Research
Patents
- Tiwari, Naveen Kumar, “SMART BOOK FOR TRACKING STUDENTS’ LEARNING PROGRESS,”
Indian Patent, No. 551268- Tiwari, Naveen Kumar, “An evolutionary neuro-fuzzy system using evolutionary fuzzy clustering and syndicated neural networks,”
German Patent, No. DE202022104771U1
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Pandey, Ashutosh, Vivek Srivastava, Shashank Yadav, Naveen Tiwari, B. D. K. Patro, and Abhishek Bajpai. “Handwritten Signature Detection and Verification Using CNN.” In International Conference on Trends in Computational and Cognitive Engineering, pp. 381-388. Singapore: Springer Nature Singapore, 2023. doi: https://doi.org/10.1007/978-981-97-1923-5_29
Bajpai, Abhishek, Harshvardhan Rai, and Naveen Tiwari. “An efficient cnn-based method for classification of red meat based on its freshness.” In International Conference on Machine Learning, IoT and Big Data, pp. 393-405. Singapore: Springer Nature Singapore, 2023. doi: https://doi.org/10.1007/978-981-99-3932-9_34
Yadav, Sanjeev, Rupesh Kumar, Naveen Tiwari, and Abhishek Bajpai. “An Effective Approach to Detect and Prevent Collaborative Grayhole Attack by Malicious Node in MANET.” In International Conference on Intelligent Systems Design and Applications, pp. 318-335. Springer, Cham, ISBN 978-3-030-49342-4, (2019). doi: https://doi.org/10.1007/978-3-030-49342-4_31
Mishra Pranchal, Ayush Tripathi, Abhishek Bajpai, and Naveen Tiwari. “Hybrid Approach for Trajectory Identification of Mobile Node via Lagrange Interpolation and Kalman Filtering Framework .” In International Conference on Intelligent Systems Design and Applications, pp. 530-539. Springer, Cham, ISBN 978-3-030-49342-4, (2019). doi: https://doi.org/10.1007/978-3-030-49342-4_51
Monika Mehra, Sudarshan Maurya, Naveen Kumar Tiwari, “Network Load balancing in Software Defined Network: A Survey.” International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 2, 2019. url: https://www.ripublication.com/ijaerspl2019/ijaerv14n2spl_44.pdf
National Conference
Ankur Tripathi, Naveen Kumar Tiwari, Ankita Srivastava, Shikhar Pandey, Job Scheduling for HPC-Cluster Using DynPP Scheduler (Dynamic Priority Policy), National Conference on Development of Reliable Information Systems, Techniques and Related Issues (DRISTI), Page-56, ISBN-9789381583272, (2012 )
| Sr.No | Name of Faculty | Titel of Research Paper / Conference Proceedings/Book Chapter | Classification Research Paper OR Conference Proceeding/OR Book Chapter) | Academic Year | Indexing SCOPUS/ WoS/UGC Care | Volume Issue and Page No (If received) | DOI If (available) | In Case of Book Chapter (ISSN/ISBN.No. |
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. B.D.K Patro | Progress in Automated Cancer Detection with Recursive Neural Networks | Conference | 2024 | Scopus | 863-868 | 10.1109/IC3SE62002.2 024.10593330 | - |
| 2 | Dr. B.D.K Patro | An Improved Analysis of Weed Prediction in Precision Agriculture using Deep Learning | Conference | 2024 | Scopus | 936-941 | 10.1109/IC3SE62002.2 024.10593570 | - |
| 3 | Dr. B.D.K Patro | Multi-label Classification of Retinal Diseases using Hybrid Vision Transformer | Conference | 2024 | Scopus | 1.5 | 10.1109/ICCCNT61001 .2024.10725227 | - |
| 4 | Dr. B.D.K Patro | Detection of objects in satellite and aerial imagery using channel and spatially attentive YOLO- CSL for surveillance | Journal | 2024 | Elsevier | Vol 147 Pages 105070 | https://doi.org/10.1016/ j.imavis.2024.105070 | - |
| 5 | Dr. B.D.K Patro | Mental Health Detection Based On Hybrid Ensemble Stacking Technique | Conference | 2024 | Scopus | Pages 246-251 | 10.1109/IC2SDT62152. 2024.10696237 | - |
| 6 | Dr. B.D.K Patro | Brain Tumor Segmentation Using UNet with VGG19 | Conference | 2024 | Scopus | 1.6 | 10.1109/ICEECT61758 .2024.10738961 | - |
| 7 | Dr. B.D.K Patro | Enhanced Fetal Ultrasound Image Segmentation using Spatial Attention Mechanisms with UNet: SAUnet | Conference | 2024 | Scopus | 1.6 | 10.1109/CVMI61877.2 024.10781544 | - |
| 8 | Dr. B.D.K Patro | RMOWOA: a revamped multi-objective Whale optimization algorithm for maximizing the lifetime of a network in Wireless Sensor Networks | Journal | 2024 | Springer US | Vol 52 Issue5 Pages 325- 366 | https://doi.org/10.1007/ s10766-024-00775-y | - |
| 9 | Dr. B.D.K Patro | Improved early detection accuracy for breast cancer using a deep learning framework in medical imaging | Journal | 2025 | SCIE (Elsevier) | Vol 187 Pages 109751 | 10.1016/j.compbiomed. 2025.109751 | - |
| 10 | Dr. Vivek Srivastava | Integrating Pretrained CNN and SVM for Improved Lung Cancer Classification | Conference | 2024 | Scopus | 922-927 | 06-04-24 | - |
| 11 | Dr. Vivek Srivastava | Comparative analysis of potato leaf disease classification using cnn and resnet50 | Conference | 2024 | Scopus | 87-91 | 10-07-24 | - |
| 12 | Dr. Vivek Srivastava | Enhanced Potato Leaf Disease Detection through Multi-Modal Fusion of Graph Neural Networks and ResNet18 | Conference | 2024 | Scopus | 1498-1504 | 22-12-24 | - |
| 13 | Dr. Abhishek Bajpei | Energy-Efficient Routing Optimization for Underwater Internet of Things using Hybrid Q- Learning and Predictive Learning Approach | Journal | 2024 | Scopus | Issu 235 page 45-55 | 01-01-24 | - |
| 14 | Dr. Abhishek Bajpei | Driver's Seat Belt Detection Using CNN-SVM: A Hybrid Approach | Conference | 2024 | Scopus | 898-904 | 06-04-24 | - |
| 15 | Dr. Abhishek Bajpei | Pneumonia Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional Neural Networks | Conference | 2024 | Scopus | 1.6 | 21-06-24 | - |
| 16 | Dr. Abhishek Bajpei | Enhanced potato leaf disease detection via modified swin transformer architecture | Conference | 2024 | Scopus | 1.7 | 24-06-24 | - |
| 17 | Dr. Abhishek Bajpei | Comparative analysis of potato leaf disease classification using cnn and resnet50 | Conference | 2024 | Scopus | 87-91 | 10-07-24 | - |
| 18 | Dr. Abhishek Bajpei | Enhanced potato leaf disease detection via modified swin transformer architecture | Conference | 2024 | Scopus | 01.7 | 24-06-24 | - |
| 19 | Dr. Abhishek Bajpei | A deep learning framework for hourly bitcoin price prediction using bi-LSTM and sentiment analysis of Twitter data | Journal | 2024 | Scopus | Vol,5 Issue 6 Page 767 | 08-08-24 | - |
| 20 | Dr. Abhishek Bajpei | Efficient Forwarding Rule Management in Software Defined Network via Subnet-Based Pattern Matching | Journal | 2024 | Scopus | Vol,5 Issue 6 Page 796 | 14-08-24 | - |
| 21 | Dr. Abhishek Bajpei | A Neural Network Approach to Enhance Data Quality and Network Lifetime in IoT-based Smart Agriculture | Conference | 2024 | Scopus | 106-111 | 26-08-24 | - |
| 22 | Dr. Abhishek Bajpei | An efficient approach for potato leaf disease classification using cascaded cnn-transformers | Conference | 2024 | Scopus | 01.6 | 29-08-24 | - |
| 23 | Dr. Abhishek Bajpei | Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning | Journal | 2024 | Scopus | Vol,7 Issue 3 Page 189-196 | 01-09-24 | - |
| 24 | Dr. Abhishek Bajpei | A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent | Journal | 2024 | Scopus | Vol 119 Page109604 | 01-11-24 | - |
| 25 | Dr. Abhishek Bajpei | Enhanced Potato Leaf Disease Detection through Multi-Modal Fusion of Graph Neural Networks and ResNet18 | Conference | 2024 | Scopus | 1498-1504 | 22-12-24 | - |
| 26 | Dr. Abhishek Bajpei | Integrating Attention Mechanisms and Squeeze-and-Excitation Blocks for Accurate Potato Leaf Disease Detection | Journal | 2025 | SCIE | 1.21 | 27-01-25 | - |
| 27 | Shashank Yadav | Integrating Pretrained CNN and SVM for Improved Lung Cancer Classification | Conference | 2024 | Scopus | 922-927 | 06-04-24 | - |
| 28 | Shashank Yadav | Brain Tumor Diagnosis Using Hybrid Pre-trained CNN-SVM | Conference | 2024 | Scopus | 868-873 | 06-04-24 | - |
| 29 | Shashank Yadav | Pneumonia Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional Neural Networks | Conference | 2024 | Scopus | 1.6 | 21-06-24 | - |
| 30 | Shashank Yadav | An efficient approach for potato leaf disease classification using cascaded cnn-transformers | Conference | 2024 | SCIE | 1.6 | 29-08-24 | - |
| 31 | Shashank Yadav | CONF-RCNN: a conformer and faster region-based convolutional neural network model for multi- label classification of tomato leaves disease in real field environment | Journal | 2025 | Scopus | Vol,132 Issue 2Page 61 | 2025/4 | - |
| 32 | Naveen Tiwari | Energy-Efficient Routing Optimization for Underwater Internet of Things using Hybrid Q- Learning and Predictive Learning Approach | Journal | 2024 | Scopus | Vol,235Page 45-55 | 01-01-24 | - |
| 33 | Naveen Tiwari | Brain Tumor Diagnosis Using Hybrid Pre-trained CNN-SVM | Conference | 2024 | Scopus | 868-873 | 06-04-24 | - |
| 34 | Naveen Tiwari | Integrating Pretrained CNN and SVM for Improved Lung Cancer Classification | Conference | 2024 | Scopus | 922-927 | 06-04-24 | - |
| 35 | Naveen Tiwari | Driver's Seat Belt Detection Using CNN-SVM: A Hybrid Approach | Conference | 2024 | Scopus | 898-904 | 06-04-24 | - |
| 36 | Naveen Tiwari | Pneumonia Detection in Chest X-Ray Images Using Efficient and Lightweight Convolutional Neural Networks | Conference | 2024 | Scopus | 1.6 | 21-06-24 | - |
| 37 | Naveen Tiwari | Enhanced potato leaf disease detection via modified swin transformer architecture | Conference | 2024 | Scopus | 1.7 | 24-06-24 | - |
| 38 | Naveen Tiwari | A deep learning framework for hourly bitcoin price prediction using bi-LSTM and sentiment analysis of Twitter data | Journal | 2024 | Scopus | Vol, 5 Issue 6 Page 767 | 08-08-24 | - |
| 39 | Naveen Tiwari | Enhancing underwater object detection: Leveraging YOLOv8m for improved subaquatic monitoring | Journal | 2024 | Scopus | Vol,5 Issue 6Page 1997 | 14-08-24 | - |
| 40 | Naveen Tiwari | Efficient Forwarding Rule Management in Software Defined Network via Subnet-Based Pattern Matching | Journal | 2024 | Scopus | Vol,5 Issue 6Page 796 | 14-08-24 | - |
| 41 | Naveen Tiwari | A Neural Network Approach to Enhance Data Quality and Network Lifetime in IoT-based Smart Agriculture | Conference | 2024 | Scopus | 106-111 | 26-08-24 | - |
| 42 | Naveen Tiwari | An efficient approach for potato leaf disease classification using cascaded cnn-transformers | Conference | 2024 | Scopus | 1.6 | 29-08-24 | - |
| 43 | Naveen Tiwari | A novel methodology for anomaly detection in smart home networks via Fractional Stochastic Gradient Descent | Journal | 2024 | SCIE | Vol, 119 Page 109604 | 01-11-24 | - |
| 44 | Naveen Tiwari | EffSVMNet: An efficient hybrid neural network for improved skin disease classification | Journal | 2024 | Scopus | Vol, 10 Page 100520 | 01-12-24 | - |