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Information, Volume 14, Issue 3

March 2023 - 61 articles

Cover Story: The emergence of COVID-19 generated a need for accurate timely information related to its spread. We propose two methods for using Twitter to help model the spread of COVID-19: machine learning algorithms trained in five languages are used to identify symptomatic individuals; using the geo-location attached to each tweet, we also map where people have symptoms. We calibrated an epidemiological model and then evaluated the usefulness of the data when making predictions of deaths in 50 US States, 16 Latin American countries, 2 European countries and 7 regions in the UK. Using such tweets from symptomatic individuals results in improvements in accuracy when predicting COVID-19 deaths. We also show we can extract useful data describing movements between UK regions. View this paper
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Articles (61)

  • Article
  • Open Access
13 Citations
3,106 Views
16 Pages

14 March 2023

In recent years, smart grids have integrated information and communication technologies into power networks, which brings new network security issues. Among the existing cyberattacks, the false data injection attack (FDIA) compromises state estimatio...

  • Article
  • Open Access
2 Citations
4,484 Views
12 Pages

Adapting Off-the-Shelf Speech Recognition Systems for Novel Words

  • Wiam Fadel,
  • Toumi Bouchentouf,
  • Pierre-André Buvet and
  • Omar Bourja

13 March 2023

Current speech recognition systems with fixed vocabularies have difficulties recognizing Out-of-Vocabulary words (OOVs) such as proper nouns and new words. This leads to misunderstandings or even failures in dialog systems. Ensuring effective speech...

  • Review
  • Open Access
15 Citations
5,181 Views
23 Pages

Quo Vadis Business Simulation Games in the 21st Century?

  • Mirjana Pejić Bach,
  • Tamara Ćurlin,
  • Ana Marija Stjepić and
  • Maja Meško

13 March 2023

Business simulation games have become popular in higher education and business environments. The paper aims to identify the primary research trends and topics of business simulation games research using a systematic and automated literature review wi...

  • Article
  • Open Access
4 Citations
3,092 Views
13 Pages

11 March 2023

Human resource data sharing is very important for the cooperation of human resource institutions. Since the human resource data-sharing service needs to take into account the needs of individuals and talent service institutions, it faces issues such...

  • Article
  • Open Access
10 Citations
4,329 Views
24 Pages

Ontology Learning Applications of Knowledge Base Construction for Microelectronic Systems Information

  • Frank Wawrzik,
  • Khushnood Adil Rafique,
  • Farin Rahman and
  • Christoph Grimm

9 March 2023

Knowledge base construction (KBC) using AI has been one of the key goals of this highly popular technology since its emergence, as it helps to comprehend everything, including relations, around us. The construction of knowledge bases can summarize a...

  • Article
  • Open Access
14 Citations
4,581 Views
18 Pages

QoS-Aware Resource Management in 5G and 6G Cloud-Based Architectures with Priorities

  • Spiros (Spyridon) Louvros,
  • Michael Paraskevas and
  • Theofilos Chrysikos

9 March 2023

Fifth-generation and more importantly the forthcoming sixth-generation networks have been given special care for latency and are designed to support low latency applications including a high flexibility New Radio (NR) interface that can be configured...

  • Article
  • Open Access
24 Citations
4,589 Views
13 Pages

9 March 2023

This study proposes the integration of attention modules, feature-fusion blocks, and baseline convolutional neural networks for developing a robust multi-path network that leverages its multiple feature-extraction blocks for non-hierarchical mining o...

  • Article
  • Open Access
16 Citations
7,629 Views
20 Pages

Scams and Solutions in Cryptocurrencies—A Survey Analyzing Existing Machine Learning Models

  • Lakshmi Priya Krishnan,
  • Iman Vakilinia,
  • Sandeep Reddivari and
  • Sanjay Ahuja

8 March 2023

With the emergence of cryptocurrencies and Blockchain technology, the financial sector is turning its gaze toward this latest wave. The use of cryptocurrencies is becoming very common for multiple services. Food chains, network service providers, tec...

  • Article
  • Open Access
7 Citations
3,582 Views
60 Pages

Quickening Data-Aware Conformance Checking through Temporal Algebras

  • Giacomo Bergami,
  • Samuel Appleby and
  • Graham Morgan

8 March 2023

A temporal model describes processes as a sequence of observable events characterised by distinguishable actions in time. Conformance checking allows these models to determine whether any sequence of temporally ordered and fully-observable events com...

  • Article
  • Open Access
4 Citations
3,162 Views
20 Pages

Architecture-Oriented Agent-Based Simulations and Machine Learning Solution: The Case of Tsunami Emergency Analysis for Local Decision Makers

  • Pavel Čech,
  • Martin Mattoš,
  • Viera Anderková,
  • František Babič,
  • Bilal Naji Alhasnawi,
  • Vladimír Bureš,
  • Milan Kořínek,
  • Kamila Štekerová,
  • Martina Husáková and
  • Marek Zanker
  • + 2 authors

8 March 2023

Tsunamis are a perilous natural phenomenon endangering growing coastal populations and tourists in many seaside resorts. Failures in responding to recent tsunami events stresses the importance of further research in building a robust tsunami warning...

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Information - ISSN 2078-2489