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Suggested Topics within your search.
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Private information in public spaces: Facial recognition in the times of smart urban governance
Published 2021-02-01“…Prior work: In order to accomplish so, this article analyzes this phenomenon from a capitalism surveillance framework perspective, in light of international data protection standards and with a primary focus on the analysis of the processing of citizens' data in the provision of public services Approach: The main approaches used are literature review and case studies. …”
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Application of artificial intelligence in triage in emergencies and disasters: a systematic review
Published 2024-11-01“…Implementing intelligent triage systems faced challenges such as trust issues, training needs, equipment shortages, and data privacy concerns. Conclusion Developing assessment systems using artificial intelligence enables timely treatment and better resuscitation services for people injured in disasters. …”
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Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives
Published 2025-05-01“…Precision agriculture presents a viable solution by optimizing resource use, enhancing efficiency, and fostering sustainable practices through data-driven decision-making supported by advanced sensors and Internet of Things (IoT) technologies. …”
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Developing a data-informed care planning improvement intervention in long-term care in Nova Scotia: protocol for an advisory-led interpretive qualitative study
Published 2025-05-01“…This study aims to develop a data-informed care planning improvement intervention that uses routinely collected data to guide resident-centred care planning in LTC. …”
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Anonymization in web auctions using Zero-Knowledge Proof in Blockchain technology
Published 2025-06-01“…However, the centralized nature of traditional e-commerce platforms raises concerns about data control, privacy, and potential single points of failure. …”
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Fingernail analysis management system using microscopy sensor and blockchain technology
Published 2018-03-01“…This work uses the highly anonymous blockchain technology to effectively protect data privacy and manage each user’s data through the blockchain, in which any change or manipulation can be recorded and tracked, and the data security is improved. …”
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Local large language model‐assisted literature mining for on‐surface reactions
Published 2025-03-01“…Herein, we introduce a method for extracting scientific data from unstructured texts using a local LLM, exemplifying its applications to scientific literatures on the topic of on‐surface reactions. …”
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ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects
Published 2023-11-01“…Furthermore, the review discusses the ethical considerations that arise with AI use in health care, including data privacy, AI interpretability, and the risk of AI-induced disparities. …”
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Blockchain-enabled cross-border insurance: from legal issues, solution design, to implementation
Published 2024-05-01“…However, when it comes to cross-border insurance service, current solutions fall short in effectively navigating the legal and compliance complexities inherent in cross-border insurance service delivery. When transmitting data across borders, it is essential to adhere to the legal requirements of cross-border laws and regulations, especially considering the variations in regional data protection and privacy legislation. …”
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Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution
Published 2025-05-01“…By integrating Post-Quantum Cryptography (PQC) with Quantum Key Distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutability for patient records in a post-quantum era are ensured. …”
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Integrity verified lightweight ciphering for secure medical image sharing between embedded SoCs
Published 2025-03-01“…A 512-bit hashing scheme using the Whirlpool algorithm is implemented to maintain data integrity, providing a robust hash comparison mechanism. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption
Published 2025-08-01“…Major obstacles include high initial investment costs, fragmented land holdings, diverse cropping systems, limited farmer awareness, lack of technical skills, inadequate digital literacy, complex AI algorithms, unreliable infrastructure, insufficient high-quality training data, poor internet connectivity, data privacy concerns, and a lack of supportive government policies. …”
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Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector
Published 2025-06-01“…Five bots were deployed, one for each of the most commonly used university browsers, enabling comprehensive data collection across multiple platforms. …”
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A systematic review of digital twins’ potential for citizen participation and influence in land use agenda-setting
Published 2025-04-01“…The findings also reveal two ways of citizen participation: (1) providing data for developing digital twins and (2) utilising digital twins to analyse and identify key land use challenges and to push forward land use claims and proposals within a policy system.…”
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Personalization in Mobile Activity Recognition System Using -Medoids Clustering Algorithm
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AI-based treatment of psychological conditions: the potential use, benefits and drawbacks
Published 2025-04-01“…This suggests that translating small-scale, short-term trials into effective large-scale, longer-term real-world applications may be a particular challenge. While the use of AI in mental healthcare appears to have potential, its use also raises important ethical and privacy concerns, potential risk of bias, and the risk of unintended consequences such as over-diagnosis or unnecessary treatment of normal emotional experiences. …”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning
Published 2023-06-01“…The workflow is simple, adaptable, and suitable for UK banks, demonstrating the potential for practical implementation and data privacy. Future work will extend our approach to UK banks, reformulate the problem as a multi-class classification, and introduce pre-training automated steps for data analysis and transformation. …”
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