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Informatics, Volume 11, Issue 1

March 2024 - 12 articles

Cover Story: Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on information collected from surveys of university alumni. Five machine learning (ML) algorithms were used for data analysis, including the decision tree, random forest, gradient boosting, support vector machine, and neural network models. To achieve optimal prediction performance, we utilized the Bayesian optimization method to fine-tune the parameters of the five ML algorithms. The five ML models were compared with logistic and ordinal regression. Then, to extract the most important features of the best predictive model, we employed SHapley Additive exPlanations (SHAP), a novel methodology for extracting significant features in ML. View this paper
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Articles (12)

  • Article
  • Open Access
2 Citations
7,307 Views
30 Pages

One of the main obstacles in software development projects is requirement volatility (RV), which is defined as uncertainty or changes in software requirements during the development process. Therefore, this research tries to understand the underlying...

  • Article
  • Open Access
2 Citations
4,285 Views
17 Pages

As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of inform...

  • Article
  • Open Access
28 Citations
6,928 Views
21 Pages

Unveiling Insights: A Bibliometric Analysis of Artificial Intelligence in Teaching

  • Malinka Ivanova,
  • Gabriela Grosseck and
  • Carmen Holotescu

The penetration of intelligent applications in education is rapidly increasing, posing a number of questions of a different nature to the educational community. This paper is coming to analyze and outline the influence of artificial intelligence (AI)...

  • Article
  • Open Access
1 Citations
3,025 Views
16 Pages

Genealogical Data-Driven Visits of Historical Cemeteries

  • Angelica Lo Duca,
  • Matteo Abrate,
  • Andrea Marchetti and
  • Manuela Moretti

This paper describes the Integration of Archives and Cultural Places (IaCuP) project, which aims to integrate information about a historical cemetery, including its map and grave inventory, with genealogical and documentary knowledge extracted from r...

  • Article
  • Open Access
15 Citations
4,445 Views
34 Pages

As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation,...

  • Article
  • Open Access
3,429 Views
14 Pages

Wireless networks play a pivotal role in various domains, including industrial automation, autonomous vehicles, robotics, and mobile sensor networks. This research investigates the critical issue of packet loss in modern wireless networks and aims to...

  • Article
  • Open Access
5 Citations
4,301 Views
18 Pages

Exploring the Relationship between Career Satisfaction and University Learning Using Data Science Models

  • Sofía Ramos-Pulido,
  • Neil Hernández-Gress and
  • Gabriela Torres-Delgado

Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on i...

  • Article
  • Open Access
6 Citations
7,211 Views
18 Pages

Application of Augmented Reality Technology for Chest ECG Electrode Placement Practice

  • Charlee Kaewrat,
  • Dollaporn Anopas,
  • Si Thu Aung and
  • Yunyong Punsawad

This study presents an augmented reality application for training chest electrocardiography electrode placement. AR applications featuring augmented object displays and interactions have been developed to facilitate learning and training of electroca...

  • Article
  • Open Access
1 Citations
3,222 Views
15 Pages

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization

  • Aokun Chen,
  • Yunpeng Zhao,
  • Yi Zheng,
  • Hui Hu,
  • Xia Hu,
  • Jennifer N. Fishe,
  • William R. Hogan,
  • Elizabeth A. Shenkman,
  • Yi Guo and
  • Jiang Bian

It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous...

  • Article
  • Open Access
22 Citations
5,104 Views
20 Pages

Integrating IOTA’s Tangle with the Internet of Things for Sustainable Agriculture: A Proof-of-Concept Study on Rice Cultivation

  • Sandro Pullo,
  • Remo Pareschi,
  • Valentina Piantadosi,
  • Francesco Salzano and
  • Roberto Carlini

Addressing the critical challenges of resource inefficiency and environmental impact in the agrifood sector, this study explores the integration of Internet of Things (IoT) technologies with IOTA’s Tangle, a Distributed Ledger Technology (DLT)....

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Informatics - ISSN 2227-9709