Smart city fire surveillance: A deep state‐space model with intelligent agents
Abstract In the realm of smart city development, the integration of intelligent agents has emerged as a pivotal strategy to enhance the efficacy of search methodologies. This study introduces a novel state‐space navigational model employing intelligent agents tailored specifically for fire surveilla...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
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| Series: | IET Smart Cities |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/smc2.12086 |
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| _version_ | 1846165635915055104 |
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| author | A. Rehman F. Saeed M. M. Rathore A. Paul J.‐M. Kang |
| author_facet | A. Rehman F. Saeed M. M. Rathore A. Paul J.‐M. Kang |
| author_sort | A. Rehman |
| collection | DOAJ |
| description | Abstract In the realm of smart city development, the integration of intelligent agents has emerged as a pivotal strategy to enhance the efficacy of search methodologies. This study introduces a novel state‐space navigational model employing intelligent agents tailored specifically for fire surveillance in urban environments. Central to this model is the fusion of a convolutional neural network and multilayer perceptron, enabling accurate fire detection and localisation. Leveraging this capability, the intelligent agent proactively navigates through the search space, guided by the shortest path to the identified fire location. The utilisation of the A* algorithm as the search mechanism underscores the efficiency and efficacy of our proposed approach. Implemented in Python and Gephi, our method surpasses traditional search algorithms, both informed and uninformed, demonstrating its effectiveness in navigating urban landscapes for fire surveillance. This research study contributes significantly to the field by offering a robust solution for proactive fire detection and surveillance in smart city environments, thereby enhancing public safety and urban resilience. |
| format | Article |
| id | doaj-art-913c32a0e6d64972a7bb1c2b4a3956f8 |
| institution | Kabale University |
| issn | 2631-7680 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Cities |
| spelling | doaj-art-913c32a0e6d64972a7bb1c2b4a3956f82024-11-17T12:05:30ZengWileyIET Smart Cities2631-76802024-09-016319921010.1049/smc2.12086Smart city fire surveillance: A deep state‐space model with intelligent agentsA. Rehman0F. Saeed1M. M. Rathore2A. Paul3J.‐M. Kang4School of Computer Science and Engineering Kyungpook National University Daegu South KoreaDepartment of Artificial Intelligence Kyungpook National University Daegu South KoreaUniversity of New Brunswick Fredericton New Brunswick CanadaSchool of Computer Science and Engineering Kyungpook National University Daegu South KoreaDepartment of Artificial Intelligence Kyungpook National University Daegu South KoreaAbstract In the realm of smart city development, the integration of intelligent agents has emerged as a pivotal strategy to enhance the efficacy of search methodologies. This study introduces a novel state‐space navigational model employing intelligent agents tailored specifically for fire surveillance in urban environments. Central to this model is the fusion of a convolutional neural network and multilayer perceptron, enabling accurate fire detection and localisation. Leveraging this capability, the intelligent agent proactively navigates through the search space, guided by the shortest path to the identified fire location. The utilisation of the A* algorithm as the search mechanism underscores the efficiency and efficacy of our proposed approach. Implemented in Python and Gephi, our method surpasses traditional search algorithms, both informed and uninformed, demonstrating its effectiveness in navigating urban landscapes for fire surveillance. This research study contributes significantly to the field by offering a robust solution for proactive fire detection and surveillance in smart city environments, thereby enhancing public safety and urban resilience.https://doi.org/10.1049/smc2.12086smart citiessmart cities applications |
| spellingShingle | A. Rehman F. Saeed M. M. Rathore A. Paul J.‐M. Kang Smart city fire surveillance: A deep state‐space model with intelligent agents IET Smart Cities smart cities smart cities applications |
| title | Smart city fire surveillance: A deep state‐space model with intelligent agents |
| title_full | Smart city fire surveillance: A deep state‐space model with intelligent agents |
| title_fullStr | Smart city fire surveillance: A deep state‐space model with intelligent agents |
| title_full_unstemmed | Smart city fire surveillance: A deep state‐space model with intelligent agents |
| title_short | Smart city fire surveillance: A deep state‐space model with intelligent agents |
| title_sort | smart city fire surveillance a deep state space model with intelligent agents |
| topic | smart cities smart cities applications |
| url | https://doi.org/10.1049/smc2.12086 |
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