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Atul Bansal
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2020 – today
- 2024
- [j15]Paresh Chandra Sau, Manish Gupta, Atul Bansal:
Optimized ResUNet++-Enabled Blood Vessel Segmentation for Retinal Fundus Image Based on Hybrid Meta-Heuristic Improvement. Int. J. Image Graph. 24(3): 2450033:1-2450033:42 (2024) - [c7]Mohamed Ibrahim Ahmed
, Atul Bansal
Towards Ubiquitous IoT through Long Range Wireless Energy Harvesting. MobiHoc 2024: 21-30 - 2023
- [j14]Tripti Choudhary, Vishal Goyal, Atul Bansal:
WTASR: Wavelet Transformer for Automatic Speech Recognition of Indian Languages. Big Data Min. Anal. 6(1): 85-91 (2023) - [j13]Anuja Bhargava
Machine learning & computer vision-based optimum black tea fermentation detection. Multim. Tools Appl. 82(28): 43335-43347 (2023) - [c6]Mohamed Ibrahim Ahmed
Battery-free Wideband Spectrum Mapping using Commodity RFID Tags. MobiCom 2023: 9:1-9:16 - 2022
- [j12]Diwakar Agarwal
Fingerprint liveness detection through fusion of pores perspiration and texture features. J. King Saud Univ. Comput. Inf. Sci. 34(7): 4089-4098 (2022) - [j11]Anuja Bhargava
Machine learning-based automatic detection of novel coronavirus (COVID-19) disease. Multim. Tools Appl. 81(10): 13731-13750 (2022) - [j10]Paresh Chandra Sau, Atul Bansal:
A novel diabetic retinopathy grading using modified deep neural network with segmentation of blood vessels and retinal abnormalities. Multim. Tools Appl. 81(27): 39605-39633 (2022) - [j9]Diwakar Agarwal
An alignment-free non-invertible transformation-based method for generating the cancellable fingerprint template. Pattern Anal. Appl. 25(4): 837-852 (2022) - [j8]Pattima Bachan
Buffer-aided cooperative NOMA with partial relay selection. Telecommun. Syst. 80(1): 45-57 (2022) - [c5]Swarupa Pelleti
Management Information System based on Artificial Intelligence Technology. IC3I 2022: 2007-2012 - [c4]Rathnakar Gatla, Atul Bansal, Saket Narendra Bansod, Iskandar Muda, Harish Chowdhary
Artificial Intelligence Based E-Commerce Information Management Model. IC3I 2022: 2013-2018 - 2021
- [j7]Anuja Bhargava
Fruits and vegetables quality evaluation using computer vision: A review. J. King Saud Univ. Comput. Inf. Sci. 33(3): 243-257 (2021) - [j6]Pallavi Srivastava
A comprehensive review on soil classification using deep learning and computer vision techniques. Multim. Tools Appl. 80(10): 14887-14914 (2021) - [j5]Anuja Bhargava
Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review. Multim. Tools Appl. 80(13): 19931-19946 (2021) - [j4]Diwakar Agarwal
A utility of pores as level 3 features in latent fingerprint identification. Multim. Tools Appl. 80(15): 23605-23624 (2021) - [c3]Atul Bansal
OwLL: Accurate LoRa Localization using the TV Whitespaces. IPSN 2021: 148-162 - 2020
- [j3]Diwakar Agarwal
Fingerprint pores extraction by using automatic scale selection. Int. J. Biom. 12(3): 317-336 (2020) - [j2]Anuja Bhargava
Quality evaluation of Mono & bi-Colored Apples with computer vision and multispectral imaging. Multim. Tools Appl. 79(11-12): 7857-7874 (2020) - [j1]Anuja Bhargava
Machine learning based quality evaluation of mono-colored apples. Multim. Tools Appl. 79(31-32): 22989-23006 (2020) - [c2]Atul Bansal
Does ambient RF energy suffice to power battery-free IoT? MobiSys 2020: 470-471
2000 – 2009
- 2007
- [c1]Atul Bansal
Simulation of Image Enhancement Techniques Using Matlab. Asia International Conference on Modelling and Simulation 2007: 296-301
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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