ARCHIVES

1. T. Tanmay, A. Bhardwaj and S. Sharma, ”E-Health Bot to change the Face of Medicare,” 2020 Research, Innovation, Knowledge Management and Technology Application for Business Sustainability (INBUSH), Greater Noida, India, 2020, pp. 49-54, doi: 10.1109/INBUSH46973.2020.9392125. keywords: Training; Technological innovation; Databases; Tools; Chatbot; Sustainable development; Business; Artificial Intelligence; MachineLearn- ing;Chatbot;Natural Language Understanding.
2. A. M. Luthfi, N. Karna and R. Mayasari, ”Google Maps API Implementation On IOT Platform For Tracking an Object Us- ing GPS,” 2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), Bali, Indonesia, 2019, pp. 126-131, doi: 10.1109/APWiMob48441.2019.8964139. keywords: NodeMCU;IoT platform;GPS;Google Maps API.
3. -C.Y. Huang, M. -C. Yang, C. -Y. Huang, Y. -J. Chen, M. - L. Wu and -W. Chen, ”A Chatbot-supported Smart Wireless Interactive Healthcare System for Weight Control and Health Pro- motion,” 2018 IEEE International Conference on Industrial Engi- neering and Engineering Management (IEEM), Bangkok, Thailand, 2018, pp. 1791-1795, doi: 10.1109/IEEM.2018.8607399. keywords: Smart phones;Obesity;Artificial intelligence;Diseases;Wireless com- munication;Weight measurement;Artificial intelligence;chatbot;mobile app;obese;overweight;public health;smartphone.
4. L. Athota, V. K. Shukla, N. Pandey and A. Rana, ”Chatbot for Healthcare System Using Artificial Intelligence,” 2020 8th Inter- national Conference on Reliability, Infocom Technologies and Op- timization (Trends and Future Directions) (ICRITO), Noida, In- dia, 2020, pp. 619-622, doi: 10.1109/ICRITO48877.2020.9197833.keywords: Medical services;Databases;Expert systems;Feature extrac- tion;Medical diagnostic imaging;Chatbot;Healthcare;Artificial Intelli- gence;Virtual Assistance;TFID;N-gram.
5. Y. Dian Harja and R. Sarno, ”Determine the best option for nearest medical services using Google maps API, Haversine and TOPSIS algorithm,” 2018 International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 2018, pp. 814-819, doi: 10.1109/ICOIACT.2018.8350709. keywords: Google;Hospitals;Mathematical model;Information and communica- tion technology;Decision making;Global Positioning System;Medical service;Location-based service;Google Maps API;Haversine;TOPSIS.
6. H. Li and L. Zhijian, ”The study and implementation of mo- bile GPS navigation system based on Google Maps,” 2010 In- ternational Conference on Computer and Information Application, Tianjin, China, 2010, pp. 87-90, doi: 10.1109/ICCIA.2010.6141544. keywords: Google;Global Positioning System;Mobile communica- tion;Servers;Mobile handsets;Cellular phones;mobile navigation sys- tem;Assisted global positioning systems (A-GPS);Google Maps API.
7. P. Srivastava and N. Singh, ”Automatized Medical Chatbot (Medi- bot),” 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), Mathura, India, 2020, pp. 351-354, doi: 10.1109/PARC49193.2020.236624. key-
words: Renewable energy sources;Layout;Process control;Medical ser- vices;Chatbots;Internet of Things;Medical diagnostic imaging;Human- machine interaction;Chatbot;Medical Chatbot;Natural Language Pro- cessing;Machine Learning;Bot.
8. S. Chakraborty et al., ”An AI-Based Medical Chatbot Model forInfectious Disease Prediction,” in IEEE Access, vol. 10, pp. 128469128483, 2022, doi:10.1109/ACCESS.2022.3227208.keywords: Chatbots;COVID- 19;Artificial intelligence;Medical services;Machine learning;Computer science;Analytical models;Artificial intelli- gence;chatbot;LSTM algorithm;machine learning;natural language processing;query processing.
9. J. H. Lee et al., ”Developing a Ophthalmic Chatbot System,” 2021 15th International Conference on Ubiquitous Information Man- agement and Communication (IMCOM), Seoul, Korea (South), 2021, pp. 1-7, doi: 10.1109/IMCOM51814.2021.9377398. keywords: Web
10. pages;Focusing;Chatbot;Information retrieval;Information manage- ment;Task analysis;Diseases;BERT;chatbot;deep learning;Google Di- alogftow;QA system.
11. D. Biswas, ”Privacy Preserving Chatbot Conversations,” 2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), Laguna Hills, CA, USA, 2020, pp. 179-182, doi: 10.1109/AIKE48582.2020.00035. keywords:
Knowledge engineering;Privacy;Filtering;Conferences;Benchmark test- ing;Chatbot;Encryption;Chatbots;Privacy;Natural Language Processing (NLP);Searchable Encryption.
12. M. A. Hossen, E. Zahir, H. M. Ata-E-Rabbi, M. A. Azam and K. H. Rahman, ”Developing a Mobile Automated Medi- cal Assistant for Hospitals in Bangladesh,” 2021 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2021, pp. 0366- 0372, doi: 10.1109/AIIoT52608.2021.9454236.keywords:Naviga- tion;Hospitals;Prototypes;User interfaces;Sensor fusion;Robot sensing systems;Security;Service Robots;SLAM;Navigation;ROS;Human-Robot Interaction;Robot Face;Autonomous Robots.
13. Y. Suresh, T. V. Kumar, F. Afreen, M. Muniruddin and C. A. Kumar, ”AAYU APP - Mobile Application for Healthcare Management System,” 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2020, pp. 808-813, doi: 10.1109/ICSSIT48917.2020.9214171. keywords: Hospitals;Insurance;Industries;Smart phones;Password;Biomedical equipment;Hospital Information;Hospital Equipment Information;First aid;Medicine information;Medical application.
14. M. Gandhi, V. K. Singh and V. Kumar, ”IntelliDoctor - AI based Medical Assistant,” 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India, 2019, pp. 162-168, doi: 10.1109/ICONSTEM.2019.8918778.
keywords: Artificial intelligence;Databases;Medical diagnostic imaging;Medical conditions;Sensors;Androids;Medical Diagnosis;AI inMedicine;Healthcare;Fitness Application;Machine Learning