LSTM and KNN: A Tool for Identifying Defects in Food-Reference-Cited by-同舟云学术

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LSTM and KNN: A Tool for Identifying Defects in Food

Published:2023-11-15 Issue: Volume:1 Page:897-902
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
language:
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Author:

Geetha B.T.¹,Monica Cyril Lucy²,Verma Sandhya³,Parvez Anjum³,Rathika S.⁴,Maheswari K⁵

Affiliation:

1. Saveetha School of Engineering, SIM ATS,Department of ECE,Chennai,India

2. V.R. Siddhartha Engineering College,Environmental Science,Vijayawada,India

3. Law College Dehradun, Uttaranchal University,Dehradun,India

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Master of Business Administration,Chennai,India

5. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, Telangana, India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370120.pdf?arnumber=10370120

Reference25 articles.

1. Food Security: The Challenge of Feeding 9 Billion People

2. Nutrition-sensitive interventions and programmes: how can they help to accelerate progress in improving maternal and child nutrition?

3. Lost food, wasted resources: Global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use

4. Application of lean practices in small and medium-sized food enterprises

5. Value Stream Mapping: a study about the problems and challenges found in the literature from the past 15 years about application of Lean tools

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