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Akhil Kumar

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2024
[j8]
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Akhil Kumar, R. Dhanalakshmi:
EYE-YOLO: a multi-spatial pyramid pooling and Focal-EIOU loss inspired tiny YOLOv7 for fundus eye disease detection. Int. J. Intell. Comput. Cybern. 17(3): 503-522 (2024)
2023
[j7]
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Mrigank Shukla, Akhil Kumar:
An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task. IEEE Access 11: 36929-36944 (2023)
[j6]
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Akhil Kumar, Arvind Kalia, Akashdeep Sharma, Manisha Kaushal:
A hybrid tiny YOLO v4-SPP module based improved face mask detection vision system. J. Ambient Intell. Humaniz. Comput. 14(6): 6783-6796 (2023)
[j5]
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Akhil Kumar:
A cascaded deep-learning-based model for face mask detection. Data Technol. Appl. 57(1): 84-107 (2023)
[j4]
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Akhil Kumar, Manisha Kaushal, Akashdeep Sharma:
SAM C-GAN: a method for removal of face masks from masked faces. Signal Image Video Process. 17(7): 3749-3757 (2023)
2022
[j3]
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Akhil Kumar, Yogya Kalra, Weihe Wendy Guan, Vansh Tibrewal, Rupali Batta, Andrew Chen:
COVID-19 impact on excess deaths of various causes in the United States. Ann. GIS 28(4): 457-478 (2022)
[j2]
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Akhil Kumar, Arvind Kalia, Kinshuk Verma, Akashdeep Sharma, Manisha Kaushal, Aayushi Kalia:
Scaling Up Face Masks Classification Using a Deep Neural Network and Classical Method Inspired Hybrid Technique. KSII Trans. Internet Inf. Syst. 16(11): 3658-3679 (2022)
2020
[j1]
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Akhil Kumar, Arvind Kalia, Akashdeep Sharma:
Object Detection: A Comprehensive Review of the State-of-the-Art Methods. Int. J. Next Gener. Comput. 11(1) (2020)

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