Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System-Reference-Cited by-同舟云学术

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Design of NBW-MHO with BERT model for prediction of Breast Cancer in IoT Healthcare System

Published:2022-12-26 Issue: Volume: Page:
ISSN:
Container-title:2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)
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Author:

Ghatkamble Rajlakshmi¹,Pareek Piyush Kumar²,D Parameshachari B³

Affiliation:

1. New Horizon College of Engineering,Department of Information Science and Engineering,Bangalore,India

2. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

3. Nitte Meenakshi Institute of Technology,Department of Electronics and Communications Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059463/10059582/10059743.pdf?arnumber=10059743

Reference25 articles.

1. Green Technology and Sustainable Renewable Energy Analysis

2. A Study on Social Engineering Attacks in Cybersecurity

3. Cancer Categorization Using Genetic Algorithm to Identify Biomarker Genes

4. A Study on the Performance of the Faculty Members and Its Impact on Their Academic Rating during the Pandemic Wave One Period

5. Analyzing Human Speech Using Gait Recognition Technology by MFCC Technique

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1. A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT‐Fog system;Expert Systems;2024-04-21

2. Enhancing Healthcare User Interfaces Through Large Language Models Within the Adaptive User Interface Framework;Lecture Notes in Networks and Systems;2024

3. Preserving the Privacy in IoT Medical data in Edge Computing using Modified AES Model with Discrete-Time Alternating Quantum Walk;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

4. Breast Cancer Prediction in Mammogram Images using EfficientNet Based Hybrid Deep Learning Model;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

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