Time-Related Natural Language Query Handling to Extract Autism Spectrum Disorder Information from Temporal Database
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4284-8_11
Reference14 articles.
1. Tang C, Zheng W, Zong Y, Qiu N, Lu C, Zhang X, Ke X, Guan C (2020) Automatic identification of high-risk autism spectrum disorder: a feasibility study using video and audio data under the still-face paradigm. IEEE Trans Neural Syst Rehabil Eng 28(11):2401–2410
2. Bhuvaneshwari R, Bavan PS, Harika PL, Mathubaala N (2022) Detection of autism spectrum disorder using machine learning. Int J Eng Res Technol (IJERT) 11(7):533–536
3. Fulford K, Olmsted A (2017) Mobile natural language database interface for accessing relational data. International conference on information society (i-Society), pp 86– 87
4. Kulkarni R, Kulkarni H, Balar K, Krishna P (2018) Cognitive natural language search using calibrated mesh. IEEE 17th international conference on cognitive informatics & cognitive computing, pp 174–178
5. Sadiq A, Al-Hiyali MI, Yahya N, Tang TB, Khan DM (2022) non-oscillatory connectivity approach for classification of autism spectrum disorder subtypes using resting-state fMRI. IEEE Access, 14049–14061
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