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Breast Tumour Classification using MobileNetV2

2021 2nd Global Conference for Advancement in Technology (GCAT), 2021
Breast Cancer is the most common cancer in Indian women. While a cure for cancer has not been discovered yet, it has been observed that the survival rate can reach 100% if it is detected early. Thus, our project aims to provide a model that gives an accurate and faster approach of classifying the tumor as benign or malignant present in the dataset of ...
Shambhavi Kumar   +3 more
openaire   +1 more source

MobileNetV2 Model for Image Classification

2020 2nd International Conference on Information Technology and Computer Application (ITCA), 2020
Machine learning has been increasingly prevailing all over the world, especially in the computer vision field. This paper mainly focused on the performance of MobileNetV2 model for image classification. To verify the advanced performance of MobileNetV2 model better, this paper adopted MobileNetVl model as the control group and introduced an experiment ...
Ke Dong   +3 more
openaire   +1 more source

License plate classification based on MobileNetV2

Applied and Computational Engineering, 2023
In China, there are various colors of license plates which represent different kinds of vehicles and we construct a model on Edge Impulse platform to deal with problems in actual engineering programs like parking, traffic flow control, city planning, etc. Lots of researchers have proposed different techniques about license plate classification but most
Tianqi Xu, Ziqi Zhang
openaire   +1 more source

DIABETIC RETINOPATHY DETECTION USING MOBILENETV2 MODEL

International Scientific Journal of Engineering and Management, 2023
Diabetic Retinopathy is caused by damage to the blood vessels In the tissue at the back of the eye(Retina).DR is a common complication of diabetes mellitus,which causes lesions on the retina that effect vision.If it is not detected early it can lead to blindness.DR early detection and treatment can significantly reduce the risk of vision loss.Unlike ...
T VINEELA   +4 more
openaire   +1 more source

Anti-Raider ATM System Using Mobilenetv2

International Journal of Smart Security Technologies, 2021
Cash vending machines are ubiquitous and although their technology vouches for its security, they are erratically stormed by the raiders. Albeit the escalating crime counts, the raiders are fleeing from the justice by virtue of evidence lacking. This research work proposes a computer vision based Anti-Raider ATM system. The proposed approach models the
Gnana Guru Ganesan, null Arun C. A.
openaire   +1 more source

Scene identification based on MobileNetV2

Advances in Engineering Technology Research
Scene identification is a computer vision task, which aims to identify and classify environmental scenes in images or video frames. This technology plays a vital role in image retrieval, monitoring systems, and augmented reality. Convolutional neural networks (CNN) play a key role in scene recognition because CNN can capture and extract the features of
Wenjun Liu, Lin Zhu
openaire   +1 more source

Face Mask Detection using MobileNetV2

2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022
G Lakshmi Durga   +4 more
openaire   +1 more source

Driver fatigue detection based on lightweight MobileNetV2

Applied and Computational Engineering, 2023
Fatigue driving brings a huge potential threat to the property and life safety of drivers and pedestrians. In order to improve the intelligence level of driver fatigue driving detection, a driver fatigue detection method based on MobileNetV2 lightweight separable convolutional neural network is proposed in this study.
openaire   +1 more source

Masked Face Recognition Using MobileNetV2

2022 The 5th International Conference on Control and Computer Vision, 2022
Ming Liu, Wei Qi Yan
openaire   +1 more source

MobileNetV2 Based Chest X-Rays Classification

2021 International Conference on Decision Aid Sciences and Application (DASA), 2021
Shammi Kolonne   +3 more
openaire   +1 more source

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