Artificial Intelligence and Multi-Sensor Fusion Based Universal Fire Detection System for Smart Buildings Using IoT Techniques

Anshul Gaur1 Council of Scientific and Industrial Research, Central Building Research Institute Roorkee (CSIR-CBRI), Roorkee 247 667, IndiaView further author information

Abhishek Singh1 Council of Scientific and Industrial Research, Central Building Research Institute Roorkee (CSIR-CBRI), Roorkee 247 667, IndiaView further author information

Anurag Verma2 Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow-226 021

https://orcid.org/0000-0001-7621-1734 View further author information

Anuj Kumar1 Council of Scientific and Industrial Research, Central Building Research Institute Roorkee (CSIR-CBRI), Roorkee 247 667, India

https://orcid.org/0000-0001-6152-5482 View further author information

Citations (3)

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Thinh Vinh Le, Huan Thien Tran & Samia Bouzefrane. iTEVAC: an enhanced trusted evacuation system leveraging fog computing and IoT. Journal of Information and Telecommunication 0:0, pages 1-35.
Read now

Articles from other publishers (2)

Thinh Le Vinh, Huan Tran Thien, Trung Nguyen Huu & Samia Bouzefrane. (2023) TEVAC: Trusted Evacuation System based Fog Computing. TEVAC: Trusted Evacuation System based Fog Computing.

Sarah Shaharuddin, Khairul Nizam Abdul Maulud, Syed Ahmad Fadhli Syed Abdul Rahman, Adi Irfan Che Ani & Biswajeet Pradhan. (2023) The role of IoT sensor in smart building context for indoor fire hazard scenario: A systematic review of interdisciplinary articles. Internet of Things 22, pages 100803.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Artificial Intelligence and Multi-Sensor Fusion Based Universal Fire Detection System for Smart Buildings Using IoT Techniques

Articles from other publishers (2)

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Artificial Intelligence and Multi-Sensor Fusion Based Universal Fire Detection System for Smart Buildings Using IoT Techniques

Citations (3)

Read on this site (1)

Articles from other publishers (2)

Reprints and Corporate Permissions

Academic Permissions

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date