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Artificial intelligence models for pre-travel consultation and advice: yea or nay?

• Authors : Ngiam JN; Division of Infectious Diseases, Department of Medicine, National University Health System, Singapore, 1E Kent Ridge Rd, Singapore 119228, Singapore.; Koh MCY

Subjects: Artificial Intelligence* ; Travel*; Humans

• Source: Journal of travel medicine [J Travel Med] 2024 Jan 28; Vol. 31 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 9434456 Publication Model: Print Cited Medium: Internet ISSN:

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Greece used AI to curb COVID: what other nations can learn.

Subjects: Artificial Intelligence* ; COVID-19 Testing* ; Clinical Decision-Making*

• Source: Nature [Nature] 2021 Sep; Vol. 597 (7877), pp. 447-448.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print Cited Medium: Internet ISSN:

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A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

• Authors : Ravi L; School of Computing, SASTRA University, Thanjavur, Tamil Nadu 613401, India.; Vairavasundaram S

Subjects: Algorithms* ; Artificial Intelligence* ; Internet*

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2016; Vol. 2016, pp. 1291358. Date of Electronic Publication: 2016 Mar 16.Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Traveling by Headset: Immersive VR for Language Learning

• Authors : Chun, Dorothy M.; Karimi, Honeiah; Sañosa, David Joshua

Subjects: Second Language Learning; Second Language Instruction; Computer Software

• Source: CALICO Journal. 2022 39(2):129-149.21

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Complete vision-based traffic sign recognition supported by an I2V communication system.

• Authors : García-Garrido MA; Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain.; Ocaña M

Subjects: Artificial Intelligence* ; Automobile Driving* ; Location Directories and Signs*

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2012; Vol. 12 (2), pp. 1148-1169. Date of Electronic Publication: 2012 Jan 30.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1424-8220

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A study of health effects of long-distance ocean voyages on seamen using a data classification approach.

• Authors : Lu Y; College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China.; Gao Y

Subjects: Blood Chemical Analysis* ; Naval Medicine* ; Travel*

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2010 Mar 10; Vol. 10, pp. 13. Date of Electronic Publication: 2010 Mar 10.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Role of Artificial Intelligence in travel decision making and tourism product selling.

• Authors : Chen, Chen; Wei, Zhao

Subjects: ARTIFICIAL intelligence; CONSUMER behavior; DECISION making

• Source: Asia Pacific Journal of Tourism Research; Mar2024, Vol. 29 Issue 3, p239-253, 15p

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A Third Of Travelers Are Likely To Use ChatGPT To Plan A Trip, Says Survey.

• Authors : Kelleher, Suzanne Rowan (AUTHOR)

Subjects: *ARTIFICIAL intelligence; CHATGPT; TRAVELERS

• Source: Forbes.com. 5/10/2023, pN.PAG-N.PAG. 1p.

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Agricola

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Trip Planning Management System.

• Authors : Liyanapathirana, Chethana; Rupasinghe, Lakmal; H. R. V. H., Ranathunga

Subjects: TRAVEL planning; AUTOMATION; ARTIFICIAL neural networks

• Source: International Research Journal of Innovations in Engineering & Technology; Oct2023, Vol. 7 Issue 10, p479-486, 8p

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