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Dr Rahul Nijhawan
Dr Rahul Nijhawan
Assistant Professor, Department of Computer Science and Engineering, Thapar University
Verified email at thapar.edu - Homepage
Title
Cited by
Cited by
Year
Pneumonia detection using CNN based feature extraction
D Varshni, K Thakral, L Agarwal, R Nijhawan, A Mittal
2019 IEEE international conference on electrical, computer and communication …, 2019
4832019
An integrated deep learning framework approach for nail disease identification
R Nijhawan, R Verma, S Bhushan, R Dua, A Mittal
2017 13th International Conference on Signal-Image Technology & Internet …, 2017
722017
& Abdelhamid, AA (2023). A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson’s Disease Using Complex and Large Vocal Features
R Nijhawan, M Kumar, S Arya, N Mendirtta, S Kumar, SK Towfek
Biomimetics 8 (4), 351, 0
68
Classification of lesions in retinal fundus images for diabetic retinopathy using transfer learning
S Gupta, A Panwar, S Goel, A Mittal, R Nijhawan, AK Singh
2019 international conference on information technology (ICIT), 342-347, 2019
642019
A hybrid of deep learning and hand-crafted features based approach for snow cover mapping
R Nijhawan, J Das, B Raman
International journal of remote sensing 40 (2), 759-773, 2019
622019
A deep learning hybrid CNN framework approach for vegetation cover mapping using deep features
R Nijhawan, H Sharma, H Sahni, A Batra
2017 13th international conference on signal-image technology & internet …, 2017
572017
A hybrid CNN+ random forest approach to delineate debris covered glaciers using deep features
R Nijhawan, J Das, R Balasubramanian
Journal of the Indian Society of Remote Sensing 46, 981-989, 2018
492018
A futuristic deep learning framework approach for land use-land cover classification using remote sensing imagery
R Nijhawan, D Joshi, N Narang, A Mittal, A Mittal
Advanced Computing and Communication Technologies: Proceedings of the 11th …, 2019
432019
A deep learning approach to detect lumpy skin disease in cows
G Rai, Naveen, A Hussain, A Kumar, A Ansari, N Khanduja
Computer Networks, Big Data and IoT: Proceedings of ICCBI 2020, 369-377, 2021
362021
A hybrid deep learning approach for automatic fish classification
HS Chhabra, AK Srivastava, R Nijhawan
Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 427-436, 2020
362020
Land cover classification using super-vised and unsupervised learning techniques
R Nijhawan, I Srivastava, P Shukla
2017 international conference on computational intelligence in data science …, 2017
322017
Detecting pneumonia using vision transformer and comparing with other techniques
K Tyagi, G Pathak, R Nijhawan, A Mittal
2021 5th international conference on electronics, communication and …, 2021
272021
A novel artificial-intelligence-based approach for classification of Parkinson’s disease using complex and large vocal features
R Nijhawan, M Kumar, S Arya, N Mendirtta, S Kumar, SK Towfek, ...
Biomimetics 8 (4), 351, 2023
262023
A comparison of classification techniques for glacier change detection using multispectral images
R Nijhawan, P Garg, P Thakur
Perspectives in Science 8, 377-380, 2016
252016
A novel deep learning framework approach for natural calamities detection
R Nijhawan, M Rishi, A Tiwari, R Dua
Information and Communication Technology for Competitive Strategies …, 2019
242019
A Deep Learning based CNN framework approach for Plankton Classification
SS Rawat, A Bisht, R Nijhawan
2019 Fifth international conference on image information processing (ICIIP …, 2019
232019
Meta-classifier approach with ANN, SVM, rotation forest, and random forest for snow cover mapping
R Nijhawan, B Raman, J Das
Proceedings of 2nd International Conference on Computer Vision & Image …, 2018
222018
Gun identification from gunshot audios for secure public places using transformer learning
R Nijhawan, SA Ansari, S Kumar, F Alassery, SM El-Kenawy
Scientific reports 12 (1), 13300, 2022
202022
A deep learning approach for classification of onychomycosis nail disease
Aishwarya, A Goel, R Nijhawan
Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 1112-1118, 2020
192020
Classification and detection of acne on the skin using deep learning algorithms
N Pancholi, S Goel, R Nijhawan, S Gupta
2021 19th OITS International Conference on Information Technology (OCIT …, 2021
182021
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