Results 11 to 20 of about 51,582 (265)
Tokenization in the Theory of Knowledge
Encyclopedia, 2023 Tokenization is a procedure for recovering the elements of interest in a sequence of data. This term is commonly used to describe an initial step in the processing of programming languages, and also for the preparation of input data in the case of ...
Robert Friedman
doaj +1 more source
Sensors, 2023 With the promotion of Industry 4.0, which emphasizes interconnected and intelligent devices, several factories have introduced numerous terminal Internet of Things (IoT) devices to collect relevant data or monitor the health status of equipment.
Yu-Sheng Yang +5 more
doaj +1 more source
Features of the functioning of the token blood in the texts of Ukrainian folk spells
Вісник Харківського національного університету імені В. Н. Каразіна. Серія Філологія. Vìsnik Harkìvsʹkogo nacìonalʹnogo unìversitetu ìmenì V.N. Karazìna. Serìâ Fìlologìâ., 2022 The article examines the peculiarities of the functioning of the token blood in the texts of Ukrainian spells. In the article we determine dominant thematic groups of spells, in which the semantic content of the analyzed token is reflected.
Svitlana Shuliak
doaj +1 more source
Graphs and Combinatorics, 2011 For a graph $G$ and integer $k\geq1$, we define the token graph $F_k(G)$ to be the graph with vertex set all $k$-subsets of $V(G)$, where two vertices are adjacent in $F_k(G)$ whenever their symmetric difference is a pair of adjacent vertices in $G$.
Fabila-Monroy, Ruy +5 more
openaire +3 more sources
Наука и техника, 2020 Currently, the migration fact of many transport enterprises to the Internet cloud has been noted, where the use ofinformation technology is one of the factors for the active use of enterprise innovative potential, revealing new opportunity to increase ...
D. N. Mesnik
doaj +1 more source
FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training
IEEE Access, 2023 Federated learning (FL) is an on-device distributed learning scheme that does not require training devices to transfer their data to a centralized facility. The goal of federated learning is to learn a global model over several iterations.
Umer Majeed +4 more
doaj +1 more source
Identifying Real Estate Opportunities Using Machine Learning
Applied Sciences, 2018 The real estate market is exposed to many fluctuations in prices because of existing correlations with many variables, some of which cannot be controlled or might even be unknown. Housing prices can increase rapidly (or in some cases, also drop very fast)
Alejandro Baldominos +5 more
doaj +1 more source
Crypto as an object of contractual obligation under the Regulation on Markets in Crypto Asset (MICA) and the Digital Assets Act (DAA) [PDF]
Zbornik Radova Pravnog Fakulteta u Nišu, 2023 The paper examines the legal status and treatment of crypto assets in the context of contractual obligations. The analysis begins by considering the evolution from cryptocurrencies to crypto-goods, with special reference to definitions and terms used in ...
Cvetković Mihajlo
doaj +1 more source
Companies’ Crypto wallets Identification for Auditing Purposes
Учёт. Анализ. Аудит, 2023 The article examines the problem of identifying the crypto wallet of an audited organization, which is becoming increasingly important and relevant as crypto economy develops.
A. V. Tetyushin
doaj +1 more source
S tosowanie smart kontraktów w obrocie konsumenckim – wybrane problemy [PDF]
internetowy Kwartalnik Antymonopolowy i Regulacyjny, 2021 Postępujący rozwój nowych technologii przyczynia się do coraz częstszego wykorzystania smart kontraktu w obrocie konsumenckim. Wynika to z jego specyficznych cech, które wpływają na dostępność i łatwość korzystania z tego rozwiązania prawnego, lecz mogą ...
Małgorzata Krzemińska +1 more
doaj +1 more source