Crime Type Prediction based on Various Occurrence using Parallel LSTM-Reference-Cited by-同舟云学术

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Crime Type Prediction based on Various Occurrence using Parallel LSTM

Published:2023-06-14 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)
language:
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Author:

Saradha M¹,Nithesh Priyan T²,Shreeram D U²,Viknesh S²

Affiliation:

1. Faculty of Computer Science and Engineering, K S Rangasamy College of Technology,Department of Computer Science and Engineering,Tiruchengode,India

2. Student of Computer Science and Engineering, K S Rangasamy College of Technology,Department of Computer Science and Engineering,Tiruchengode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169129/10169119/10169580.pdf?arnumber=10169580

Reference24 articles.

1. Personalized crime location prediction

2. Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction

3. An Experimental Study of Classification Algorithms for Crime Prediction

4. Feature selection generating directed rough-spanning tree for crime pattern analysis

5. An experimental evaluation of point-of-interest recommendation in location-based social networks

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