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An Adaptive Deep Learning Model to Forecast Crimes

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Proceedings of Integrated Intelligence Enable Networks and Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Assessing crime is an important process as crime is on the rise these days. Assessing cybercrime can be a daunting task. It can be challenging to collect existing data and work on new techniques. In cybercrime, direct real-time assessment is obligatory. However, it is difficult to pinpoint when the subsequent offense happens. Information on past offense is limited that where and when it happened. The proposal aptly refers to the recent crime statistics in this work. The datasets contain representing spatial and temporary residual networks to analyze copy crime for hours. In terms of accuracy, comparisons with these experiments and several existing estimation methods show fewer performances than the proposed adaptive deep learning-based crime prediction (ADLCP) model. Finally, to solve shortcomings in existing models for expansion in the actual prediction of crimes, the proposal introduces a novel strategy.

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Author information

Authors and Affiliations

  1. Department of CSE, Vignan’s Institute of Management and Technology for Women, Hyderabad, India

    C. Srinivasa Kumar & S. Ranga Swamy

  2. C.S.E Department, Vasavi College of Engineering, Hyderabad, India

    I. Navakanth

  3. Sri Vasavi Institute of Engineering and Technology, Pedana, India

    J. V. N. Raju

Authors
  1. C. Srinivasa Kumar
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  2. S. Ranga Swamy
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  3. I. Navakanth
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  4. J. V. N. Raju
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Corresponding author

Correspondence to C. Srinivasa Kumar .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Govind Ballabh Pant Institute of Engineering & Technology, Pauri Garhwal, Uttarakhand, India

    Krishan Kant Singh Mer

  2. Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India

    Vijay Bhaskar Semwal

  3. Department of Electronics and Communication, Institute of Technology Gopeshwar, Gopeshwar, India

    Vishwanath Bijalwan

  4. Universidad Internacional de La Rioja, Logroño, Spain

    Rubén González Crespo

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Kumar, C.S., Swamy, S.R., Navakanth, I., Raju, J.V.N. (2021). An Adaptive Deep Learning Model to Forecast Crimes. In: Singh Mer, K.K., Semwal, V.B., Bijalwan, V., Crespo, R.G. (eds) Proceedings of Integrated Intelligence Enable Networks and Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6307-6_47

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