Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems

Samsudeen, Salomi; Ali, Mohammed Hasan; Vignesh, C. Chandru; Kamruzzaman, Mohammad; Prakash, Chander; Thirugnanam, Tamizharasi; Daniel, Joseph

doi:10.1007/s10878-023-00994-y

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Another application could be the use of IoT-enabled "smart" textbooks that include embedded sensors that track student interactions with the content and provide personalized feedback and learning resources to the student. The AI/IoT user-centric approach also gives students more autonomy and control over their learning experience, leading to increased engagement and motivation [45]. However, the AI/IoT user-centric approach also has some limitations.…”

Section: Ai/iot User-centricmentioning

confidence: 99%

AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities

Kamruzzaman,

Alanazi,

Alruwaili

et al. 2023

Sustainability

Self Cite

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The integration of AI and the IoT in education has the potential to revolutionize the way we learn. Personalized learning, real-time feedback and support, and immersive learning experiences are some of the benefits that AI and the IoT can bring to the education system. In this regard, this research paper aims to investigate how AI and the IoT can be integrated into sustainable education in order to provide students with personalized and immersive learning experiences during pandemics, such as COVID-19, for smart cities. The study’s key findings report that AI can be employed in sustainable education through personalized learning. AI-powered algorithms can be used to analyze student data and create personalized learning experiences for each student. This includes providing students with tailored content, assessments, and feedback that align with their unique learning style and pace. Additionally, AI can be used to communicate with students in a more natural and human-like way, making the learning experience more engaging and interactive. Another key aspect of the integration of AI and the IoT in education obtained from this research is the ability to provide real-time feedback and support. IoT-enabled devices, such as smart cameras and microphones, can be used to monitor student engagement and provide real-time feedback. AI algorithms can then use these data to adapt the learning experience in real time. IoT-enabled devices, such as tablets and laptops, can be used to collect and process student work, allowing for the automatic grading of assignments and assessments. Additionally, IoT technology can facilitate remote monitoring and grading of student work, which would be particularly useful for students who cannot attend traditional classroom settings. Furthermore, AI and the IoT can also be used to create intelligent personal learning environments (PLEs) that provide students with personalized, adaptive, and engaging learning experiences. IoT-enabled devices, such as smart cameras and microphones, combined with AI-powered algorithms, can provide real-time feedback and support, allowing the PLE to adapt to the student’s needs and preferences. It is concluded that integrating AI and the IoT in sustainable education can revolutionize the way people learn, providing students with personalized, real-time feedback and support and opening up new opportunities for remote and disadvantaged students. However, it will be important to ensure that the use of AI and the IoT in education is ethical and responsible to ensure that all students have equal access to the benefits of these technologies.

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Section: Ai/iot User-centricmentioning

confidence: 99%

AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities

Kamruzzaman,

Alanazi,

Alruwaili

et al. 2023

Sustainability

Self Cite

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show abstract

“…Equally important 2= (1,2,3) Somewhere between equally important and slightly important 3= (2,3,4) Slightly important 4= (3,4,5) Somewhere between slightly important and more important 5= (4,5,6) More important 6= (5,6,7) Somewhere between more important and much more important 7= (6,7,8) Far more important 8= (7,8,9) Somewhere between far more important and important 9= (8,9,9) Vital The fuzzy consistent matrix is established Fuzzy consistent judgment matrix R represents the comparison of the relative importance between this level and its related elements for an element in the upper level. It is assumed that the element C in the upper level is the same as the element a1, a2,..., and is connected, then the fuzzy consistent judgment matrix can be expressed as Figure 7 (1) Establish a fuzzy consistent matrix A fuzzy consistent matrix is consistent with human decision thinking.…”

Section: Fuzzy Number Semantic Valuementioning

confidence: 99%

An operational risk assessment method for petrochemical plants based on deep learning

Liu

2023

Preprint

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Petrochemical plants are an important guarantee for the development of people's lives, and the most important thing in petrochemical plants is the risk assessment method in operations. Based on the research of deep learning algorithms, this paper innovatively proposes a risk assessment method for petrochemical plants based on the combination of human motion simulation based on the micro-Doppler effect and fuzzy hierarchical analysis. The original monitoring image of the petrochemical plant is invoked to identify the target of human movement in the job site and generate the spectral diagram of human movement, and the operation safety risk of the petrochemical plant is assessed through the combination of fuzzy function and hierarchical analysis, which can effectively prevent the illegal actions of the on-site operators and provide protection for the personal safety of the on-site operators. This method plays an important role in improving the safety of petrochemical plants.

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Evaluation of Cloud Platform Operation and Maintenance Time Series Knowledge Graph State by Integrating Knowledge Graph and Graph Learning

Li,

Chen,

Feng

et al. 2023

2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST)

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Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems

Cited by 7 publications

References 19 publications

AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities

AI- and IoT-Assisted Sustainable Education Systems during Pandemics, such as COVID-19, for Smart Cities

An operational risk assessment method for petrochemical plants based on deep learning

Evaluation of Cloud Platform Operation and Maintenance Time Series Knowledge Graph State by Integrating Knowledge Graph and Graph Learning

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