IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification

DN Le, VS Parvathy, D Gupta, A Khanna… - International journal of …, 2021 - Springer
At present times, the drastic advancements in the 5G cellular and internet of things (IoT)
technologies find useful in different applications of the healthcare sector. At the same time …

Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model

K Shankar, ARW Sait, D Gupta… - Pattern Recognition …, 2020 - Elsevier
In recent days, the incidence of Diabetic Retinopathy (DR) has become high, affecting the
eyes because of drastic increase in the glucose level in blood. Globally, almost half of the …

Optimal bilateral filter and convolutional neural network based denoising method of medical image measurements

M Elhoseny, K Shankar - Measurement, 2019 - Elsevier
Image denoising has been foremost concern in the field of medical imaging (MI). For image
denoising, the most challenging is to protect the data bearing structures such as edges and …

Highly reliable and low-complexity image compression scheme using neighborhood correlation sequence algorithm in WSN

J Uthayakumar, M Elhoseny… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, the advancements in the field of wireless technologies and micro-electro-
mechanical systems lead to the development of potential applications in wireless sensor …

An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19

DA Pustokhin, IV Pustokhina, PN Dinh… - Journal of Applied …, 2023 - Taylor & Francis
In recent days, COVID-19 pandemic has affected several people's lives globally and
necessitates a massive number of screening tests to detect the existence of the coronavirus …

Retracted: Multiscale fast correlation filtering tracking algorithm based on a feature fusion model

Y Chen, J Wang, S Liu, X Chen, J Xiong… - Concurrency and …, 2021 - Wiley Online Library
<i>Retracted:</i> Multiscale fast correlation filtering tracking algorithm based on a feature
fusion model Page 1 Received: 25 June 2019 Revised: 10 August 2019 Accepted: 26 August …

An efficient intrusion detection method based on LightGBM and autoencoder

C Tang, N Luktarhan, Y Zhao - Symmetry, 2020 - mdpi.com
Due to the insidious characteristics of network intrusion behaviors, developing an efficient
intrusion detection system is still a big challenge, especially in the era of big data where the …

Significance and possibility of VR technology embedded in the teaching of ideological and political theory course in colleges and universities

N Zhang, X Chen, H Yin - IEEE Access, 2020 - ieeexplore.ieee.org
The main function of Ideological and political theory course in Colleges and universities is to
carry out ideological and political education and moral education to help students establish …

Secure data transmission through reliable vehicles in VANET using optimal lightweight cryptography

P Manickam, K Shankar, E Perumal, M Ilayaraja… - … and secure information …, 2019 - Springer
Abstract Vehicular Ad Hoc Networks (VANETs) is an important communication paradigm in
modern mobile computing for transferring message for either condition, road conditions. A …

An efficient image encryption scheme based on signcryption technique with adaptive elephant herding optimization

K Shankar, M Elhoseny, E Perumal, M Ilayaraja… - … and Secure Information …, 2019 - Springer
IoT makes incorporated communication circumstances of interconnected devices and stages
by drawing in both practical and substantial worlds simultaneously. The researchers of the …