Data analytics in farming: rice price prediction in Andhra Pradesh
The variances regarding prices of horticultural commodities adversely affect the nations
GDP. The ranchers are genuinely and monetarily influenced as their long stretches of …
GDP. The ranchers are genuinely and monetarily influenced as their long stretches of …
Deep learning based framework for crop yield prediction
Y Sucharitha, PCS Reddy, TN Chitti - AIP Conference Proceedings, 2023 - pubs.aip.org
Agriculture plays a significant role in improving economy of the nations. India is an agrarian
nation and its economy principally dependent on crop profitability. The effect of …
nation and its economy principally dependent on crop profitability. The effect of …
Predicting election results from twitter using machine learning algorithms
Y Sucharitha, Y Vijayalata… - Recent Advances in …, 2021 - ingentaconnect.com
Introduction: In the present scenario, the social media network plays a significant role in
sharing information between individuals. This incorporates information about news and …
sharing information between individuals. This incorporates information about news and …
Ensemble learning model for prediction of natural gas spot price based on least squares boosting algorithm
A Ali - 2020 International conference on data analytics for …, 2020 - ieeexplore.ieee.org
Among fossil fuels, natural gas has been considered a fuel of choice for increasing the
supply of energy and reducing environmental contamination worldwide. Given that the …
supply of energy and reducing environmental contamination worldwide. Given that the …
Social Media Event Summarization using Neural Networks
S Yadala, A Gurram, S Yamunadevi… - 2022 Third …, 2022 - ieeexplore.ieee.org
Micro blogging sites have become extremely popular, with a huge number of tweets being
posted daily on a broad assortment of subjects. Recent studies have exposed that a …
posted daily on a broad assortment of subjects. Recent studies have exposed that a …
Comprehensive forecasting of interconnected socio-economic indicators as a methodological basis for adopting optimal management
O Yankovyi, O Hutsaliuk… - … on Decision Aid …, 2020 - ieeexplore.ieee.org
The article presents the theoretical achievements of technical cybernetics, in particular the
principle of balancing variables. The essence of which in the final conclusion on the …
principle of balancing variables. The essence of which in the final conclusion on the …
A Framework for Rainfall Forecasting based Crop Analysis using Deep Learning
S Gokuldev, D Selvapandian… - 2023 9th …, 2023 - ieeexplore.ieee.org
More than half of India's arable land is susceptible to drought, making the country's
agriculture perpetually insecure. Crop productivity and agricultural investment are both …
agriculture perpetually insecure. Crop productivity and agricultural investment are both …
[PDF][PDF] Image recognition using deep residual learning
Deeper neural networks are more difficult to train. We present a residual learning framework
to ease the training of networks that are substantially deeper than those used previously. We …
to ease the training of networks that are substantially deeper than those used previously. We …
Investigation on Privacy Hazards in Social Area Network
A Joyce, DMD Preethi - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
The Social Area networking Platform (SANP) is a rapidly develo** technology that allows
users to meet friends, family, and others, who share their interests and express their …
users to meet friends, family, and others, who share their interests and express their …
Revolutionizing Image Recognition and Beyond with Deep Residual Networks
P Baraneedharan, A Nithyasri, P Keerthana - International Conference on …, 2023 - Springer
An important advancement in the history of deep learning, which has revolutionized
computer vision, is the use of deep residual networks, or ResNets. An extensive overview of …
computer vision, is the use of deep residual networks, or ResNets. An extensive overview of …