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Published By Chapman And Hall/CRC

9781003111290
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods

2021 ◽  
pp. 217-231
Author(s):  
V. Kakulapati ◽  
BasavaRaju Kanchipuram ◽  
Appiah Prince ◽  
P. Shiva Kalyan
Keyword(s):  
Disease Prediction

A Tier-based Educational Analytics Framework

2021 ◽  
pp. 233-247
Author(s):  
Javed Nazura ◽  
Paul Anand

Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques

2021 ◽  
pp. 47-64
Author(s):  
Anisha P. Rodrigues ◽  
Joyston Menezes ◽  
Roshan Fernandes ◽  
Aishwarya ◽  
Niranjan N. Chiplunkar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Crop Diseases ◽  
Paddy Crop

An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest

2021 ◽  
pp. 83-96
Author(s):  
B.N. Arunakumari ◽  
Aman Rai ◽  
R. Shashidhar
Keyword(s):  
Diabetes Mellitus ◽  
Random Forest

Wheat Rust Disease Detection Using Deep Learning

2021 ◽  
pp. 191-202
Author(s):  
Sudhir Kumar Mohapatra ◽  
Srinivas Prasad ◽  
Sarat Chandra Nayak
Keyword(s):  
Deep Learning ◽  
Disease Detection ◽  
Rust Disease ◽  
Wheat Rust

Churn Prediction in the Banking Sector

2021 ◽  
pp. 317-329
Author(s):  
Shreyas Hingmire ◽  
Jawwad Khan ◽  
Ashutosh Pandey ◽  
Aruna Pavate
Keyword(s):  
Banking Sector ◽  
Churn Prediction

Analysis and Prediction of the Update of Mobile Android Version

2021 ◽  
pp. 433-451
Author(s):  
Aparna Mohan ◽  
R. Maheswari
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