HDLCP: Experimental Analysis and Development of Hybrid Deep Learning Methodology for Crime Scenario Assesment and Prediction-Reference-Cited by-同舟云学术

HDLCP: Experimental Analysis and Development of Hybrid Deep Learning Methodology for Crime Scenario Assesment and Prediction

Published:2024-03-01 Issue: Volume: Page:1-6
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Container-title:2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
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Author:

Tamilselvi M¹,Ravi C.N.²,Jayasudha S.³,Shahad P⁴,Karthikeyan S.⁵,Pandi V.Samuthira⁶

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. CMR Engineering College,Department of Computer Science and Engineering,Medchal, Hyderabad,India

3. Prince Shri Venkateshwara, Padmavathy Engineering College,Department of Science and Humanities,Chennai,Tamil Nadu,India

4. Madanapalle Institute of Technology & Science,Department of CSE (Artificial Intelligence),Madanapalle,Andhrapradesh,India

5. KSR College of Engineering,Department of ECE,Tiruchengode,Tamil Nadu,India

6. Centre for Advanced Wireless Integrated Technology, Chennai Institute of Technology,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10530616/10530657/10530836.pdf?arnumber=10530836

Reference15 articles.

1. A study on predicting crime rates through machine learning and data mining using text;Saeed,2023

2. Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention

3. An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images

4. Machine learning in crime prediction

5. Predicting the Spread of Vessels in Initial Stage Cervical Cancer through Radiomics Strategy Based on Deep Learning Approach

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