Background: Traceability has gained significant importance in supply chain (SC) networks, especially driven by the growing need for transparency, regulatory compliance and consumer assurance. Although blockchain technology addresses several tradition...
The effectiveness evaluation of the traceability system (TS) is a tool for enterprises to achieve the required traceability level. It plays an important role not only for planning system implementation before development but also for analyzing system...
Supply chain traceability is a dominant concern for many industries, regulators, and policymakers. In the textile and apparel industries, social, environmental, and sustainability issues are frequent causes for concern, highlighting the need for effe...
Food waste stemmed from food contamination and ineffective quality control is a significant challenge to food management. Supply chain traceability has become an essential task of the food industry for guaranteeing food quality and safety and reducin...
19 August 2022
To achieve the goal of carbon neutrality, many countries have established regional carbon emission trading markets and tried to build a low-carbon economic system. At present, the implementation of carbon emission trading and low-carbon economic syst...
The halal industry is constantly developing into a broader concept of the Islamic economy, an economic activity that follows the Islamic-based principle. As a populous Muslim country, Indonesia follows the growth trend by aiming to dominate the globa...
Hymenopellis raphanipes is a high-value edible fungus with a short shelf life and high perishability, which poses significant challenges for quality control and safety assurance throughout its supply chain. Ensuring effective traceability is essentia...
28 May 2022
The grain and oil food supply chain has a complex structure, long turnover cycles, and many stakeholders, so it is challenging to maintain the security of this supply chain. A reliable traceability system for the whole grain and oil food supply chain...
The global transition towards a clean energy system underscores the critical role of Green Electricity Certificates (GECs), yet their effectiveness is often hampered by an inability to credibly trace environmental attributes from generation to consum...
To address the challenges in remote monitoring of power system secondary equipment, including dispersed multi-source heterogeneous corpora, inconsistent terminology, non-standardized expressions, unstable knowledge granularity, and fragmented evidenc...
Trustworthy product quality data forms the foundation of digital and distributed manufacturing, yet current centralized product quality management (PQM) systems remain vulnerable to data manipulation, traceability breaks, single points of failure, an...
Reliable sustainability analysis requires more than the presence of ESG disclosure; it requires information that is specific, traceable and analytically usable. This exploratory study assesses a purposive corpus of 36 organisations in Bulgaria and Mo...
The construction of nuclear power plants (NPPs) involves complex and long-duration projects where schedule delays critically affect project performance. To overcome this challenge, Advanced Work Packaging (AWP) has emerged as a promising alternative...
Power-system safety is fundamental to protecting lives and ensuring reliable grid operation. Yet, hierarchical text classification (HTC) methods struggle with domain-dense accident narratives that require cross-sentence reasoning, often yielding limi...
Calcium carbonate (CaCO3) from the seaweed Lithothamnium calcareum is a suitable dietary supplement for the prevention of osteoporosis, due to its chemical composition. This study compared CaCO3 from L. calcareum to CaCO3 from oyster shell and inorga...
Short videos have become a primary medium for news delivery, but their low cost, rapid diffusion, and multimodal nature make misinformation easier to generate and harder to verify. Existing methods often rely on single-modality cues or shallow cross-...
Smaller data environments with expert systems are generally driven by the need for interpretable reasoning frameworks, such as fuzzy rule-based systems (FRBS), which cannot often quantify epistemic uncertainty during decision-making. This study propo...
Modern vehicles depend on over-the-air (OTA) updates to maintain security, safety, and functionality, but the attack surface of an update campaign depends on the underlying electrical/electronic architecture and on the controls assumed for update orc...
Despite considerable effort and analysis over the last two to three decades, no integrated scenario yet exists for data quality frameworks. Currently, the choice is between several frameworks dependent upon the type and use of data. While the framewo...
The industrial manufacturing model is undergoing a transformation from a product-centric model to a customer-centric one. Driven by customized requirements, the complexity of products and the requirements for quality have increased, which pose a chal...
Retrieval-augmented generation (RAG) has shown strong potential for knowledge-intensive tasks, yet its performance degrades sharply when applied to structured long-context documents in power systems, where dense entity–relation dependencies, cr...
As Large Language Models (LLMs) are core components in Retrieval-Augmented Generation (RAG) systems for knowledge-intensive tasks, concerns regarding hallucinations, redundancy, and unverifiable outputs have intensified, particularly in high-stakes d...
Encrypted transport increasingly limits the visibility required by intrusion detection systems (IDS), motivating payload-free learning from flow statistics and protocol metadata. We introduce GCP, a graph-contrastive pretraining framework that casts...
Open-access surface electromyography (sEMG) datasets are widely used for gesture-recognition research; however, limited documentation of acquisition and post-processing may prevent verification of whether the numerical structure imposed during acquis...
The construction (AEC) industry has consolidated Building Information Modelling (BIM) as the standard for producing and managing project information, yet its analytical exploitation in Business Intelligence (BI) environments remains manual, ad hoc an...
The Blockchain-Based Medical Insurance Transaction System (BMIT) developed in this study addresses key issues in traditional medical insurance—information silos, data tampering, and privacy breaches—through innovative blockchain architect...