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 strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that may exchange intermediaries with cryptographic methods and should be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this problem through the use of the strategies originally developed for the pc-aided evaluation for hardware and software program techniques, particularly these based mostly on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper provides an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you need to have the ability [https://menwiki.men/wiki/Bitcoin_Overview_video where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. In most cases, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time durations. Within the preliminary phase is high, fluctuating round (see Fig. 5), presumably a result of transactions happening between addresses belonging to a few lovers 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 @@
-%About_Yourself%
+As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternate fee methodology that may exchange intermediaries with cryptographic methods and should be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this problem through the use of the strategies originally developed for the pc-aided evaluation for hardware and software program techniques, particularly these based mostly on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper provides an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you need to have the ability [https://menwiki.men/wiki/Bitcoin_Overview_video where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. In most cases, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time durations. Within the preliminary phase is high, fluctuating round (see Fig. 5), presumably a result of transactions happening between addresses belonging to a few lovers 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 an alternate fee methodology that may exchange intermediaries with cryptographic methods and should be embedded within the analysis areas of SIGeBIZ and SIGSEC. In this paper we suggest to remedy this problem through the use of the strategies originally developed for the pc-aided evaluation for hardware and software program techniques, particularly these based mostly on the timed automata. On this paper we introduce a instrument to review and analyze the UTXO set, along with a detailed description of the set format and performance. This paper provides an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know every little thing you need to have the ability [https://menwiki.men/wiki/Bitcoin_Overview_video where to buy bitcoin] separate fact from fiction when studying claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. In most cases, ui(t) features a number of abrupt modifications, partitioning the history of Bitcoin into separate time durations. Within the preliminary phase is high, fluctuating round (see Fig. 5), presumably a result of transactions happening between addresses belonging to a few lovers attempting out the Bitcoin system by transferring money between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647777927 |