Open Access
Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
---|---|---|
Article Number | 01114 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/e3sconf/202339101114 | |
Published online | 05 June 2023 |
- L. Athota, V.K. Shukla, N. Pandey and A. Rana, “Chatbot for Healthcare System Using Artificial Intelligence”, 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, pp. 619–622, (2020). [Google Scholar]
- L. Zhang, Y. Yang, J. Zhou, C. Chen and L. He, “Retrieval-Polished Response Generation for Chatbot,” in IEEE Access, vol. 8, pp. 123882–123890, (2020). [CrossRef] [Google Scholar]
- G.K. Vamsi, A. Rasool and G. Hajela, “Chatbot: A Deep Neural Network Based Human to Machine Conversation Model,” 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, pp. 1–7, (2020). [Google Scholar]
- Rashmi Dharwadkar Mrs., Neeta A. Deshpande Dr. Mrs. “A Medical ChatBot”. International Journal of Computer Trends and Technology (IJCTT) V60(1):41–45 June (2018). [CrossRef] [Google Scholar]
- Lommatzsch, Andreas and Jonas Katins. “An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases.” Lernen, Wissen, Daten, Analysen (2019). [Google Scholar]
- A. Mondal, M. Dey, D. Das, S. Nagpal and K. Garda, “Chatbot: An automated conversation system for the educational domain,” International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Pattaya, Thailand, pp. 1–5, (2018). [Google Scholar]
- Kumar, Dr & Kanagavalli, N. & Daniya, T. “A Subject-Specific Chatbots for Primary Education End-users using Machine Learning Techniques” International Journal of Control and Automation. 13. 407–415, (2020). [Google Scholar]
- N. Albayrak, A. Özdemir and E. Zeydan, “An overview of artificial intelligence based chatbots and an example chatbot application,” 26th Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, (2018). [Google Scholar]
- T.P. Nagarhalli, V. Vaze and N.K. Rana, “A Review of Current Trends in the Development of Chatbot Systems,” 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, (2020). [Google Scholar]
- K. Souali, O. Rahmaoui, M. Ouzzif and I. El Haddioui, “Recommending Moodle Resources Using Chatbots,” 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Sorrento, Italy, pp. 677–680, (2019). [Google Scholar]
- A.M. Nayar, Z. Attar, S. Kachwala, T. Biswas and S.K. Wagh, “Dost-Mental Health Assistant Chatbot,” 5th International Conference on Advances in Science and Technology (ICAST), Mumbai, India, pp. 252–257,(2022). [Google Scholar]
- I. Syamsuddin and S.W. Warastuti, “Selecting ChatBot Platform for Health Enterprise Training: A Fuzzy AHP Approach,” in Ternational Conference on Decision Aid Sciences and Application (DASA), Sakheer, Bahrain, pp. 756–760, (2021). [CrossRef] [Google Scholar]
- R. Wang, J. Wang, Y. Liao and J. Wang, “Supervised Machine Learning Chatbots for Perinatal Mental Healthcare,” in Ternational Conference on Intelligent Computing and Human-Computer Interaction (ICHCI), Sanya, China, pp. 378–383, (2020). [Google Scholar]
- K. Wongpatikaseree, A. Ratikan, C. Damrongrat and K. Noibanngong, “Daily Health Monitoring Chatbot with Linear Regression,” 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, pp. 1–5, (2020). [Google Scholar]
- A. Nikam, S. Bhandari, A. Mhaske and S. Mantri, “Cardiovascular Disease Prediction Using Machine Learning Models,” IEEE Pune Section International Conference (PuneCon), Pune, India, pp. 22–27, (2020). [CrossRef] [Google Scholar]
- S. Fernandes, R. Gawas, P. Alvares, M. Femandes, D. Kale and S. Aswale, “Survey on Various Conversational Systems,” in Ternational Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, pp. 1–8, (2020). [Google Scholar]
- H.D. Nguyen, V.T. Pham, D.A. Tran and T.T. Le, “Intelligent tutoring chatbot for solving mathematical problems in High-school,” 2019 11th International Conference on Knowledge and Systems Engineering (KSE), Da Nang, Vietnam, pp. 1–6, (2019). [Google Scholar]
- Preez, S.J. & Lall, Manoj & Sinha, S. “An intelligent web-based voice chat bot”, (2009). [Google Scholar]
- S. Meshram, N. Naik, M. VR, T. More and S. Kharche, “Conversational AI: Chatbots,” 2021 International Conference on Intelligent Technologies (CONIT), Hubli, India, pp. 1–6, (2021). [Google Scholar]
- R. Parkar, Y. Payare, K. Mithari, J. Nambiar and J. Gupta, “AI And Web-Based Interactive College Enquiry Chatbot,” 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Pitesti, Romania, pp. 1–5, (2021). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.