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 anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee methodology which will exchange intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this drawback by using the strategies initially developed for the pc-aided evaluation for hardware and software program programs, in particular these based mostly on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to be able [https://xueyunwei.com/home.php?mod=space&uid=135258 where to buy bitcoin] separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), probably a result of transactions happening between addresses belonging to a few enthusiasts making an attempt out the Bitcoin system by transferring cash between their very own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As anticipated, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative fee methodology which will exchange intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this drawback by using the strategies initially developed for the pc-aided evaluation for hardware and software program programs, in particular these based mostly on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to be able [https://xueyunwei.com/home.php?mod=space&uid=135258 where to buy bitcoin] separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), probably a result of transactions happening between addresses belonging to a few enthusiasts making an attempt out the Bitcoin system by transferring cash between their very own addresses.
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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 alternative fee methodology which will exchange intermediaries with cryptographic methods and needs to be embedded within the research areas of SIGeBIZ and SIGSEC. On this paper we propose to treatment this drawback by using the strategies initially developed for the pc-aided evaluation for hardware and software program programs, in particular these based mostly on the timed automata. On this paper we introduce a software to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper gives an evaluation of the present state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every thing you want to be able [https://xueyunwei.com/home.php?mod=space&uid=135258 where to buy bitcoin] separate truth from fiction when studying claims about Bitcoin and different cryptocurrencies. We present the time-varying contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), probably a result of transactions happening between addresses belonging to a few enthusiasts making an attempt out the Bitcoin system by transferring cash between their very own addresses.
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Horodatage Unix de la modification (timestamp) | 1647801226 |
