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Digital
Scopus
ISSN 2673-6470 · MDPI AG · 215 articles in the index
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Digital and Data Sovereignty in Digital Platforms: Qualitative Review and Comparative Policy Analysis
Data are becoming increasingly crucial to business and social digitalization, as such data have become a strategic asset that accelerates economic competitiveness and digitalization of society. In a societal context, it is important to maintain complete control over data, mainly once it is to be…
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Human Digital Twins for Smart and Sustainable Hospital Operations: Trends Analysis and a Value-Sensitive Framework
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 principles of Industry 5.0 (I5.0), HDTs offer new…
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Bridge Surface Defect Detection via Heterogeneous Feature Fusion and Multi-Scale Enhancement
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-based detector that integrates HeteroFusionNet, a…
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Evaluation and Optimization of Manufacturing Supply Chain Resilience
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 indicator fusion, a six-dimensional resilience…
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Teachers’ Readiness to Integrate Artificial Intelligence into Classroom Practice: Development and Psychometric Validation of the TRi-AI Scale Using Factor Analysis, Measurement Invariance, and Network Psychometrics
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 Teachers’ Readiness to integrate Artificial Intelligence…
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Edge AI Gas-Sensing Project in Vocational Education: A Mixed-Methods Study of Problem-Solving Attitudes
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. Thirty-eight students specializing in Electrical…
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Energy Optimization Strategies in IoT-Based Wireless Sensor Networks: A Systematic Review
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 these devices rely on finite battery capacities…
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From Users to Designers: An In-Service Teacher Workshop for Mobile Game-Based Learning Experiences
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 find creative solutions to challenges. This…
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Digitally Driven Agricultural New Quality Productive Forces and Cultivated Land Multifunctionality in the Yangtze River Basin
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 by a singular production focus, resulting in…
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Intelligent Environments in Manufacturing Ecosystems: Improving Innovation Performance Through Digital Platforms and Connected Intelligence
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 capabilities distributed across humans…
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Correction: Cebrián Cifuentes et al. The Vision of University Students from the Educational Field in the Integration of ChatGPT. Digital 2024, 4, 648–659
In the original publication [...]
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Managing the Unmanageable: Multimodal Artificial Intelligence for Unstructured Data Management and Analysis
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 forms such as text, audio, images, and video. These…
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Vis/NIR-Based Wireless Sensing for Potatoes
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 costly, non-portable and lack wireless in-situ…
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Deep Learning in Lunar Regolith Image Processing: A Review
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 robustness and transferability of existing methods. Unlike…
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A Semantic Clustering Framework for Discovering Latent Offense Patterns: A Case Study of Thai Police Records
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, dimensionality reduction, and unsupervised clustering. Two…
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Low Cost Edge-Based Image Interpolation Method Using First- and Second-Order Edge Detector Information
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 similar manner and do not differentiate between…
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Integrating AI into Smart Logistics Management: A Comprehensive Review
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 (NLP), computer vision (CV), internet of things…
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Development and Validation of MyHTCare: An mHealth Application for Remote Monitoring and Self-Management of Hypertension
(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) technologies, supported by cloud-based…
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Comparative Assessment of Machine Learning and Neural Network Models for Asbestos–Cement Detection in VNIR Images
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 demonstrated excellent capabilities for material…
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Correction: Abbu et al. Building Digital-Ready Leaders: Development and Validation of the Human-Centric Digital Leadership Scale. Digital 2025, 5, 7
In the original publication [...]