Fraud Detection in NFC-Enabled Mobile Payments: A Comparative Analysis

Vishwakarma, Pinki Prakash; Tripathy, Amiya Kumar; Vemuru, Srikanth

doi:10.1007/978-981-15-9651-3_34

Innovative Data Communication Technologies and Application

2021

DOI: 10.1007/978-981-15-9651-3_34

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Fraud Detection in NFC-Enabled Mobile Payments: A Comparative Analysis

Pinki Prakash Vishwakarma

Amiya Kumar Tripathy

Srikanth Vemuru

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2021

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Cited by 1 publication

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Automatic Car Damage detection by Hybrid Deep Learning Multi Label Classification

Darney¹

2021

JAICN

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Automating image-based automobile insurance claims processing is a significant opportunity. In this research work, car damage categorization that is aided by the hybrid convolutional neural network approach is addressed and hence the deep learning-based strategies are applied. Insurance firms may leverage this paper's design and implementation of an automobile damage classification/detection pipeline to streamline car insurance claim policy. Using deep convolutional networks to detect car damage is now possible because of recent improvements in the artificial intelligence sector, mainly due to less computation time and higher accuracy with a hybrid transformation deep learning algorithm. In this paper, multiclass classification proposed to categorize the car damage parts such as broken headlight/taillight, glass fragments, damaged bonnet etc. are compiled into the proposed dataset. This model has been pre-trained on a wide-ranging and benchmark dataset due to the dataset's limited size to minimize overfitting and to understand more common properties of the dataset. To increase the overall proposed model’s performance, the CNN feature extraction model is trained with Resnet architecture with the coco car damage detection datasets and reaches a higher accuracy of 90.82%, which is much better than the previous findings on the comparable test sets.

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Automatic Car Damage detection by Hybrid Deep Learning Multi Label Classification

Darney¹

2021

JAICN

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Fraud Detection in NFC-Enabled Mobile Payments: A Comparative Analysis

Cited by 1 publication

References 17 publications

Automatic Car Damage detection by Hybrid Deep Learning Multi Label Classification

Automatic Car Damage detection by Hybrid Deep Learning Multi Label Classification

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