Journal des déclenchements du filtre antiabus

Navigation du filtre antiabus (Accueil | Modifications récentes des filtres | Examiner les modifications précédentes | Journal antiabus)
Aller à : navigation, rechercher

Ce journal affiche une liste des actions détectées par les filtres.

Détails pour l'entrée 22 532 du journal

19 mars 2022 à 12:31 : GGLCindi649 (discussion | contributions) a déclenché le filtre antiabus 4, en effectuant l’action « edit » sur Utilisateur:GGLCindi649. Actions entreprises : Interdire la modification ; Description du filtre : Empêcher la création de pages de pub utilisateur (examiner)

Changements faits lors de la modification

 
+
As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are another fee method that may change intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://idea.informer.com/users/filebeard42/?what=personal where to buy bitcoin] treatment this drawback by using the strategies originally developed for the computer-aided evaluation for hardware and software program methods, particularly those based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. In the initial section is high, fluctuating round (see Fig. 5), presumably a results of transactions going down between addresses belonging to some fanatics attempting out the Bitcoin system by transferring money between their own addresses.

Paramètres de l'action

VariableValeur
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)
0
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)
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 another fee method that may change intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://idea.informer.com/users/filebeard42/?what=personal where to buy bitcoin] treatment this drawback by using the strategies originally developed for the computer-aided evaluation for hardware and software program methods, particularly those based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. In the initial section is high, fluctuating round (see Fig. 5), presumably a results of transactions going down between addresses belonging to some fanatics attempting out the Bitcoin system by transferring money between their own addresses.
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 another fee method that may change intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://idea.informer.com/users/filebeard42/?what=personal where to buy bitcoin] treatment this drawback by using the strategies originally developed for the computer-aided evaluation for hardware and software program methods, particularly those based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. In the initial section is high, fluctuating round (see Fig. 5), presumably a results of transactions going down between addresses belonging to some fanatics attempting out the Bitcoin system by transferring money between their own addresses.
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 another fee method that may change intermediaries with cryptographic strategies and ought to be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest [http://idea.informer.com/users/filebeard42/?what=personal where to buy bitcoin] treatment this drawback by using the strategies originally developed for the computer-aided evaluation for hardware and software program methods, particularly those based on the timed automata. In this paper we introduce a instrument to study and analyze the UTXO set, together with an in depth description of the set format and functionality. This paper provides an evaluation of the current state of the literature. This systematic literature evaluation examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you want to be able to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Generally, ui(t) features a couple of abrupt adjustments, partitioning the historical past of Bitcoin into separate time durations. In the initial section is high, fluctuating round (see Fig. 5), presumably a results of transactions going down between addresses belonging to some fanatics attempting out the Bitcoin system by transferring money between their own addresses.
Horodatage Unix de la modification (timestamp)
1647689504