Cyber-physical system security based on human activity recognition through IoT cloud computing
Cyber-physical security is vital for protecting key computing infrastructure against cyber
attacks. Individuals, corporations, and society can all suffer considerable digital asset losses …
attacks. Individuals, corporations, and society can all suffer considerable digital asset losses …
Analysis of CNN features with multiple machine learning classifiers in diagnosis of monkeypox from digital skin images
V Kumar - MedRxiv, 2022 - medrxiv.org
Concerns about public health have been heightened by the rapid spread of monkeypox to
more than 90 countries. To contain the spread, AI assisted diagnosis system can play an …
more than 90 countries. To contain the spread, AI assisted diagnosis system can play an …
Role of Internet of things and cloud computing in education system: a review
AK Gairola, V Kumar - International Conference on Computational …, 2022 - Springer
The current outbreak of the coronavirus (COVID19) pandemic has affected education across
the world. To meet the current challenges posed by COVID19, educational institutions …
the world. To meet the current challenges posed by COVID19, educational institutions …
Monkeypox disease diagnosis using machine learning approach
AK Gairola, V Kumar - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
A public health crisis has been declared due to the rapid spread of monkeypox in more than
90 nations. Early-stage monkeypox is hard to identify since it looks the same as chickenpox …
90 nations. Early-stage monkeypox is hard to identify since it looks the same as chickenpox …
Learning unsupervised visual representations using 3d convolutional autoencoder with temporal contrastive modeling for video retrieval
The rapid growth of tag-free user-generated videos (on the Internet), surgical recorded
videos, and surveillance videos has necessitated the need for effective content-based video …
videos, and surveillance videos has necessitated the need for effective content-based video …
A Review on Deep Learning based diagnosis of COVID-19 from X-ray and CT Images
V Kumar - 2022 International Mobile and Embedded …, 2022 - ieeexplore.ieee.org
More than 400 million cases of the new coronavirus (COVID-19) have been confirmed since
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
Designing a secure audio/text based captcha using neural network
A CAPTCHA is used to reduce the misuse in the case of rising automated bots or software
systems and also to avoid any corruption of the web services. The Captcha is used as …
systems and also to avoid any corruption of the web services. The Captcha is used as …
Content based surgical video retrieval via multi-deep features fusion
Medicine has seen a rapid increase in the number of minimally invasive surgeries that
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
benefit patients in various ways due to economic and clinical factors. In most hospitals such …
Enhancing unsupervised video representation learning by temporal contrastive modelling using 2d CNN
Using video sequence order as a supervised signal has proven to be effective in initializing
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
2d convnets for downstream tasks like video retrieval and action recognition. Earlier works …
Unsupervised learning of spatio-temporal representation with multi-task learning for video retrieval
V Kumar - 2022 National Conference on Communications …, 2022 - ieeexplore.ieee.org
The majority of videos in the internet lack semantic tags, which complicates indexing and
retrieval, and mandates the adoption of critical content-based analysis approaches. Earlier …
retrieval, and mandates the adoption of critical content-based analysis approaches. Earlier …