A Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities-Reference-Cited by-同舟云学术

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A Deep Learning-Based Efficient Firearms Monitoring Technique for Building Secure Smart Cities

Published:2023 Issue: Volume:11 Page:37515-37524
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chatterjee Rajdeep¹^ORCID,Chatterjee Ankita²^ORCID,Pradhan Manas Ranjan³,Acharya Biswaranjan⁴^ORCID,Choudhury Tanupriya⁵^ORCID

Affiliation:

1. School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be University), Bhubaneswar, Odisha, India

2. Amygdala AI, Khorda, Odisha, India

3. School of Computing, Skyline University College, Sharjah, United Arab Emirates

4. Department of Computer Engineering-Artificial Intelligence and Big Data Analytics, Marwadi University, Rajkot, Gujarat, India

5. Informatics Cluster, School of Computer Sciences, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10099460.pdf?arnumber=10099460

Reference43 articles.

1. Learning With Average Precision: Training Image Retrieval With a Listwise Loss

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advanced CCTV Surveillance Anomaly Detection, Alert Generation and Crowd Management using Deep Learning Algorithm;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. Smart Cities for Whom? Exploring the Role of Gunshot Detection Systems in Marginalized Communities;IFIP Advances in Information and Communication Technology;2024

3. Design of a high-density bio-inspired feature analysis deep learning model for sub-classification of natural & synthetic imagery;Multimedia Tools and Applications;2023-08-05

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