| Title |
Cognitive Computing for Smart City Infrastructure Management |
| ID_Doc |
37679 |
| Authors |
Murthi, P; Chavhan, JJ; Sarkar, P; Khandelwal, K; Chandini, S; Dhanraj, JA |
| Title |
Cognitive Computing for Smart City Infrastructure Management |
| Year |
2024 |
| Published |
|
| DOI |
10.1109/ACCAI61061.2024.10602084 |
| Abstract |
The accelerated urbanisation and the increasing complexity of municipal infrastructure require the implementation of innovative strategies to regulate and improve urban environments. By integrating By integrating Cognitive computing, which combines AI, machine learning, and data analytics, could completely change how smart cities manage their infrastructure. The main goal of this project is to see what the possible benefits are of adding cognitive computing to the systems that are already in place, architecture of smart cities, resource allocation, enable predictive maintenance, facilitate informed decision-making, and provide real-time monitoring. We demonstrate the potential of cognitive systems to enhance the durability, duration, and efficacy of urban infrastructure through the examination of case studies and contemporary technological advancements. The results suggest that cognitive computing is the most effective solution for addressing current urban challenges and, as a result, is the most suitable choice for the development of intelligent cities in the future. |
| Author Keywords |
Cognitive Computing; Smart City; Infrastructure Management; Artificial Intelligence; Machine Learning; Predictive Maintenance; Urban Sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001283828700153 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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