Machine Learning based Bayesian Network Models for Reverse Engineering Data Optimization-Reference-Cited by-同舟云学术

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Machine Learning based Bayesian Network Models for Reverse Engineering Data Optimization

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Edge Computing and Applications (ICECAA)
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Author:

Chapala Hari Kishan¹,Rao C Madhusudhana²,Chandra Pamulapati Satish³,Sharma Animesh Kumar⁴,Gangrade Sapna⁵,Kavita K⁶

Affiliation:

1. St. Ann's College of Engineering & Technology,Dept. of CSE (AI & ML),Chirala,India

2. Institute of Aeronautical Engineering,Department of CSIT,Hyderabad,India

3. SRM Institute of Science & Technology,Department of ECE,Chennai,India

4. Raipur Institute of Technology,Department of Mathematics,Raipur,India

5. Lords Institute of Engineering & Technology,Department of ECE,Hyderabad,India

6. BVRIT Hyderabad College of Engineering for Women,Department of Mathematics,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935819/9936051/09936482.pdf?arnumber=9936482

Reference16 articles.

1. Design of Reverse Logistics Network for Remanufacturing Waste Machine Tools Based on Multi-Objective Gray Wolf Optimization Algorithm

2. Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks

3. A Rear-End Collision Risk Evaluation and Control Scheme Using a Bayesian Network Model

4. A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling

5. Hierarchical Bayesian Inference and Learning in Spiking Neural Networks

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