Long, D., & Magerko, B. What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 1–16. https://doi.org/10.1145/3313831.3376727 (2020)
Ng, D. T. K., Leung, J. K….
Category: 7. Maths
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An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization
This study introduced an HDLMODC-ICSA method. The HDLMODC-ICSA method primarily focuses on an accurate and real-time object recognition method to aid visually challenged persons. To accomplish that, the proposed HDLMODC-ICSA method involves…
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Analysis of deep learning-based technological innovation governance on the intelligent allocation of innovation resources in the high-technology industry
Data collection and parameter setting
This study constructs a comprehensive dataset to support experimental analyses. The dataset is primarily sourced from multiple public databases and internal enterprise data to ensure diversity and…
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An integrated microwave neural network for broadband computation and communication
Wang, P. et al. Multi-gigabit millimeter wave wireless communications for 5G: from fixed access to cellular networks. IEEE Commun. Mag. 53, 168–178 (2015).
Li, K. et al. An integrated…
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Research on quality and safety risk identification of import and export toys based on the WOA-BP model
Data collection
This article uses relevant government websites and customs data as data sources and uses Python’s data crawling technology to extract text data related to the recall of import and export toys. At the same time, this article…
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Quantum granular-ball generation methods and their application in KNN classification
In this section, we will introduce two quantum granular-ball generation methods: one based on iterative splitting and the other on fixed splitting numbers. To show the practicality of granular-balls, a simple application of QGBkNN is introduced.
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Mechanistic understanding and validation of large AI models with SemanticLens
We begin in ‘Understanding the inner knowledge of AI models’ by demonstrating how we can understand the internal knowledge of AI models by searching and describing the semantic space. ‘Auditing concept alignment with expected reasoning’…
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Advanced machine learning framework for thyroid cancer epidemiology in Iran through integration of environmental socioeconomic and health system predictors
Incidence rates
The ASR of TC in Iran from 2014 to 2017 demonstrated considerable variation across provinces and between sexes. The overall four-year ASR for the entire population was 11.13 per 100,000 (95% CI: 0–28.2), with a marked sex…
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Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption
The section outlines the thorough methodology of the planned research. Figure 1 represents the details of the proposed approach. This paper initially gathers an IoT-based healthcare dataset from the Kaggle repository.
Fig. 1 Description of secure…
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Reconfigurable artificial neuron and synapse enabled through a single alloyed memristor
Jia, Z. et al. The importance of resource awareness in artificial intelligence for healthcare. Nat. Mach. Intell. 5, 687–698 (2023).
Burr, G. W. et al. Neuromorphic computing using…
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