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Teena Sharma, Ph.D.
Title
Cited by
Cited by
Year
Fuzzy based Pooling in Convolutional Neural Network for Image Classification
T Sharma, V Singh, S Sudhakaran, NK Verma
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
312019
Object identification for inventory management using convolutional neural network
NK Verma, T Sharma, SD Rajurkar, A Salour
2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6, 2016
312016
Supervised approach for object identification using speeded up robust features
P Agrawal, T Sharma, NK Verma
International Journal of Advanced Intelligence Paradigms 15 (2), 165-182, 2020
232020
Estimating depth and global atmospheric light for image dehazing using type-2 fuzzy approach
T Sharma, NK Verma
IEEE Transactions on Emerging Topics in Computational Intelligence 6 (1), 93-102, 2020
212020
Image Dehazing for Object Recognition using Faster RCNN
BT Nalla, T Sharma, NK Verma, SR Sahoo
2018 International Joint Conference on Neural Networks (IJCNN), 01-07, 2018
172018
Adaptive interval Type-2 fuzzy filter: an AI agent for handling uncertainties to preserve image naturalness
T Sharma, NK Verma
IEEE Transactions on Artificial Intelligence 2 (1), 83-92, 2021
122021
CSIDNet: Compact single image dehazing network for outdoor scene enhancement
T Sharma, I Agrawal, NK Verma
Multimedia Tools and Applications 79 (41), 30769-30784, 2020
112020
Real-time monitoring of machines using open platform communication
NK Verma, T Sharma, S Maurya, DJ Singh, A Salour
2017 IEEE International Conference on Prognostics and Health Management …, 2017
112017
Vision based object counting using speeded up robust features for inventory control
NK Verma, T Sharma, RK Sevakula, A Salour
2016 International Conference on Computational Science and Computational …, 2016
112016
DCNet: Dark Channel Network for single-image dehazing
A Bhola, T Sharma, NK Verma
Machine Vision and Applications 32 (3), 62, 2021
92021
BIDEAL: a toolbox for bicluster analysis—generation, visualization and validation
NK Verma, T Sharma, S Dixit, P Agrawal, S Sengupta, V Singh
SN Computer Science 2, 1-15, 2021
92021
Detection of dust deposition using convolutional neural network for heritage images
T Sharma, P Agrawal, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
82019
Object Counting using KAZE Features Under Different Lighting Conditions for Inventory Management
T Sharma, A Jain, NK Verma, S Vasikarla
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2019
62019
Vision based counting of texture-less objects using shape and color features
NK Verma, T Sharma, SD Rajurkar, R Ranjan, A Salour
2016 11th International Conference on Industrial and Information Systems …, 2016
62016
Mixed fuzzy pooling in convolutional neural networks for image classification
T Sharma, NK Verma, S Masood
Multimedia Tools and Applications 82 (6), 8405-8421, 2023
52023
Addressing the challenge of biomedical data inequality: An artificial intelligence perspective
Y Gao, T Sharma, Y Cui
Annual review of biomedical data science 6, 153-171, 2023
42023
A Review on Image Dehazing Algorithms for Vision based Applications in Outdoor Environment
T Sharma, T Shah, NK Verma, S Vasikarla
2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-13, 2020
42020
Detection and Removal of Salt and Pepper Noise by Gaussian Membership Function and Guided Filter
A Kumar, T Sharma, NK Verma, P Sircar, S Vasikarla
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9, 2019
42019
Multi-faced object recognition in an image for inventory counting
T Sharma, SD Rajurkar, N Molangur, NK Verma, A Salour
Computational Intelligence: Theories, Applications and Future Directions …, 2019
42019
An efficient algorithm for image haze removal in outdoor environment
H Dua, T Sharma, P Agrawal, NK Verma
Computational Intelligence: Theories, Applications and Future Directions …, 2019
32019
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Articles 1–20