Machine Learning-Based Smart Surveillance and Intrusion Detection System for National Geographic Borders-Reference-Cited by-同舟云学术

Machine Learning-Based Smart Surveillance and Intrusion Detection System for National Geographic Borders

Published:2021-12-17 Issue: Volume: Page:165-176
ISSN:1876-1100
Container-title:Artificial Intelligence and Technologies
language:
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Author:

Sharma Mrinal,Kumar C. R. S.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6448-9_19

Reference21 articles.

1. Forty Seventh report, Standing committee of Defence (2018–2019), Ministry of Defence

2. Problem definition statement-39 (2020) Compendium of problem definition statements, Ministry of Defence

3. Sommer L, Schumann A, Muller T, Schuchert T, Beyerer J (2017) Flying object detection for automatic UAV recognition. IEEE AVSS 2017. Lecce, Italy

4. Object Detection (2019) Learn computer vision using OpenCV: with deep learning CNNs and RNNs

5. Greeshma KV, Viji Gripsy J (2020) Image classification using HOG and LBP feature descriptors with SVM and CNN. Int J Eng Res Technol (IJERT). NSDARM-2020 conference proceedings

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