Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms

Gasimova, Rena T.; Abbaslı, Rahim N.

doi:10.1016/j.eswa.2020.113559

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Data collection from sensors is an important first step. These sensors, strategically located throughout buildings, continuously collect data on temperature, humidity, lighting, occupancy, and other variables (Gasimova & Abbasli, 2020). These sensors' real-time insights provide a dynamic perspective of energy consumption patterns and occupancy behaviours.…”

Section: The Power Of Information Systems (Is) In Design Integrationmentioning

confidence: 99%

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Hu,

2023

J INFORM SYSTEMS ENG

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The integration of Information Systems (IS), Big Data Analytics (BDA), and Artificial Intelligence (AI) has ushered in a new era of energy-efficient design for rural residences. This study delves into the intricate synergy between technology and sustainability, unveiling the transformative potential of these tools in reshaping rural living spaces. The exploration spans from the conceptualization of designs to their real-world implementation, highlighting the pivotal role of IS in facilitating collaborative efforts among stakeholders. The study further uncovers the power of Big Data Analytics in deciphering energy consumption patterns, climatic variations, and occupant behaviours. These insights lay the groundwork for AI-powered simulations that optimize energy efficiency while ensuring occupant comfort. The study underscores the consequences of ineffective design, elucidating how it amplifies energy consumption, escalates environmental impact, and compromises residents' quality of life. In contrast, the integration of IS, BDA, and AI results in energy-efficient residences, marked by reduced energy usage, enhanced indoor comfort, and economic savings. Despite challenges such as limited resources, harsh climates, and technical expertise gaps, innovative solutions in the form of training programs, data privacy protocols, and collaborations emerge as beacons of progress. Looking to the future, emerging trends like smart grids, Internet of Things (IoT) integration, and AI-driven predictive maintenance shape the narrative of rural residences design. Rural communities stand poised for self-sufficiency and sustainability, empowered by the fusion of technology and ecological mindfulness. The recommendations presented in this study offer actionable insights for construction professionals, policymakers, and researchers, emphasizing interdisciplinary collaboration, continuous monitoring, and ongoing training. Future directions include greater investigation of new trends in sustainability, smart grids, and predictive maintenance, which will help rural communities become self-sufficient and environmentally conscientious.

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Section: The Power Of Information Systems (Is) In Design Integrationmentioning

confidence: 99%

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Hu,

2023

J INFORM SYSTEMS ENG

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“…In recent years, the continuous development of artificial intelligence algorithms such as deep learning and the emergence of ever-changing new media have contributed to the growth of various emerging technologies that have gradually changed the way information is relayed [1][2][3]. At the same time, digital technology, as one of the emerging technologies, has also been developing rapidly, and this technology is especially reflected in the field of picture books, creating a new wave that has a profound impact on the way children read.…”

Section: Introductionmentioning

confidence: 99%

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Liu¹,

Peng²,

Cao³

2023

3C TIC

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In recent years, the field of deep learning has flourished, not only breaking through many difficult problems that are difficult to be solved by traditional algorithms but also bursting with greater vitality when combined with other fields. For example, product emotional design based on deep learning can integrate users' emotional needs into the actual product design. In this paper, we aim to use deep learning and affective technology in the creation of AR interactive picture books to transform the reading process from static to dynamic, enrich visual stimulation, and increase the fun and interactivity of reading. In this paper, based on the three-level theoretical model of emotion, the emotion labeling results are input to a deep neural network for learning, to establish an emotion-based recognition model for picture book images. The results show that the model can well analyze the emotion of images in AR picture books, and the accuracy of prediction is a big improvement compared with traditional machine recognition algorithms. The application of AR virtual implantation technology in interactive picture books on the market is often just a marketing gimmick while combining deep learning and emotional technology can better create diverse interactive picture books to meet children's emotional reading needs, enhance reading engagement, and stimulate children's creativity.

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Machine learning applied to healthcare: a conceptual review

Gomes

Kovaleski

Pagani

et al. 2022

Journal of Medical Engineering & Technology

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Advancement of the search process for digital heritage by utilizing artificial intelligence algorithms

Cited by 6 publications

References 17 publications

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Leveraging Information Systems, Big Data Analytics, and AI for Energy-Efficient Design of Rural Residences

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Machine learning applied to healthcare: a conceptual review

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