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CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture

Computers in Biology and Medicine
Driver monitoring systems (DMS) are crucial in autonomous driving systems (ADS) when users are concerned about driver/vehicle safety. In DMS, the significant influencing factor of driver/vehicle safety is the classification of driver distractions or activities.
Chittathuru Himala Praharsha   +1 more
openaire   +2 more sources

Development of signature recognition system using VGG16

Journal of Discrete Mathematical Sciences & Cryptography, 2023
The goal of this research is to locate a signature recognition system that can replace individual presence in the process of handwritten signature recognition. It has been discovered that an automatic signature recognition system that does not require a person’s physical presence is necessary throughout corona duration.
Deepak Moud, Rakesh Kumar Saxena
openaire   +1 more source

m-VGG16: a dermoscopy image segmentation method based on VGG16

Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2023
Linyi Zheng, YuXing Dai
openaire   +1 more source

Malware Image Classification using VGG16

2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS), 2022
K Deepa, K S Adithyakumar, P Vinod
openaire   +1 more source

Klasifikasi Daun Menggunakan VGG16 dan ResNet34

JURNAL KOMPUTER DAN TEKNOLOGI INFORMASI
Penyakit pada tanaman merupakan salah satu penyebab turunnya kualitas hasil pertanian maupun perkebunan. Hal tersebut dapat disebabkan oleh bakteri, virus, jamur, dan faktor lainnya. Untuk mengetahui tanaman tersebut terkena penyakit dapat dilihat melalui perubahan pada daun seperti bercak pada daun, daun layu, dan daun berubah berwarna coklat.
Fajar Bima Laksono, Rima Dias Ramadhani
openaire   +1 more source

Detection of Brain Tumor using VGG16

2023 8th International Conference on Communication and Electronics Systems (ICCES), 2023
Sasupalli Rohith   +4 more
openaire   +1 more source

Comparative study of CNN, VGG16 with LSTM and VGG16 with Bidirectional LSTM using kitchen activity dataset

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2021
Aparna R   +2 more
openaire   +1 more source

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