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) | ZoilaMcinnis78 |
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) | ZoilaMcinnis78 |
Titre complet de la page (article_prefixedtext) | Utilisateur:ZoilaMcinnis78 |
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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative payment method that will replace intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software program programs, in particular those primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Visit my web page - [http://kotuch.ru/index.php?qa=user&qa_1=sockshade18 kotuch.ru] |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-
+As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative payment method that will replace intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software program programs, in particular those primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Visit my web page - [http://kotuch.ru/index.php?qa=user&qa_1=sockshade18 kotuch.ru]
|
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 alternative payment method that will replace intermediaries with cryptographic strategies and must be embedded within the research areas of SIGeBIZ and SIGSEC. In this paper we propose to treatment this drawback through the use of the strategies originally developed for the computer-aided analysis for hardware and software program programs, in particular those primarily based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, along with an in depth description of the set format and functionality. This paper supplies an evaluation of the current state of the literature. This systematic literature review examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know all the things you need to be able to separate reality from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-varying contribution ui(t) of the primary six base networks on determine 2. Usually, ui(t) features a few abrupt adjustments, partitioning the historical past of Bitcoin into separate time intervals. In the preliminary section is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to some enthusiasts attempting out the Bitcoin system by moving cash between their own addresses.<br><br>Visit my web page - [http://kotuch.ru/index.php?qa=user&qa_1=sockshade18 kotuch.ru]
|
Horodatage Unix de la modification (timestamp) | 1649532149 |
