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              <text>Smell Technology: Advancements and Prospects in Digital Scent Technology and Fragrance Algorithms</text>
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              <text>fragrance algorithm; innovation; Scent technology; smell technology; virtual reality</text>
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              <text>Smell technology, a rapidly expanding sector of the scent business, aims to digitally replicate and transmit aromas. Its applications include virtual reality, e-commerce, and healthcare. Recent advances in the field include the creation of smell algorithms and the use of artificial intelligence to create more realistic fragrances. Fragrance algorithms are mathematical models that predict the scent of a fragrance based on its chemical composition. They might be used to the perfume industry to streamline the production of perfumes and do away with the need for expensive trial-and-error methods. Artificial intelligence is also being used to create digital representations of fragrances that closely resemble the real thing by analysing the chemical composition of actual odours. A possible benefit of this technology in the healthcare sector is that synthetic odours may mimic the scents of diseases and aid physicians in making more precise diagnoses. Additionally, some companies are developing small devices that can be connected to computers or mobile devices to emit odours on demand, providing users of virtual reality, gaming, and online shopping with a more realistic experience. In spite of these advancements, it is still exceedingly challenging to recreate the complexity of natural scents, which can include hundreds of different components. With more research and development, there is still a tonne of promise for fragrance technology in the future.  2023 IEEE.</text>
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              <text>Sinha A.; Sharma V.; Gupta M.; Rao G.M.; Raj A.; Kumari A.; Alkhayyat A.</text>
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              <text>2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICCCNT56998.2023.10306663" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCCNT56998.2023.10306663&lt;/a&gt;
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              <text>ISBN: 979-835033509-5</text>
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              <text>Sinha A., Ignou, Department of Computer Science and Information Technology, New Delhi, India; Sharma V., Christ University, Institute of Information Technology, India; Gupta M., Rungta College of Engineering and Technology, Department of Physics, CG, Bhilia, India; Rao G.M., Koneru Lakshmaiah Education Foundation, India; Raj A., Galgotias University, School of Computing Science and Engineering, Greater Noida, India; Kumari A., Rkdf University, India; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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