Research

Patents

  1. Tiwari, Naveen Kumar, “SMART BOOK FOR TRACKING STUDENTS’ LEARNING PROGRESS,”
    Indian Patent, No. 551268
    1. Tiwari, Naveen Kumar, “An evolutionary neuro-fuzzy system using evolutionary fuzzy clustering and syndicated neural networks,”

    German Patent, No. DE202022104771U1

    1. Tiwari, Naveen Kumar, “An effective method for detecting and preventing malicious node for collaborative grayhole threats in mobile ad-hoc networks,”

    South Africa Patent, No, ZA202,110,308 B

Journals

  1. Sharma, Yash, Naveen Kumar Tiwari, and Vipin Kumar Upaddhyay. “EffSVMNet: An efficient hybrid neural network for improved skin disease classification.” Smart Health34 (2024): 100520. doi: https://doi.org/10.1016/j.smhl.2024.100520
  2. Bajpai, Abhishek, Divyansh Chaurasia, and Naveen Tiwari. “A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent.” Computers and Electrical Engineering119 (2024): 109604. doi: https://doi.org/10.1016/j.compeleceng.2024.109604
  3. Tiwari, Naveen Kumar, Abhishek Bajpai, Sudarshan Maurya, and Divyansh Chaurasiya. “Efficient Forwarding Rule Management in Software Defined Network via Subnet-Based Pattern Matching.” SN Computer Science5, no. 6 (2024): 1-12. doi: https://doi.org/10.1007/s42979-024-03172-x
  4. Raj Patel, Jaya Chauhan, Naveen Kumar Tiwari, Vipin Upaddhyay, and Abhishek Bajpai. “A Deep Learning Framework for Hourly Bitcoin Price Prediction Using Bi-LSTM and Sentiment Analysis of Twitter Data.” SN Computer Science5, no. 6 (2024): 767. doi: https://doi.org/10.1007/s42979-024-03112-9
  5. Bajpai, Abhishek, Naveen Tiwari, Aditya Yadav, Divyansh Chaurasia, and Mohit Kumar. “Enhancing Underwater Object Detection: Leveraging YOLOv8m for Improved Subaquatic Monitoring.” SN Computer Science5, no. 6 (2024): 1-10. doi: https://doi.org/10.1007/s42979-024-03170-z
  6. Deeksha Gupta, Abhishek Bajpai, Naveen Kumar Tiwari, and Smriti Yadav. “Energy-Efficient Routing Optimization for Underwater Internet of Things using Hybrid Q-Learning and Predictive Learning Approach.” Procedia Computer Science235 (2024): 45-55. doi: https://doi.org/10.1016/j.procs.2024.04.005 
  7. Vipin Kumar Upaddhyay, Sanjay Kumar Soni, and Naveen Kumar Tiwari. “Reliability analysis of cascaded η−μ fading channels.” Transactions on Emerging Telecommunications Technologies33, no. 12 (2022): e4612. doi: https://doi.org/10.1002/ett.4612
  8. Rishabh Kashyap, Gaurish Joshi, Shashank Yadav, Mukul Saxena, and Naveen Kumar Tiwari. “A study on analytic resolvent semilinear integro-differential equations with control functions.” International Journal of Nonlinear Analysis and Applications13, no. 2 (2022): 1685-1692. doi: http://dx.doi.org/10.22075/ijnaa.2022.25726.3110
  9. Abhishek Bajpai, Shashank Yadav, Naveen Tiwari, Anita Yadav, and Mansi Chaurasia. “A novel power-efficient data aggregation scheme for cloud-based sensor networks.” International Journal of Mobile Computing and Multimedia Communications (IJMCMC)13, no. 1 (2022): 1-14. doi: https://doi.org/10.4018/IJMCMC.297964 

International Conference

  1. Bajpai, Abhishek, Shalinee Sahu, Naveen Tiwari, Vivek Srivastava, and Shashank Yadav. “An Efficient Approach for Potato Leaf Disease Classification Using Cascaded CNN-Transformers.” In 2024 IEEE 12th International Conference on Intelligent Systems (IS), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/IS61756.2024.10705224
  2. Bajpai, Abhishek, Shalinee Sahu, Naveen Tiwari, and Anita Yadav. “A Neural Network Approach to Enhance Data Quality and Network Lifetime in IoT-based Smart Agriculture.” In 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), pp. 106-111. IEEE, 2024. doi: https://doi.org/10.1109/IICAIET62352.2024.10730035
  3. Bajpai, Abhishek, Naveen Tiwari, Piyush Rajput, Shalinee Sahu, and Deepak Singh. “Enhanced Potato Leaf Disease Detection via Modified Swin Transformer Architecture.” In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2024. doi: https://doi.org/10.1109/ICCCNT61001.2024.10724512
  4. Gupta, Aditi, Prachi Mishra, Naveen Kumar Tiwari, Abhishek Bajpai, and Shashank Yadav. “Pneumonia Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional Neural Networks.” In 2024 IEEE Students Conference on Engineering and Systems (SCES), pp. 1-6. IEEE, 2024. doi: https://doi.org/10.1109/SCES61914.2024.10652501
  5. Singh, Lavdeep, Divyansh Chaurasia, Naveen Kumar Tiwari, Vipin Upaddhyay, and Abhishek Bajpai. “Driver’s Seat Belt Detection Using CNN-SVM: A Hybrid Approach.” In 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), pp. 898-904. IEEE, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10545852
  6. Tiwari, Naveen Kumar, Abhishek Bajpai, Vivek Srivastava, Shashank Yadav, and Neeraj Tiwari. “Integrating Pretrained CNN and SVM for Improved Lung Cancer Classification.” In 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), pp. 922-927. IEEE, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10546020
  7. Taneja, Pragati, Rohit Maurya, Naveen Kumar Tiwari, Divyansh Chaurasia, and Shashank Yadav. “Brain Tumor Diagnosis Using Hybrid Pre-trained CNN-SVM.” In 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), pp. 868-873. IEEE, 2024. doi:https://doi.org/10.1109/CSNT60213.2024.10546139
  8. Tiwari, Naveen Kumar, Anurag Kushwaha, Lokesh Kumar, and Abhishek Bajpai. “An ensemble heterogeneous hybrid model for fake news detection.” In 2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT), pp. 954-960. IEEE, 2023. doi:https://doi.org/10.1109/CSNT57126.2023.10134688
  9. Bajpai, Abhishek, Naveen Kumar Tiwari, Ashutosh Kumar Tripathi, Vibha Tripathi, and Devesh Katiyar. “Early leaf diseases prediction in paddy crop using deep learning model.” In 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 1-6. IEEE, 2023.doi: https://doi.org/10.1109/PCEMS58491.2023.10136038
  10. Sudarshan Maurya,Naveen Kumar Tiwari, SC Gupta, Layered Software Defined Networking, Optical and Wireless Technologies, Pages 351-362, Springer, Singapore, ISBN 978-981-10-7395-3, (2018)  doi: https://doi.org/10.1007/978-981-10-7395-3_40

Book Chapters

National Conference

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