Use and adaptations of machine learning in big data—Applications in real cases in agriculture
A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
Recommendation system based on Tamil-English code-mixed text analysis
S Vijayakumar, G Murugaiah… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
The cinema industry has always been popular since its inception many years ago and is a
preferred pastime of many people. It can be observed that even though online movie …
preferred pastime of many people. It can be observed that even though online movie …
Development and Validation of Unsupervised Machine Learning Clustering Techniques
VNSSP Kolipaka, NDJR Ghanta, HDP Koppaka… - … Conference on Smart …, 2023 - Springer
Nowadays a greater number of users participates is used to create new issues and
discussion on social media that form into different kinds of groups such as Positive and …
discussion on social media that form into different kinds of groups such as Positive and …
Open source tools for machine learning with big data in smart cities
UD Ulusar, DG Ozcan, F Al-Turjman - Smart Cities Performability …, 2020 - Springer
Increasing traffic, population, and public safety are major issues of cities. Many cities face
social and environmental sustainability challenges such as pollution and environmental …
social and environmental sustainability challenges such as pollution and environmental …
[PDF][PDF] Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture. Electronics 2021, 10, 552
A Cravero, S Sepúlveda - 2021 - pdfs.semanticscholar.org
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
How to discover hidden knowledge according to different type data set: A guideline to apply the right hybrid information mining approach
R Paiano, S Pasanisi - BRAIN. Broad Research in Artificial …, 2018 - lumenpublishing.com
The use of advanced data analysis techniques is now of considerable importance in order to
allow the complex extraction of previously unknown and potentially useful implicit …
allow the complex extraction of previously unknown and potentially useful implicit …
[PDF][PDF] Forecasting Mask Demand Using Sentiment Analysis and Machine Learning During The COVID-19 Pandemic and Comparison with Traditional Forecasting …
O Faruque - 2023 - researchgate.net
This study investigates the forecasting of mask demand during the COVID-19 pandemic by
integrating sentiment analysis and machine learning techniques. By comparing the …
integrating sentiment analysis and machine learning techniques. By comparing the …
[引用][C] Sentiment Analysis and Predictions of Tweet Emotions Using Different Visualization Approaches
V Pellakuri - Turkish Journal of Computer and Mathematics …, 2021
[引用][C] SENTIMENT ANALYSIS AND CLASSIFICATION OF TWEETS BASED ON MACHINE LEARNING
FFS SHIHAB - 2022