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Smart City Assistance and Discovery Platform: GIS Discovery and Grievance Management
Authors
1 2 3 4Department of Information Science and Engineering Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. 5 Project Guide, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India.
Article Information
- Published In
- Volume 6, Issue 6 (2026)
- Published Online
- November-December 2026
- Pages
- 11-19
- Article Type
- Original Article
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References
1. G. Shanmugam and A. Dharani, “Revolutionizing civic complaints with intelligent complaint management system for smart city,” Int. Res. J. Modernization Eng., Technol. Sci. (IRJMETS), vol. 7, no. 5, pp. 7518–7523, May 2025.
2. F. Shama, A. Aziz, and L. B. M. Deya, “CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning,” SoftwareX, vol. 27, Art. no. 101829, 2024, doi: 10.1016/j.softx.2024.101829.
3. S. Anand, S. Gupta, V. Darbari, and S. Kohli, “Crack-Pot: Autonomous road crack and pothole detection,” in Proc. Digital Image Computing: Techniques and Applications (DICTA), 2018, pp. 1–6.
4. H. Maeda, Y. Sekimoto, T. Seto, T. Kashiyama, and H. Omata, “Road damage detection and classification using deep neural networks with smartphone images,” Comput.-Aided Civil Infrastruct. Eng., vol. 33, no. 12, pp. 1127–1141, 2018.
5. C. Mertz, S. Varadharajan, S. Jose, K. Sharma, L. Wander, and J. Wang, “City-wide road distress monitoring with smartphones,” in Proc. ITS World Congress, 2014, pp. 1–9.
6. E. Adamopoulou and L. Moussiades, “Chatbots: History, technology, and applications,” Mach. Learn. Appl., vol. 2, 2020.
7. A. Chaidrata et al., “Intent matching based customer services chatbot with natural language understanding,” in Proc. 5th Int. Conf. Commun. Inf. Syst. (ICCIS), 2021; arXiv:2202.00480, 2022.
8. G. Maier, “OpenStreetMap, the Wikipedia map,” Region, vol. 1, no. 1, pp. R3–R10, 2014.
9. S. Chopra, A. Singh, and A. Singh, “An authentication based scheme for mobile applications using THJWT,” in CEUR Workshop Proc., vol. 3244, paper 02, 2022.
10. O. V. Romaniuk and O. O. Shapovalova, “Use of the MERN stack in web application development,” in Proc. Vinnytsia Nat. Tech. Univ. Conf., 2024.
11. R. T. Fielding, “Architectural styles and the design of network-based software architectures,” Ph.D. dissertation, Univ. California, Irvine, CA, USA, 2000.
12. OWASP Foundation, “OWASP Top 10 – 2021: The ten most critical web application security risks,” 2021.
13. Ecma International, ECMAScript 2015 Language Specification, ECMA-262, 6th ed., Geneva, Switzerland, 2015.
14. T. Hughes-Croucher and M. Wilson, Node.js: Up and Running. Sebastopol, CA, USA: O’Reilly Media, 2012.
15. Chodorow, MongoDB: The Definitive Guide, 2nd ed. Sebastopol, CA, USA: O’Reilly Media, 2013.
2. F. Shama, A. Aziz, and L. B. M. Deya, “CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning,” SoftwareX, vol. 27, Art. no. 101829, 2024, doi: 10.1016/j.softx.2024.101829.
3. S. Anand, S. Gupta, V. Darbari, and S. Kohli, “Crack-Pot: Autonomous road crack and pothole detection,” in Proc. Digital Image Computing: Techniques and Applications (DICTA), 2018, pp. 1–6.
4. H. Maeda, Y. Sekimoto, T. Seto, T. Kashiyama, and H. Omata, “Road damage detection and classification using deep neural networks with smartphone images,” Comput.-Aided Civil Infrastruct. Eng., vol. 33, no. 12, pp. 1127–1141, 2018.
5. C. Mertz, S. Varadharajan, S. Jose, K. Sharma, L. Wander, and J. Wang, “City-wide road distress monitoring with smartphones,” in Proc. ITS World Congress, 2014, pp. 1–9.
6. E. Adamopoulou and L. Moussiades, “Chatbots: History, technology, and applications,” Mach. Learn. Appl., vol. 2, 2020.
7. A. Chaidrata et al., “Intent matching based customer services chatbot with natural language understanding,” in Proc. 5th Int. Conf. Commun. Inf. Syst. (ICCIS), 2021; arXiv:2202.00480, 2022.
8. G. Maier, “OpenStreetMap, the Wikipedia map,” Region, vol. 1, no. 1, pp. R3–R10, 2014.
9. S. Chopra, A. Singh, and A. Singh, “An authentication based scheme for mobile applications using THJWT,” in CEUR Workshop Proc., vol. 3244, paper 02, 2022.
10. O. V. Romaniuk and O. O. Shapovalova, “Use of the MERN stack in web application development,” in Proc. Vinnytsia Nat. Tech. Univ. Conf., 2024.
11. R. T. Fielding, “Architectural styles and the design of network-based software architectures,” Ph.D. dissertation, Univ. California, Irvine, CA, USA, 2000.
12. OWASP Foundation, “OWASP Top 10 – 2021: The ten most critical web application security risks,” 2021.
13. Ecma International, ECMAScript 2015 Language Specification, ECMA-262, 6th ed., Geneva, Switzerland, 2015.
14. T. Hughes-Croucher and M. Wilson, Node.js: Up and Running. Sebastopol, CA, USA: O’Reilly Media, 2012.
15. Chodorow, MongoDB: The Definitive Guide, 2nd ed. Sebastopol, CA, USA: O’Reilly Media, 2013.
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