Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine learning based Unique Perfume Flavour Creation Using Quantitative Structure-Activity Relationship (QSAR) Subject The topic of the resource Artificial Intelligence; Data Analytics; Human Intelligence; Machine Learning; Natural Language Processing; Perfume industry Description An account of the resource Artificial intelligence played a vital role in brings revolutionary changes in the field of perfumery. It is much evident with events including the success of Philyra, exhibitions showcasing the ideas of this concept. Machine learning made it user friendly and more comfortable for the users by means of suggestive interaction. Machine learning also benefited the perfumers in helping them to choose the best combinations and likely successful outcomes. With growing concern about a healthy lifestyle, the thoughts about having an artificial intelligence to predict the user friendliness could be a huge success. This definitely would require a huge database comprising a large detail about diseases and the causes and combinational results of the various chemicals used in perfumery. This system may not be a completely successful one but would be reliable to a better extent. It would gain a positive response from various governmental health departments and would be encouraged by the consumers. Also, another possible development would be Artificial intelligence that is able to predict how long a perfume can last. This would let the consumer choose the one that suits the need. Through this idea we could now get a clear idea about the progress that we have made till this day. Further we can also be driven into vague ideas about how the future of Artificial intelligence would likely grow into. Machine learning and deep learning is a major pillar of artificial intelligence with larger application. Coming to our domain of discussion, artificial intelligence changed the way that things were in the past centuries about fragrance. This article proposed Quantitative structure-activity relationship (QSAR) method is used to predict the best perfume flavour. The proposed system also reduces mean absolute error (MAE). The proposed QSAR is also reducing the chemical composition and increase the perfume quality. 2021 IEEE. Creator An entity primarily responsible for making the resource Sushma S.; Sundaram N.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, pp. 1397-1402. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCMC51019.2021.9418246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCMC51019.2021.9418246</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106026326&amp;doi=10.1109%2FICCMC51019.2021.9418246&amp;partnerID=40&amp;md5=bcb6064875e39ebe0b11ebafb948ea38" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106026326&amp;doi=10.1109%2fICCMC51019.2021.9418246&amp;partnerID=40&amp;md5=bcb6064875e39ebe0b11ebafb948ea38</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540360-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sushma S., Deemed to Be University, Christ, Department of CSE, Bangalore, India; Sundaram N., University of Applied Sciences Wzburg-Schweinfurt, Faculty of Mechatronics, Germany; Jayapandian N., Deemed to Be University, Christ, Department of CSE, Bangalore, India