An Effective Deep Learning Approach for the Estimation of Proton Energy by Using Artificial Neural Network-Reference-Cited by-同舟云学术

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An Effective Deep Learning Approach for the Estimation of Proton Energy by Using Artificial Neural Network

Published:2024-04-22 Issue: Volume:7 Page:257-262
ISSN:
Container-title:2024 21st International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

AL-Mahdawi Manar¹,Kareem Aythem Khairi²,Nafea Ahmed Adil³,Shaban Ali Muwafaq⁴,Aliesawi Salah A. S.⁵,AL-Ani Mohammed M⁶

Affiliation:

1. College of Science, AL-Nahrain University Baghdad,dept. Solid State Physics,Iraq

2. Directorate of Education in Anbar, Ministry of Education,dept. of Heet Education, General,Heet,Anbar,Iraq,31007

3. College of Computer Science and IT University of Anbar Ramadi,dept. Artificail inteligence,Iraq

4. College of Computer Science and IT University of Anbar Ramadi,dept. Information System,Iraq

5. College of Computer Science and Information Technology University of Anbar Ramadi,dept. Computer Science,Iraq

6. Universiti Kebangsaan Malaysia (UKM) Bangi,Faculty of Information Science and Technology,dept. Center for Artificial Intelligence Technology (CAIT),Selangor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548020/10548008/10549706.pdf?arnumber=10549706

Reference32 articles.

1. Proton beams from intense laser-solid interaction: Effects of the target materials

2. Laser-driven time-limited light-sail acceleration of protons for tumor radiotherapy

3. Experimental methods for warm dense matter research

4. Interactions of Ultra‐Intense Laser Light with Matter

5. Measurements of Proton Energy Spectra Generated by Ultra Intense Laser Solid Interactions

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