Description
Chair Lenuta Alboaie
ODL & TFI Virtual Room A
The paper studies the feasibility of building a shared AS blockchain infrastructure employing a collaborative game theory approach. Game theory is used due to its versatility on analyzing situation where the outcome depends on the actions of several actors (AS) and on the estimated payoff when an actor makes a decision. The games chosen are in the category of Cooperative Game type, where...
Abstract - Working from home will become a more standardized and accepted thing; it will take a long time for people to return to the office, which will continue to focus on everything related to accessibility, remote technology and data retrieval. All those who were involved in transforming the teaching process from traditional to online, were not prepared for this and encountered a number of...
Maintaining a fair environment in the academia has
always been of high importance. Leaving ethics aside, it is a
fundamental factor for an efficient and prosperous educational
process. This process is continuously changing and evolving,
always trying to perfect itself. However, with all the benefits,
it also creates a new context for cheating and fraud, that we are
aiming to keep up with and...
In this paper, we propose the “Optimal Byzantine Fault Tolerance” consensus algorithm for permissioned replicated distributed systems with Byzantine fault tolerance. It seems to achieve total fairness, in the sense that it is impossible for an attacker to manipulate which of two transactions will be chosen to be first in the consensus order. It has asynchrony, no leaders, no round robin and no...
IoT devices are growing rapidly in number and networks become more complex than ever. Therefore, network traffic prediction is a topic that needs special attention, allowing network administrators to be able to continuously adjust network parameters. This paper is focused on Echo State Networks (ESN), a quite new type of Recurrent Networks which can be used for times series prediction....
Recent work in machine learning has provided promising results regarding short text classification. However, in case of technical abstracts and datasets, there are some cases when unsupervised algorithms fail to reach the optimal results. This paper presents a detailed description of a text classification system for short technical texts and datasets from a single domain, together with...
