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Dr. N.Naveen

Assistant Professor
EB-108, New Building,
School of Computer and Information Sciences
University of Hyderabad
Gachibowli, Hyderabad, India-500046


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Recent Publications

Pixel Value Prediction Task

Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network.

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Pixel Value Predictor Using LSTM Network

In Proceedings of the International Conference on Multi-disciplinary Trends in Artificial Intelligence

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Bankruptcy Prediction Using Memetic Algorithm

This paper proposes a new memetic algorithm using Cuckoo search algorithm and PSO algorithm.

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"Alan Turing once predicted that one day machines would be able to speak and understand language like humans. Today, with the advancement of technology, that day has arrived and machines can now speak."

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About Me

Check out my publications!

Teaching

Courses taught


Algorithms, Programming Methodology, Software Engineering, DBMS, Data Management, Programming Methedology Lab, IT Lab, DBMS Lab and Software Engineering Lab; Operaring Systems, Datawarehouse and Data Mining, Data Structures, C Programming.

  • Programmig Methodology
  • Programmig Methodology Lab

  • Machine Leanring
  • IT Lab

  • Programmig Methodology
  • Programmig Methodology Lab

  • IT Lab

  • Programming Methodology
  • Programming Methodology Lab
  • Software Engineering

  • Algorithms
  • IT Lab

  • Programmig Methodology
  • Programmig Methodology Lab

  • Algorithms
  • IT Lab

  • Programmig Methodology
  • Programmig Methodology Lab

  • Algorithms
  • IT Lab
  • Data Management

  • ...

  • DBMS
  • DBMS Lab
  • Data Management

  • Software Engineering

Research Publications

ORCID SCOPUS DBLP IEEE Google Scholar
  • Myakal, S., Pal, R., & Naveen, N. (2023). Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network. In Proceedings of the International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2023, pp. 543-553) https://doi.org/10.1007/978-3-031-36402-0_51 Print ISBN: 978-3-031-36401-3, Online ISBN: 978-3-031-36402-0.
  • Myakal, S., Pal, R., & Naveen, N. (2023). A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network. In Proceedings of the International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2023, pp. 324-335) https://doi.org/10.1007/978-3-031-36402-0_30 . Print ISBN: 978-3-031-36401-3, Online ISBN:978-3-031-36402-0.
  • Naveen, N., & Sookshma, M. (2020). Adaptive Feature Selection and Classification Using Optimization Technique. In S. Satapathy, V. Bhateja, B. Nguyen, N. Nguyen, & D. N. Le (Eds.), Frontiers in Intelligent Computing: Theory and Applications (pp. 146-155). Advances in Intelligent Systems and Computing, Vol. 1013. Singapore: Winterer. https://doi.org/10.1007/978-981-32-9186-7_17. Print ISBN: 978-981-32-9185-0, Online ISBN: 978-981-32-9186-7.
  • Naveen, N., & Rao, M. C. (2016). Bankruptcy Prediction Using Memetic Algorithm. In Proceedings of the International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2016) (pp. 153-161).
  • Ravi, V., Naveen, N., & Pandey, M. (2013). Hybrid classification and regression models via particle swarm optimization auto-associative neural network based nonlinear PCA. International Journal of Hybrid Intelligent Systems, 10(3), 137-149.
  • Naveen, N., Ravi, V., & Raghavendra Rao, C. (2012). Rule extraction from privacy preserving neural network: Application to banking. Advanced Materials Research, 403-408, 920–928.
  • Naveen, N., Ravi, V., & Raghavendra Rao, C., & Sarath, K. N. V. D. (2012). Rule Extraction Using Firefly Optimization: Application to Banking. In 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2012), 10-13 December 2012, Hong Kong. Retrieved from http://ieem2019.org/archive/IEEM%202012%20Program%20Book.pdf
  • Paramjeet, Ravi, V., Naveen, N., & Rao, C. R. (2012). Privacy preserving data mining using particle swarm optimization trained auto-associative neural network: an application to bankruptcy prediction in banks. International Journal of Data Mining, Modelling and Management, 4(1), 39-56.
  • Ravi, V., Naveen, N., & Das, M. (2012). Hybrid classifier based on particle swarm optimization trained auto-associative neural networks as non-linear principal component analyzer: Application to banking. In Proceedings of the 12th International Conference on Intelligent Systems Design and Applications (ISDA 2012) (pp. 77-82).
  • Naveen, N., Ravi, V., & Rao, C. R. (2012). Rule Extraction from DEWNN to Solve Classification and Regression Problems. In Proceedings of the 2012 3rd International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012) (pp. 206-214).
  • Ravi, V., Naveen, N., & Das, M. (2012). Particle Swarm Optimization Trained Auto Associative Neural Networks Used as Single Class Classifier. In Proceedings of the 2012 3rd International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012) (pp. 577-584).
  • Naveen, N., Ravi, V., & Rao, C. R. (2011). Forecasting Using Rules Extracted from Privacy Preservation Neural Network. In Proceedings of the 5th Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI 2011) (pp. 248-260).
  • Naveen, N., Ravi, V., Rao, C. R., & Chauhan, N. (2010). Differential evolution trained radial basis function network: application to bankruptcy prediction in banks. International Journal of Bio-Inspired Computation, 2(3/4), 222-232.
  • Naveen, N., Ravi, V., & Rao, C. R. (2010). Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards. In Proceedings of the 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2010) (pp. 80-89).
  • Naveen, N., Ravi, V., & Kumar, D. A. (2009). Application of fuzzyARTMAP for churn prediction in bank credit cards. International Journal of Information and Decision Sciences, 1(4), 428-444.
  • Naveen, N., Ravi, V., & Rao, C. R. (2009). Rule extraction from differential evolution trained radial basis function network using genetic algorithms. In Proceedings of the 5th International Conference on Automation Science and Engineering (CASE 2009) (pp. 152-157).

    • Project Students

    Name
    M Sabhapathy(2018-23/24) Co-Supervisor Dr. Rajarshi Pal(IDRBT)

    Name
    Vedant Acharya(22-23)
    Mahitha Kodali(22-23)
    Chinmayee Mohapatra(22-23)
    Astha(21-22)
    Thombare Sumit Samadhan(21-22)
    Shahgul(20-21)
    Cheekoti Navatha(20-21)
    Kuchana Sathwik(20-21)
    Amrit Majumder(19-20)
    K Ratna Deepti(19-20)
    Delton M Antony(19-20)
    Vazrala Anil(18-19)
    Neha Soni(18-19)
    Mandala Sookshma(17-18)

    Name
    Purna Chandra Mansingh(2022)
    Vaibhav Pandey(2022)
    Prakhar Prem Sinha(2022)
    Shantanu Khandelwal(2022)
    Jaswinder Singh(2018)
    Sarabjeet Singh(2018)

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    +91-040-2313 4124 / 4105(School's Office)
    naveencis(at)uohyd(dot)ac(dot)in