Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …
has spread to 210 countries worldwide. It has had a significant impact on health systems …
Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Abstract The Artificial Bee Colony (ABC) technique is a highly effective method of
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …
IoT based smart agrotech system for verification of Urban farming parameters
The recent seen intelligent technologies like the internet of things (IoT), computer vision etc.
facilitates farming activities and also provides flexible farm operations. On the other side …
facilitates farming activities and also provides flexible farm operations. On the other side …
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks
Abstract Internet of Things (IoT) is the efficient wireless communication in the modern era,
energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of …
energy efficiency is the primary issue that focuses mainly on the Cognitive network. Most of …
Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT
The Mobile networks deploy and offers a multiaspective approach for various resource
allocation paradigms and the service based options in the computing segments with its …
allocation paradigms and the service based options in the computing segments with its …
Development of big data predictive analytics model for disease prediction using machine learning technique
R Venkatesh, C Balasubramanian… - Journal of medical …, 2019 - Springer
Now days, health prediction in modern life becomesvery much essential. Big data analysis
plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to …
plays a crucial role to predict future status of healthand offerspreeminenthealth outcome to …
Cervical cancer identification with synthetic minority oversampling technique and PCA analysis using random forest classifier
R Geetha, S Sivasubramanian, M Kaliappan… - Journal of medical …, 2019 - Springer
Cervical cancer is the fourth most communal malignant disease amongst women worldwide.
In maximum circumstances, cervical cancer indications are not perceptible at its initial …
In maximum circumstances, cervical cancer indications are not perceptible at its initial …
An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection
Rice is a very essential food for the survival of human society. Most of the people focus on
production of rice for their financial gain as well as their survival in the society. Rice …
production of rice for their financial gain as well as their survival in the society. Rice …
DRFS: detecting risk factor of stroke disease from social media using machine learning techniques
In general humans are said to be social animals. In the huge expanded internet, it's really
difficult to detect and find out useful information about a medical illness. In anticipation of …
difficult to detect and find out useful information about a medical illness. In anticipation of …
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …
confluence between Big Data technologies and bio-inspired computation. A manifold of …