| A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays |
Applied Soft Computing |
125 |
- |
Elsevier |
https://doi.org/10.1016/j.asoc.2022.109109 |
| Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey |
IEEE Transactions on Emerging Topics in Computational Intelligence |
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1-21 |
IEEE |
https://doi.org/10.1109/TETCI.2022.3173443 |
| Thrombotic and Atherogenetic Predisposition in Polyglobulic Donors |
Biomedicines |
10 |
- |
MDPI |
https://doi.org/10.3390/biomedicines10040888 |
| Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression |
Computers in Biology and Medicine |
145 |
- |
Elsevier |
https://doi.org/10.1016/j.compbiomed.2022.105420 |
| Deep learning techniques for infrared image/video understanding |
Multimedia Tools and Applications |
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- |
Springer |
https://doi.org/10.1007/s11042-022-12787-2 |
| VGG-ICNN: A Lightweight CNN model for crop disease identification |
Multimedia Tools and Applications |
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1-24 |
Springer US |
https://doi.org/10.1007/s11042-022-13144-z |
| Real-time interception performance evaluation of certain proportional navigation based guidance laws in aerial ground engagement |
Intelligent Service Robotics |
15 |
95-114 |
Springer Berlin Heidelberg |
https://doi.org/10.1007/s11370-021-00404-4 |
| Max-min threshold-based cancelable biometric templates for low-end devices |
Journal of Electronic Imaging |
31 |
- |
SPIE |
https://doi.org/10.1117/1.JEI.31.3.033025 |
| 3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI |
Multimedia Tools and Applications |
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1-16 |
Springer US |
https://doi.org/10.1007/s11042-021-11871-3 |
| Challenges for ocular disease identification in the era of artificial intelligence |
Neural Computing and Applications |
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1-23 |
Springer London |
https://doi.org/10.1007/s00521-021-06770-5 |
| Artificial intelligence and deep learning for biomedical applications |
Multimedia Tools and Applications |
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- |
Springer |
https://doi.org/10.1007/s11042-022-12956-3 |
| A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose |
SN Computer Science |
3 |
1-8 |
Springer Nature Singapore |
https://doi.org/10.1007/s42979-022-01226-6 |
| Hybrid multiagent based adaptive genetic algorithm for limited view tomography using oppositional learning |
Biomedical Signal Processing and Control |
75 |
- |
Elsevier |
https://doi.org/10.1016/j.bspc.2022.103610 |
| Deep neural network for beam hardening artifacts removal in image reconstruction |
Applied Intelligence |
52 |
6037-6056 |
Springer US |
https://doi.org/10.1007/s10489-021-02604-y |
| Deep Learning Capabilities for the Categorization of Microcalcification |
International Journal of Environmental Research and Public Health |
19 |
- |
MDPI |
https://doi.org/10.3390/ijerph19042159 |
| A compartmental Mathematical model of COVID-19 intervention scenarios for Mumbai |
medRxiv |
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- |
Cold Spring Harbor Laboratory Press |
https://doi.org/10.1101/2022.02.28.22271624 |
| Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread |
Arabian Journal for Science and Engineering |
47 |
209-218 |
Springer Berlin Heidelberg |
https://doi.org/10.1007/s13369-021-05827-w |
| An efficient self-embedding fragile watermarking scheme for image authentication with two chances for recovery capability |
Multimedia Tools and Applications |
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1-22 |
Springer US |
https://doi.org/10.1007/s11042-022-13270-8 |