Peer Reviewed Journals [08]

S. N. Chaudhri and S. K. Roy, "A Discriminatory Groups-Based Supervised Band Selection Technique for Hyperspectral Image Classification," Remote Sensing Letters, 15(2), 111–120. https://doi.org/10.1080/2150704X.2024.2302939. [SCIE]-[Q2]

S. N. Chaudhri, "ASASA: Automatic Selection and Adaption in Sensor Array for Intelligent Artificial Olfaction Systems," in IEEE Sensors Letters, vol. 7, no. 9, pp. 1-4, Sept. 2023, Art no. 7004204, doi: 10.1109/LSENS.2023.3301831.[SCOPUS]-[Q2] 

Kanak Kumar, Shiv Nath Chaudhri, Navin Singh Rajput, Alexey V Shvetsov, Radhya Sahal, and Saeed Hamood Alsamhi, "An IoT-Enabled E-Nose for Remote Detection and Monitoring of Airborne Pollution Hazards Using LoRa Network Protocol," in MDPI Sensors, 2023, 23, 4885, doi: 10.3390/s23104885. [SCIE]-[Q1]

Sumit Srivastava, Shiv Nath Chaudhri, Navin Singh Rajput, and Ashutosh Mishra, "A Novel Data-Driven Technique to Produce Multi-Sensor Virtual Responses for Gas Sensor Array-Based Electronic Noses," in Journal of Electrical Engineering, 2023, 74, 2, 102-108, 10.2478/jee-2023-0013. [SCIE]-[Q3]

Sumit Srivastava, Shiv Nath Chaudhri, Navin Singh Rajput, Saeed Hamood Alsamhi, and Alexey V Shvetsov, "Spatial Upscaling-Based Algorithm for Detection and Estimation of Hazardous Gases," in IEEE Access, vol. 11, pp. 17731-17738, 2023, doi: 10.1109/ACCESS.2023.3245041. [SCIE]-[Q1]

Shiv Nath Chaudhri, Navin Singh Rajput, Saeed Hamood Alsamhi, Alexey V. Shvetsov, and Faris A. Almalki, "Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm," in MDPI Sensors, 2022, 22, 3039, doi: 10.3390/s22083039. [SCIE]-[Q1]

Shiv Nath Chaudhri, Navin Singh Rajput, and Ashutosh Mishra, "A Novel Principal Component-Based Virtual Sensor Approach for Efficient Classification of Gases/Odors," in Journal of Electrical Engineering, 2022, 73, 2, 108-115, doi: 10.2478/jee-2022-0014. [SCIE]-[Q3]

Shiv Nath Chaudhri and Navin Singh Rajput, "Multidimensional Multiconvolution-Based Feature Extraction Approach for Drift Tolerant Robust Classifier for Gases/Odors," in IEEE Sensors Letters, vol. 6, no. 4, pp. 1-4, April 2022, Art no. 7001004, doi: 10.1109/LSENS.2022.3153832. [SCOPUS]-[Q2] 

International Conferences [10]

D. Kumar, M. Kumar, S. N. Chaudhri, P. Kumar and D. Dash, "Enhancing Security with Microwave and LiDAR Sensor Integration," 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC), Bhubaneswar, India, 2024, pp. 130-135, doi: 10.1109/ESIC60604.2024.10481598. [SCOPUS]

Dharmendra Kumar, Shiv Nath Chaudhri, and Navin Singh Rajput "Air Quality Prediction and Monitoring Using Machine Learning-Based Forecasting Approach," 2023 International Conference on IoT, Communication and Automation Technology (ICICAT), Gorakhpur, India, 2023, pp. 1-6, doi: 10.1109/ICICAT57735.2023.10263594. [SCOPUS]

Dharmendra Kumar, Shiv Nath Chaudhri, and Navin Singh Rajput "A Machine Learning-Based Disinfectant Type, Concentration, and Usage Monitoring System for Real-World Scenarios," 2023 International Conference on IoT, Communication and Automation Technology (ICICAT), Gorakhpur, India, 2023, pp. 1-6, doi: 10.1109/ICICAT57735.2023.10263659. [SCOPUS]

S. N. Chaudhri, A. Mishra, N. S. Rajput, Y. Mallikarjuna Rao, and M. V. Subramanyam "Synergetic Effect of Complementary Nature of Hyperspectral and LiDAR Data for High-Performance LULC Classification," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-6, doi: 10.1109/CONIT59222.2023.10205896. [SCOPUS]

S. N. Chaudhri, Y. M. Rao, N. S. Rajput, and M. V. Subramanyam "Vision Transformer Based LULC Classification Using Remotely Sensed Hyperspectral Image," In 2nd International Conference on Advances in Signal Processing and Communication Engineering (ICASPACE-2023), Hyderabad, India, 2023, Vol. 1157, pp. 127-136, doi: 10.1007/978-981-97-0562-7_9. [SCOPUS]

S. N. Chaudhri, and N. S. Rajput, "Mirror Mosaicking: A Novel Approach to Achieve High-Performance Classification of Gases Leveraging Convolutional Neural Network," In Proceedings of the 10th International Conference on Sensor Networks - Volume 1: SENSORNETS, 2021, Online, pp. 86-91, doi: 10.5220/0010251500860091. [SCOPUS]-[WoS]

S. N. Chaudhri, N. S. Rajput, K. P. Singh, and D. Singh, "Mirror Mosaicking Based Reduced Complexity Approach for the Classification of Hyperspectral Images," IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, Online, pp. 3657-3660, doi: 10.1109/IGARSS47720.2021.9554276. [SCOPUS]

S. N. Chaudhri, N. S. Rajput, and K. P. Singh, "The Novel Camouflaged False Color Composites for the Vegetation Verified by Novel Sample Level Mirror Mosaicking Based Convolutional Neural Network," IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2020, INDIA (Online), pp. 237-240, doi: 10.1109/InGARSS48198.2020.9358926. [SCOPUS] 

S. N. Chaudhri, N. S. Rajput, K. P. Singh, and D. Singh, "Different Modality Based Remote Sensing Data Fusion Approach for Efficient Classification of Agriculture and Urban Subclasses," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, JAPAN, pp. 5710-5713, doi: 10.1109/IGARSS.2019.8899201. [SCOPUS]

S. N. Chaudhri, N. S. Rajput, K. P. Singh, and D. Singh, "Maximum Membership Fraction Based Pure Pixel Assessment Approach for Hyperspectral Data Analysis Using Deep Learning," IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, JAPAN, pp. 5820-5823, doi: 10.1109/IGARSS.2019.8898389. [SCOPUS]