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Digital, Volume 6, Issue 3

2026 September - 26 articles

Cover Story: Digital twin (DT) technology has expanded beyond its industrial origins into environmental and territorial applications. This review maps DT deployments from 2020 to 2025, analysing 117 publications through a 16-parameter framework, and it identifies three shifts: from industrial assets to living entities, from discrete systems to Earth-scale representations, and from deterministic models to ecological frameworks. The results show growth and diversification, with urban systems a consolidated domain and growing coastal, forestry, freshwater and Earth-system applications. Moreover, the findings expand the notion of territorial digital twins as an evolving paradigm, underscoring the momentum generated by the EU digital and environmental policy and the need for integrated tools for responding to key environmental challenges. View this paper
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Articles (26)

  • Article
  • Open Access

10 September 2026

Digital transformation can improve supply chain sensing, but recovery depends on whether reliable information is converted into coordinated operational action. This study develops a simulation-based case study that integrates data-quality-adjusted in...

  • Systematic Review
  • Open Access
165 Views
45 Pages

Human Digital Twins for Smart and Sustainable Hospital Operations: Trends Analysis and a Value-Sensitive Framework

  • Lucia Gazzaneo,
  • Francesco Longo,
  • Atam Kumar Menghwar,
  • Giovanni Mirabelli and
  • Vittorio Solina

5 September 2026

Human Digital Twins (HDTs) extend traditional Digital Twin (DT) concepts by modeling both humans and hospital processes to support smarter and more human-centered healthcare. By integrating Industry 4.0 (I4.0) technologies with the human-centric prin...

  • Article
  • Open Access
219 Views
38 Pages

Bridge Surface Defect Detection via Heterogeneous Feature Fusion and Multi-Scale Enhancement

  • Baoyong Zhang,
  • Xueqiu Wang,
  • Zhipeng Liu,
  • Songyun Hu,
  • Chuanyi Ma and
  • Jian Liu

3 September 2026

Automated bridge surface defect detection is essential for improving the efficiency and objectivity of infrastructure inspection under complex field imaging conditions. This study proposes a Multi-Scale Detection Transformer (MS-DETR), an RT-DETR-bas...

  • Article
  • Open Access
250 Views
21 Pages

1 September 2026

The increasing integration of Artificial Intelligence (AI) into classroom practice has created the need for valid instruments to assess teachers’ readiness for AI integration. The present study developed and psychometrically validated the Teach...

  • Article
  • Open Access
225 Views
28 Pages

From Users to Designers: An In-Service Teacher Workshop for Mobile Game-Based Learning Experiences

  • João Ferreira-Santos,
  • Lúcia Pombo,
  • Margarida M. Marques,
  • Rita Rodrigues and
  • Teresa B. Neto

1 September 2026

STEAM approaches create new opportunities for students to develop thinking skills connected to technical and scientific education. By combining different areas of knowledge, STEAM encourages students to explore ideas from multiple perspectives and fi...

  • Article
  • Open Access
286 Views
24 Pages

28 August 2026

This exploratory mixed-methods study examines how an edge artificial intelligence (edge AI) gas-sensing project is associated with vocational upper-secondary students’ self-reported problem-solving attitudes in an authentic classroom setting. T...

  • Systematic Review
  • Open Access
625 Views
39 Pages

24 August 2026

Wireless Sensor Networks (WSNs) are fundamental to the expansion of the Internet of Things (IoT), yet severe node energy constraints remain the primary bottleneck for remote environmental monitoring where power infrastructure is unavailable. Because...

  • Article
  • Open Access
296 Views
30 Pages

24 August 2026

Manufacturing sectors and ecosystems can improve their innovation performance through digital platforms, connected intelligence, and organisational settings that enable collaboration among experts and ecosystem members. The convergence of skills and...

  • Article
  • Open Access
217 Views
39 Pages

Digitally Driven Agricultural New Quality Productive Forces and Cultivated Land Multifunctionality in the Yangtze River Basin

  • Xinying Li,
  • Zhanpeng Qu,
  • Shuohuan Yan,
  • Shanni Wang,
  • Haozhaoxing Liao,
  • Yue Zhang,
  • Siyuan Li and
  • Yue Wang

22 August 2026

Transitioning cultivated land from a narrowly defined production resource into a coordinated multifunctional asset is a cornerstone of agricultural modernization. Despite this imperative, current land utilization in China remains largely constrained...

  • Article
  • Open Access
316 Views
22 Pages

A Semantic Clustering Framework for Discovering Latent Offense Patterns: A Case Study of Thai Police Records

  • Krittakom Srijiranon,
  • Tanatorn Tanantong,
  • Nattanon Keeratiwattapong,
  • Nawarerk Chalarak and
  • Usanut Sangtongdee

18 August 2026

Crime offense descriptions are often recorded as unstructured text, making large-scale analysis and categorization difficult. This study proposes a semantic clustering framework for Thai crime offense descriptions using sentence embeddings, dimension...

(This article belongs to the Special Issue Applications of Artificial Intelligence and Data Management in Data Analysis)
  • Review
  • Open Access
764 Views
32 Pages

17 August 2026

Today, data are no longer confined to numerical values arranged in row-by-column matrices or stored neatly within relational databases. One of the defining characteristics of big data is its high variety, encompassing unstructured and multimodal form...

(This article belongs to the Special Issue Applications of Artificial Intelligence and Data Management in Data Analysis)
  • Review
  • Open Access
590 Views
32 Pages

Deep Learning in Lunar Regolith Image Processing: A Review

  • Shengming Guo,
  • Lu Zhang,
  • Lingxin Wang,
  • Kaibo Shang,
  • Shengyuan Jiang,
  • Yixin Bao and
  • Yifeng Wang

7 August 2026

Recent lunar missions have generated a growing demand for automated and reliable processing of lunar regolith images. However, imaging degradations, limited annotations, and the lack of paired clean–degraded reference data still hinder the robu...

  • Article
  • Open Access
279 Views
15 Pages

Vis/NIR-Based Wireless Sensing for Potatoes

  • Chunling Liu,
  • Ruihua Zhang,
  • Wenjing Zhao,
  • Yuhan Gong,
  • Yingle Du,
  • Tao Sun,
  • Wei Liu and
  • Xinqing Xiao

5 August 2026

Potato quality is determined by multiple physicochemical indicators, including dry matter content (DC), starch content (SC), and color parameters (lightness L*, redness a*, yellowness b*, and browning index (BI)). Conventional spectrometers are costl...

  • Article
  • Open Access
418 Views
17 Pages

5 August 2026

Image interpolation plays an important role in many computer vision and image processing tasks, such as image resizing, denoising, and restoration. Most traditional interpolation algorithms work on the time domain and deal with all image regions in a...

  • Review
  • Open Access
1 Citations
1,028 Views
34 Pages

Integrating AI into Smart Logistics Management: A Comprehensive Review

  • Shifat Shima Akter,
  • Muhammad Omair Khan,
  • Md Ariful Islam Mozumder,
  • Yungsun Choi and
  • Hee Cheol Kim

29 July 2026

This paper provides a comprehensive and systematic review of artificial intelligence (AI) integration in smart logistics management, evaluating seven core technology clusters: machine learning (ML), deep learning (DL), natural language processing (NL...

(This article belongs to the Topic Sustainable Supply Chain Practices in A Digital Age)
  • Article
  • Open Access
478 Views
16 Pages

Development and Validation of MyHTCare: An mHealth Application for Remote Monitoring and Self-Management of Hypertension

  • Prajwal Lemuel Salins,
  • Poornima P. Kundapur,
  • Sabu Karakka Mandapam,
  • Reshmi Bhageerathy,
  • Suma Nair,
  • Kirthinatha Ballala,
  • Roshan David Jathanna and
  • Raksha Kamath

28 July 2026

(1) Background: Hypertension is a prevalent chronic condition requiring sustained self-management to prevent complications; however, long-term adherence to monitoring, medication, and lifestyle modification remains suboptimal. Mobile health (mHealth)...

  • Article
  • Open Access
366 Views
23 Pages

Comparative Assessment of Machine Learning and Neural Network Models for Asbestos–Cement Detection in VNIR Images

  • Gabriel Elías Chanchí-Golondrino,
  • Isaac Esteban Camargo Freile,
  • Julio Eduardo Mejía Manzano,
  • Manuel Saba and
  • Manuel Alejando Ospina-Alarcón

27 July 2026

Hyperspectral imaging is a well-established remote sensing technique for material detection and classification, relying on hundreds of reflectance bands to exploit the spectral signatures of surface materials. Although hyperspectral imagery has demon...

(This article belongs to the Special Issue Applications of Artificial Intelligence and Data Management in Data Analysis)
  • Article
  • Open Access
523 Views
23 Pages

14 July 2026

Customer prioritization in e-commerce remains dominated by value-based logics that allocate retention effort to the most profitable customers, even though risk-based targeting can be ineffective when intervention responsiveness is ignored. This study...

  • Article
  • Open Access
623 Views
30 Pages

10 July 2026

This study describes the second iteration of VLEPIC, a gamified and personalised virtual learning environment (VLE) for secondary English students in Ecuador. Adopting a design-based research approach, it focuses on student interaction and system imp...

(This article belongs to the Collection Multimedia-Based Digital Learning)
  • Article
  • Open Access
749 Views
27 Pages

A Big Data Analytics Framework with Interactive Dashboards for Decision-Support in Ecuador’s Agricultural Sector

  • Ashley Aguilar-Serrano,
  • Jean Ávila-Villaprado,
  • Maritza Pinta and
  • Bertha Mazon-Olivo

Ecuador’s agricultural sector plays a strategic role in the national economy; however, agricultural data remains fragmented across heterogeneous and isolated sources, limiting integrated analysis and evidence-based decision-making. This study p...

(This article belongs to the Special Issue Applications of Artificial Intelligence and Data Management in Data Analysis)
  • Systematic Review
  • Open Access
675 Views
42 Pages

A Systematic PRISMA Survey on Fault-Tolerant DNN Accelerator Architectures for Safety-Critical Systems

  • Farah Natiq Qassabbashi,
  • Shawkat Sabah Khairullah and
  • Shefa A. Dawwd

Deep Neural Networks (DNNs) are increasingly being used in the design of industrial safety-critical autonomous applications such as autonomous vehicles, industrial robotics, and medical instrumentation and control systems. Ensuring reliable and robus...

  • Review
  • Open Access
1,248 Views
33 Pages

A Scoping Review of Digital Twins Across Environmental and Territorial Applications

  • Letizia Artioli,
  • Giovanni Borga,
  • Pietro Costa,
  • Federica D’Acunto and
  • Filippo Iodice

25 June 2026

Digital twin (DT) technology has expanded far beyond its industrial origins, increasingly finding application across environmental and territorial domains. This review provides a structured mapping of DT deployments at environmental and territorial s...

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Digital - ISSN 2673-6470