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Information, Volume 14, Issue 3

March 2023 - 61 articles

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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

Articles (61)

  • Article
  • Open Access
21 Citations
8,269 Views
11 Pages

22 March 2023

In classification, feature selection engineering helps in choosing the most relevant data attributes to learn from. It determines the set of features to be rejected, supposing their low contribution in discriminating the labels. The effectiveness of...

  • Article
  • Open Access
1 Citations
3,007 Views
20 Pages

22 March 2023

R&D strategies play a decisive role in the promotion of enterprise innovation output and innovation ability. In order to thoroughly investigate the R&D strategies of iron and steel enterprises, an R&D strategy analysis framework based on...

  • Article
  • Open Access
32 Citations
5,689 Views
10 Pages

Fundamental Research Challenges for Distributed Computing Continuum Systems

  • Victor Casamayor Pujol,
  • Andrea Morichetta,
  • Ilir Murturi,
  • Praveen Kumar Donta and
  • Schahram Dustdar

22 March 2023

This article discusses four fundamental topics for future Distributed Computing Continuum Systems: their representation, model, lifelong learning, and business model. Further, it presents techniques and concepts that can be useful to define these fou...

  • Article
  • Open Access
12 Citations
4,084 Views
24 Pages

A Reference Architecture for Enabling Interoperability and Data Sovereignty in the Agricultural Data Space

  • Rodrigo Falcão,
  • Raghad Matar,
  • Bernd Rauch,
  • Frank Elberzhager and
  • Matthias Koch

21 March 2023

Agriculture is one of the major sectors of the global economy and also a software-intensive domain. The digital landscape of agriculture is composed of multiple digital ecosystems, which together constitute an agricultural domain ecosystem, also refe...

  • Article
  • Open Access
9 Citations
3,116 Views
29 Pages

20 March 2023

Background: despite a broad consensus on their importance, applications of systems thinking in policymaking and practice have been limited. This is partly caused by the longstanding practice of developing systems maps and software in the intention of...

  • Article
  • Open Access
13 Citations
6,432 Views
23 Pages

20 March 2023

Over the past few years, word embeddings and bidirectional encoder representations from transformers (BERT) models have brought better solutions to learning text representations for natural language processing (NLP) and other tasks. Many NLP applicat...

  • Article
  • Open Access
11 Citations
5,364 Views
13 Pages

Efficient Dynamic Reconfigurable CNN Accelerator for Edge Intelligence Computing on FPGA

  • Kaisheng Shi,
  • Mingwei Wang,
  • Xin Tan,
  • Qianghua Li and
  • Tao Lei

20 March 2023

This paper proposes an efficient dynamic reconfigurable CNN accelerator (EDRCA) for FPGAs to tackle the issues of limited hardware resources and low energy efficiency in the deployment of convolutional neural networks on embedded edge computing devic...

  • Article
  • Open Access
6 Citations
3,183 Views
23 Pages

20 March 2023

Several supervised machine learning models have been proposed and used to detect Android ransomware. These models were trained using different datasets from different sources. However, the age of the ransomware datasets was not considered when traini...

  • Review
  • Open Access
17 Citations
6,247 Views
30 Pages

A Systematic Literature Review on Human Ear Biometrics: Approaches, Algorithms, and Trend in the Last Decade

  • Oyediran George Oyebiyi,
  • Adebayo Abayomi-Alli,
  • Oluwasefunmi ‘Tale Arogundade,
  • Atika Qazi,
  • Agbotiname Lucky Imoize and
  • Joseph Bamidele Awotunde

17 March 2023

Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric procedures have been predominantly used to ensure identity and ear recognition techniques continue to provide very robust research prospects. This paper pr...

  • Review
  • Open Access
56 Citations
6,981 Views
19 Pages

17 March 2023

Cyber attack detection technology plays a vital role today, since cyber attacks have been causing great harm and loss to organizations and individuals. Feature selection is a necessary step for many cyber-attack detection systems, because it can redu...

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Information - ISSN 2078-2489Creative Common CC BY license