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Relevant bibliographies by topics / Ai assistant

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Journal articles

Academic literature on the topic 'Ai assistant'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Ai assistant"

1

Hodson, Hal. "Meet your AI assistant." New Scientist 224, no. 3000-3001 (2014): 17. http://dx.doi.org/10.1016/s0262-4079(14)62426-x.

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2

Park, Soo Jin, Eun Ji Lee, Se Ik Kim, Seong-Ho Kong, Chang Wook Jeong, and Hee Seung Kim. "Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study." JMIR Medical Informatics 8, no. 5 (2020): e17647. http://dx.doi.org/10.2196/17647.

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Background Techniques utilizing artificial intelligence (AI) are rapidly growing in medical research and development, especially in the operating room. However, the application of AI in the operating room has been limited to small tasks or software, such as clinical decision systems. It still largely depends on human resources and technology involving the surgeons’ hands. Therefore, we conceptualized AI-based solo surgery (AISS) defined as laparoscopic surgery conducted by only one surgeon with support from an AI-based surgical assistant system, and we performed an electronic survey on the cli

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3

Choudhari, Prof Y. D. "Emotion Recognizing Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1554–59. http://dx.doi.org/10.22214/ijraset.2021.35151.

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Virtual Assistants are the most effective product of AI which makes people’s life easier. They are used in many machines. With AI many other technologies are also born like emotion recognition. This paper presents the AI with the feature of emotion recognition. This AI will complete the task by considering the emotion of user. As so as it takes the command it will analyze the task but before it perform it will recognize the emotion of user and then according to it, it will proceed for task completion. We have used Python language with machine learning algorithm. It is very effective to detect

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4

Hsieh, Sara H., and Crystal T. Lee. "Hey Alexa: examining the effect of perceived socialness in usage intentions of AI assistant-enabled smart speaker." Journal of Research in Interactive Marketing 15, no. 2 (2021): 267–94. http://dx.doi.org/10.1108/jrim-11-2019-0179.

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Purpose Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers. De

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5

Akash Roshan and Meenu Garg, Dr Neha Agrawal. "Intelligent Voice Assisstant for Desktop using NLP and AI." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 328–31. http://dx.doi.org/10.46501/ijmtst061261.

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In the coming future, virtual assistants will automate nearly all of the manual and time-consuming tasks. This project is an implementation of an intelligent voice assistant for Windows which includes the functionality of security through facial recognition. Until this day, there has not been any good alternative for Windows, so this project aims to implement a voice assistant for the Windows platform while describing the difficulties and challenges that lies in this task.

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6

Yousefzadeh, Mehdi, Parsa Esfahanian, Seyed Mohammad Sadegh Movahed, et al. "ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans." PLOS ONE 16, no. 5 (2021): e0250952. http://dx.doi.org/10.1371/journal.pone.0250952.

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The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep learning framework for COVID-19 infection diagnosis using chest CT scans. Our framework incorporates an EfficientNetB3-based feature extractor. We employed three datasets; the CC-CCII set, the MasihDaneshvari Hospital (MDH) cohort, and the MosMedData cohort. Overall, these datasets constitute 7184 scans from 5693 subjects and include the COVID-19, non

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7

S., Samruddhi, Abhinav A., Komal K., Swapnadip B., and Rahul M. "RIO: An AI based Virtual Assistant." International Journal of Computer Applications 180, no. 45 (2018): 10–15. http://dx.doi.org/10.5120/ijca2018917138.

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8

Kim, Sang-Gook, Sang Min Yoon, Maria Yang, Jungwoo Choi, Haluk Akay, and Edward Burnell. "AI for design: Virtual design assistant." CIRP Annals 68, no. 1 (2019): 141–44. http://dx.doi.org/10.1016/j.cirp.2019.03.024.

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9

Kaushik, Parth. "Next Generation AI based Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. 4 (2021): 505–8. http://dx.doi.org/10.22214/ijraset.2021.33663.

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10

Kishorekumar, Mr A., Mr E. Ezhilarasan, and Mr R. Parthiban. "Intelligent Drone based Personal Assistant using Artificial Intelligence AI." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1618–21. http://dx.doi.org/10.31142/ijtsrd11482.

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