Improved object detection in video surveillance using deep convolutional neural network learning
B Dhiyanesh, S Rajkumar… - … on I-SMAC (IoT in Social …, 2021 - ieeexplore.ieee.org
In this paper, a convolutional neural network is used to improve the functionality of object
detection using probabilistic neural network in the analysis of surveillance images. Next, this …
detection using probabilistic neural network in the analysis of surveillance images. Next, this …
[PDF][PDF] Iterative Dichotomiser Posteriori Method Based Service Attack Detection in Cloud Computing.
Cloud computing (CC) is an advanced technology that provides access to predictive
resources and data sharing. The cloud environment represents the right type regarding …
resources and data sharing. The cloud environment represents the right type regarding …
Detection of lung ultrasound covid-19 disease patients based convolution multifacet analytics using deep learning
E Naveenkumar, B Dhiyanesh… - … and smart energy …, 2022 - ieeexplore.ieee.org
Deep Learning techniques for ultrasound images, from the front end to the most advanced
applications, are the potential effect of deep learning methods on many aspects of the …
applications, are the potential effect of deep learning methods on many aspects of the …
Analysis of lung cancer detection based on the machine learning algorithm and IOT
Early detection of sickness can help decrease mortality in Lung cancer. Cancer is one of the
major reasons for the increase in mortality rate globally. The biomedical image processing …
major reasons for the increase in mortality rate globally. The biomedical image processing …
Effective DDoS attack detection using deep generative radial neural network in the cloud environment
Recently, internet services have increased rapidly due to the Covid-19 epidemic. As a result,
cloud computing applications, which serve end-users as subscriptions, are rising. Cloud …
cloud computing applications, which serve end-users as subscriptions, are rising. Cloud …
Lung Ultrasound COVID-19 detection using deep feature recursive neural network
E Naveenkumar, B Dhiyanesh, D Magesh… - … Systems: Proceedings of …, 2022 - Springer
Abstract Coronavirus disease (COVID-19) is a universal illness that has been prevalent
since December 2019. COVID-19 causes a disease that extends to more serious illnesses …
since December 2019. COVID-19 causes a disease that extends to more serious illnesses …
RETRACTED ARTICLE: Threshold based DDoS mitigation with fog layer in cloud environment
Security is an important to process our data in public network. Most of the have the problem
of distributed denial of service attacks, the cloud also a witness of facing distributed denial of …
of distributed denial of service attacks, the cloud also a witness of facing distributed denial of …
Effective attribute selection and classification technique for phishing attacks detection
B Dhiyanesh, N Selvanathan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Wireless communications are fast growing technologies. Many online customers have
suffered from phishing attacks while accessing the internet services. If customers access a …
suffered from phishing attacks while accessing the internet services. If customers access a …
Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning
M Ramkumar, P Shanmugaraja, B Dhiyanesh… - International Conference …, 2023 - Springer
The symptoms of bipolar disorder include extreme mood swings. It is the most common
mental health disorder and is often overlooked in all age groups. Bipolar disorder is often …
mental health disorder and is often overlooked in all age groups. Bipolar disorder is often …
Brain Tumor Detection Using Deep Learning Neural Network for Medical Internet of Things Applications
The Internet of Things technology in medical applications ensures that the medical industry
can improve the quality and optimization of medical care. In a medical image, the …
can improve the quality and optimization of medical care. In a medical image, the …