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Computers, Volume 14, Issue 4

April 2025 - 43 articles

Cover Story: Organizations in production and logistics often face challenges in evaluating their data mining capabilities, especially during the cost-intensive data preparation phase. While maturity models exist for broader domains like data management and artificial intelligence, none is specifically addressing the data mining process. Due to the complexity of this process, the associated phases have to be evaluated in detail. This article reviews relevant maturity models, identifies key factors influencing data preparation, and introduces a prototype data preparation maturity model. This marks an initial step toward a framework for assessing and improving data mining maturity in industrial contexts. View this paper
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Articles (43)

  • Article
  • Open Access
1,408 Views
24 Pages

The emergent field of embedded computing presents a challenging scenario for ubiquitous music (ubimus) design. Available tools demand specific technical knowledge—as exemplified in the techniques involved in programming integrated circuits of c...

  • Article
  • Open Access
6 Citations
5,879 Views
18 Pages

Generative Artificial Intelligence (AI) has emerged as a transformative tool in art education, offering innovative avenues for creativity and learning. However, concerns persist among educators regarding the potential misuse of text-to-image generato...

  • Article
  • Open Access
1 Citations
946 Views
13 Pages

Design of an Emotional Facial Recognition Task in a 3D Environment

  • Gemma Quirantes-Gutierrez,
  • Ángeles F. Estévez,
  • Gabriel Artés Ordoño and
  • Ginesa López-Crespo

The recognition of emotional facial expressions is a key skill for social adaptation. Previous studies have shown that clinical and subclinical populations, such as those diagnosed with schizophrenia or autism spectrum disorder, have a significant de...

  • Article
  • Open Access
659 Views
18 Pages

Role of Roadside Units in Cluster Head Election and Coverage Maximization for Vehicle Emergency Services

  • Ravneet Kaur,
  • Robin Doss,
  • Lei Pan,
  • Chaitanya Singla and
  • Selvarajah Thuseethan

Efficient clustering algorithms are critical for enabling the timely dissemination of emergency messages across maximum coverage areas in vehicular networks. While existing clustering approaches demonstrate stability and scalability, there has been a...

  • Article
  • Open Access
2 Citations
1,562 Views
23 Pages

Kalman Filter-Enhanced Data Aggregation in LoRaWAN-Based IoT Framework for Aquaculture Monitoring in Sargassum sp. Cultivation

  • Misbahuddin Misbahuddin,
  • Nunik Cokrowati,
  • Muhamad Syamsu Iqbal,
  • Obie Farobie,
  • Apip Amrullah and
  • Lusi Ernawati

This study presents a LoRaWAN-based IoT framework for robust data aggregation in Sargassum sp. cultivation, integrating multi-sensor monitoring and Kalman filter-based data enhancement. The system employs water quality sensors—including tempera...

  • Systematic Review
  • Open Access
3 Citations
7,726 Views
55 Pages

A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks

  • Ivanna Daniela Cevallos,
  • Marco E. Benalcázar,
  • Ángel Leonardo Valdivieso Caraguay,
  • Jonathan A. Zea and
  • Lorena Isabel Barona-López

This review examines the field of machine unlearning in neural networks, an area driven by data privacy regulations such as the General Data Protection Regulation and the California Consumer Privacy Act. By analyzing 37 primary studies of machine unl...

  • Article
  • Open Access
4 Citations
1,944 Views
31 Pages

Enhancing Smart Home Efficiency with Heuristic-Based Energy Optimization

  • Yasir Abbas Khan,
  • Faris Kateb,
  • Ateeq Ur Rehman,
  • Atif Sardar Khan,
  • Fazal Qudus Khan,
  • Sadeeq Jan and
  • Ali Naser Alkhathlan

In smart homes, heavy reliance on appliance automation has increased, along with the energy demand in developing urban areas, making efficient energy management an important factor. To address the scheduling of appliances under Demand-Side Management...

  • Review
  • Open Access
2 Citations
5,142 Views
28 Pages

This systematic study seeks to evaluate the use and impact of transformer models in the healthcare domain, with a particular emphasis on their usefulness in tackling key medical difficulties and performing critical natural language processing (NLP) f...

  • Article
  • Open Access
1,169 Views
13 Pages

The rise of 3D heterogeneous packaging holds promise for increased performance in applications such as AI by bringing compute and memory modules into close proximity. This increased performance comes with increased thermal management challenges. This...

  • Article
  • Open Access
2,118 Views
23 Pages

Companies face uncertainties evaluating their own capabilities when implementing data analytics or data mining. Data mining is a valuable process used to analyze data and support decisions based on the knowledge generated, creating a pipeline from th...

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Computers - ISSN 2073-431X