Notice bibliographique
Résumé
Blockchains Empowering Technologies and Industrial Applications A comprehensive guide to the most recent developments in blockchains in theoretical and industrial perspectives Originally introduced as a method to keep track of Bitcoin transactions over a peer-to-peer network, blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography into a chain held in public databases. The use of this technology has grown since its cryptocurrency creation and now store three types of information: 1) transactions, including the date, time, and value of purchases; 2) records of participates in transactions; and 3) unique code known as a “hash” that distinguishes one block from another. A single block on the blockchain can hold 1 MB of data, or potentially thousands of transactions — this then can allow for hundreds of thousands of transactions to be recorded as each block can join the state-of-the-art blockchain. Blockchains provides a detailed overview of the latest and most innovative concepts, techniques, and applications related to the developing blockchain. Aimed at novices and experts on the subject, the book focuses on blockchain technologies, integrated systems, and use cases, specifically by looking at three major technical areas: blockchain platforms and distributed database technologies, consensus and fault tolerance, and Blockchain as a Service (BaaS). These avenues of research are essential to support blockchain functionalities, such as acquiring and updating existing data, securing data resources and the recovery of failures, and using blockchains in various services that range from cryptocurrencies to cloud automation. Blockchains readers will also find: Brainstorming activities that gradually builds the knowledge of readers on the described technology and deployment scenarios Investigation of specific topics such as novel networking protocols, wireless techniques, new infrastructure designs, operations management, and deployment strategies Discussion of technical challenges in blockchain, as well as how to manage cloud-based networks, service automation, and cyber security Numerous elementary and advanced examples on various topics at the end of the book that can be used for training purposes Illustrations including tables and diagrams to help elucidate points made throughout the volume Glossary of relevant terminology to blockchains in enterprise Blockchains is a useful reference for researchers in vehicular networking and computer science, as well as cloud storage providers and governmental offices for data management.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,450 | 0,991 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».