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 payment technique that will substitute intermediaries with cryptographic strategies and must be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://www.gatesofantares.com/players/sparkfang93/activity/1968790/ where to buy bitcoin] treatment this downside by utilizing the methods originally developed for the computer-aided analysis for hardware and software systems, specifically these based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, together with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) options a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time durations. Within the initial phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to a few fans trying out the Bitcoin system by shifting cash 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 payment technique that will substitute intermediaries with cryptographic strategies and must be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://www.gatesofantares.com/players/sparkfang93/activity/1968790/ where to buy bitcoin] treatment this downside by utilizing the methods originally developed for the computer-aided analysis for hardware and software systems, specifically these based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, together with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) options a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time durations. Within the initial phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to a few fans trying out the Bitcoin system by shifting cash 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 payment technique that will substitute intermediaries with cryptographic strategies and must be embedded in the research areas of SIGeBIZ and SIGSEC. In this paper we suggest [https://www.gatesofantares.com/players/sparkfang93/activity/1968790/ where to buy bitcoin] treatment this downside by utilizing the methods originally developed for the computer-aided analysis for hardware and software systems, specifically these based on the timed automata. In this paper we introduce a device to check and analyze the UTXO set, together with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature evaluate examines cryptocurrencies (CCs) and Bitcoin. After this course, you’ll know everything you need to have the ability to separate truth from fiction when studying claims about Bitcoin and other cryptocurrencies. We present the time-various contribution ui(t) of the first six base networks on determine 2. Generally, ui(t) options a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time durations. Within the initial phase is high, fluctuating around (see Fig. 5), presumably a results of transactions taking place between addresses belonging to a few fans trying out the Bitcoin system by shifting cash between their own addresses.
|
Horodatage Unix de la modification (timestamp) | 1647789510 |
