Commodities Price Prediction using Various ML Techniques-Reference-Cited by-同舟云学术

Commodities Price Prediction using Various ML Techniques

Published:2022-10-10 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Rani Shilpa¹,Kumar Sandeep²,T Venkata Subbamma.³,Jain Arpit²,Swathi A.⁴,M Ramakrishna Kumar M. V. N.⁵

Affiliation:

1. Neil Gogte Institute of Technology,Department of Computer Science & Engineering,Hyderabad,India

2. Koneru Lakshmaiah Educational Foundation,Department of Computer Science & Engineering,Vaddeswaram,Andhra Pradesh,India

3. Anna University,Department of Computer Science & Engineering,Tamil Nadu,India

4. Sreyas Institute of Engineering and Technology,Department of Computer Science and Engineering,Hyderabad,Telangana,India

5. College of Engineering, National University of Science and Technology,Department of Electrical and Communication,Muscat Sultanate of Oman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987725/9987727/09987967.pdf?arnumber=9987967

Reference30 articles.

1. Price Prediction of Agriculture Commodities Using Machine Learning and NLP;girish;Second IEEE International Conference on Smart Technologies in Computing Electrical and Electronics (ICSTCEE),0

2. Forecasting agricultural commodity prices using model selection framework with time series features and forecast horizons;dabin;IEEE Access,2020

3. Face Spoofing, Age, Gender and Facial Expression Recognition Using Advance Neural Network Architecture-Based Biometric System

4. Object-Based Image Retrieval Using the U-Net-Based Neural Network

5. Path control of mobile robot using Cuckoo-PID

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