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Information, Volume 16, Issue 9

September 2025 - 109 articles

Cover Story: This work presents a real-world predictive maintenance solution in a food-processing facility, combining IoT sensor data on motor temperature and vibration with ERP production records. Ensemble machine-learning models such as XGBoost forecast critical threshold breaches up to ten minutes ahead, enabling proactive interventions and preventing costly failures. Through careful feature engineering, rigorous preprocessing, and sliding-window validation, the approach delivers high accuracy for temperature forecasting and promising results for vibration prediction. The deployed dashboard and API integrate into daily operations, reducing downtime, lowering maintenance costs, and improving equipment reliability—providing a scalable blueprint for Industry 4.0 manufacturers. View this paper
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Articles (109)

  • Article
  • Open Access
628 Views
23 Pages

From Digital Services to Sustainable Ones: Novel Industry 5.0 Environments Enhanced by Observability

  • Andrea Sabbioni,
  • Antonio Corradi,
  • Stefano Monti and
  • Carlos Roberto De Rolt

22 September 2025

The rapid evolution of Information Technologies is deeply transforming manufacturing, demanding innovative and enhanced production paradigms. Industry 5.0 further advances that transformation by fostering a more resilient, sustainable, and human-cent...

  • Article
  • Open Access
854 Views
26 Pages

22 September 2025

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that impairs motor function, often causing tremors and difficulty with movement control. A promising diagnostic method involves analyzing hand-drawn patterns, such as spirals...

  • Review
  • Open Access
1 Citations
1,159 Views
24 Pages

Leveraging Artificial Intelligence for Sustainable Tutoring and Dropout Prevention in Higher Education: A Scoping Review on Digital Transformation

  • Washington Raúl Fierro Saltos,
  • Fabian Eduardo Fierro Saltos,
  • Veloz Segura Elizabeth Alexandra and
  • Edgar Fabián Rivera Guzmán

22 September 2025

The increasing integration of artificial intelligence into educational processes offers new opportunities to address critical issues in higher education, such as student dropout, academic underperformance, and the need for personalized tutoring. This...

  • Article
  • Open Access
766 Views
23 Pages

21 September 2025

In recent years, the remarkable versatility of large language models (LLMs) has spurred considerable interest in leveraging their capabilities for recommendation systems. Critically, we argue that the intrinsic aptitude of LLMs for modeling sequentia...

  • Article
  • Open Access
803 Views
17 Pages

20 September 2025

Measuring the reliability of performance evaluations is particularly important when we evaluate non-deterministic models. This is the case of using large language models (LLMs) in classification tasks, where different runs generate different outputs....

  • Article
  • Open Access
508 Views
31 Pages

20 September 2025

Industrial process monitoring increasingly relies on sensor-generated time-series data, yet the lack of labels, high variability, and operational noise make it difficult to extract meaningful patterns using conventional methods. Existing clustering t...

  • Article
  • Open Access
978 Views
28 Pages

19 September 2025

The display contrast and efficiency of power consumption for LCDs (Liquid Crystal Displays) continue to attract attention from both industry and academia. Local dimming approaches for direct-type backlight modules (BLMs, also referred to as backlight...

  • Article
  • Open Access
913 Views
17 Pages

19 September 2025

The governance of artificial intelligence (AI) in education requires theoretical grounding that extends beyond system compliance toward outcome-focused accountability. The EU AI Act classifies AI-based learning outcome assessment (AIB-LOA) as a high-...

  • Article
  • Open Access
687 Views
35 Pages

A Modified PESTEL- and FCM-Driven Decision Support System to Mitigate the Extinction of Marine Species in the Mediterranean Sea

  • Konstantinos Kokkinos,
  • Theodoros Pitropakis,
  • Teodora Karagyaurova,
  • Ia Mosashvili and
  • Dimitris Klaoudatos

18 September 2025

The Mediterranean Sea, a biodiversity hotspot with over 8500 marine species, faces escalating threats from climate change, pollution, overfishing, and habitat degradation. This study introduces a novel Decision Support System (DSS) integrating a modi...

  • Article
  • Open Access
1,765 Views
25 Pages

Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges

  • Daniel A. P. Oliveira,
  • Eugénio Ribeiro and
  • David Martins de Matos

18 September 2025

Creating engaging narratives from visual data is crucial for automated digital media consumption, assistive technologies, and interactive entertainment. This survey covers methodologies used in the generation of these narratives, focusing on their pr...

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Information - ISSN 2078-2489