas of SIGeBIZ and SIGSEC. On this paper we suggest to treatment this downside by using the strategies originally developed for the computer-aided evaluation for hardware and software program programs, specifically those based mostly on the timed automata. In this paper we introduce a tool to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper offers an assessment of the present state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know the whole lot you want to be able to separate fact from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-varying contribution ui(t) of the first six base networks on figure 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. Within the initial phase is excessive, fluctuating around (see Fig. 5), possibly a results of transactions happening between addresses belonging to a couple lovers trying out the Bitcoin system by shifting money between their very own addresses.<br><br>my homepage ... [http://servers.org.ua/user/yamtrick7/ best weight loss pills uk reviews]
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Horodatage Unix de la modification (timestamp) | 1654920130 |
