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Makul Mahajan

School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA.

SCHOLARLY PAPERS

3

DOWNLOADS

180

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Recent Trends in Skin Cancer Detection Using Deep Learning Based Techniques Applied on Medical Imaging: A Short Review

Proceedings of the KILBY 100 7th International Conference on Computing Sciences 2023 (ICCS 2023)
Number of pages: 8 Posted: 04 Jun 2024
Lovely Professional University, Lovely Professional University, Lovely Professional University and School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA.
Downloads 73 (860,052)

Abstract:

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skin cancer, deep learning, skin lesions, medical imaging, computer aided detection, healthcare.

2.

A Novel Approach for the Detection of Skin Cancer Using Ensemble Deep Learning-Based Technique

Proceedings of the KILBY 100 7th International Conference on Computing Sciences 2023 (ICCS 2023)
Number of pages: 7 Posted: 04 Jun 2024
Lovely Professional University, Lovely Professional University, Lovely Professional University and School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA.
Downloads 60 (980,173)

Abstract:

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skin cancer, deep learning, ensemble learning, medical imaging, computer aided detection, healthcare.

3.

Recent Advances in Drowsiness Detection a Systematic Review

Proceedings of the KILBY 100 7th International Conference on Computing Sciences 2023 (ICCS 2023)
Number of pages: 6 Posted: 09 Apr 2024
Lovely Professional University - School of Computer Science and Engineering, School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA. and School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, INDIA.
Downloads 47 (1,109,210)

Abstract:

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drowsiness, industries, transportation, EEG sensors, eye-tracking sensors, behavior, signs of drowsiness, physiological, sensors, algorithms, effectiveness