A Novel Cell Density Prediction Design using Optimal Deep Learning with Salp Swarm Algorithm-Reference-Cited by-同舟云学术

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A Novel Cell Density Prediction Design using Optimal Deep Learning with Salp Swarm Algorithm

Published:2023-04-11 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)
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Author:

Balde Govind Hanmantrao¹,Ala Walid Md. Abul²,P Srinivasan³,Yella Venkata Rajesh⁴,Soumya M.⁵,Rastogi Ravi⁶

Affiliation:

1. N.T.V.S's G. T. Patil Arts, Commerce and Science College,Research and P.G. Department of Zoology,Nandurbar,M.S.,India,425412

2. Khulna University of Engineering and Technology (KUET),Department of Computer Science and Engineering,Khulna,Bangladesh,9203

3. Sona college of Technology,Department of ECE,Salem,Tamilnadu,India

4. Koneru Lakshmaiah Education Foundation,Department of Biotechnology,Vaddeswaram,Andhra Pradesh,INDIA

5. SR University,Department of Computer Science & Artificial Intelligence,Warangal,Telangana,India

6. NIELIT,Electronics Engineering,Gorakhpur,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10125569/10125286/10125711.pdf?arnumber=10125711

Reference21 articles.

1. Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

2. Development of a Prediction Method of Cell Density in Autotrophic/Heterotrophic Microorganism Mixtures by Machine Learning Using Absorbance Spectrum Data

3. Rapid Photocrosslinking of Silk Hydrogels with High Cell Density and Enhanced Shape Fidelity

4. Antibody capture process based on magnetic beads from very high cell density suspension

5. Classification for Crop Pest on U-SegNet

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