Prediction of crop yield using machine learning
Farming is the major work which is considered as a culture instead like job and farming is
the back bone of our economy as farming is the means which carried forth human …
the back bone of our economy as farming is the means which carried forth human …
Average Response Time (ART): Real-Time Traffic Management in VFC Enabled Smart Cities
The extension of Cloud computing with an effective impact is the Fog computing with respect
to the edge network which has the capability of identifying location awareness with probable …
to the edge network which has the capability of identifying location awareness with probable …
A survey machine learning based object detections in an image
One of the research emergence as per studied problem on the image processing based
computer vision is that object detection in a image with bounding boxes. This complicated …
computer vision is that object detection in a image with bounding boxes. This complicated …
Enhanced ANN training model to smooth and time series forecast
In the present era most of the researchers has done extensive research in forecasting the
time series data using distinct" linear, nonlinear and hybrid linear models" that combines …
time series data using distinct" linear, nonlinear and hybrid linear models" that combines …
COVID-19 Detector Using Deep Learning
MA Shaik, S kumar Koppula… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
This paper attempt to overcome the existing Covid 19 detection challenge, which aims to
predict whether the tested person is a covid positive or covid negative. This research work …
predict whether the tested person is a covid positive or covid negative. This research work …
RETRACTED: RNN based prediction of spatiotemporal data mining
The Spatiotemporal pattern is considered by most of the researchers to be a rehashed
arrangement or relationship of specific occasions or highlights of spatiotemporal and to …
arrangement or relationship of specific occasions or highlights of spatiotemporal and to …
Prediction of heart disease using swarm intelligence based machine learning algorithms
In the present era heart disease is considered to be one of the major diseases and many
people are suffering due to this disease and the foremost challenge is identification and …
people are suffering due to this disease and the foremost challenge is identification and …
Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach
Emotion recognition has gained a lot of traction lately. It is also a very fast growing field with
a huge amount of investment and research going into it. In this paper, we discuss video …
a huge amount of investment and research going into it. In this paper, we discuss video …
Cost function for energy (CFE) in Fog based IoT networks
S Mohmmad, R Dadi, SN Pasha… - AIP Conference …, 2022 - pubs.aip.org
IoT based Fog Computing become major needy technology integration for innovative
engineering. In the IoT based technologies the Fog nodes communicate with network edge …
engineering. In the IoT based technologies the Fog nodes communicate with network edge …
Predicting present day mobile phone sales using time series based hybrid prediction model
In past decades, usually people purchase electronic products or gadgets at nearby retail
stores or from direct brand showrooms. The manufacturers collect feedback from the …
stores or from direct brand showrooms. The manufacturers collect feedback from the …