Quantum Machine Learning on Remote Sensing Data Classification by Yi Liu1 , Wendy Wang 1,* , Haibo Wang 3 , Bahram Alidaee4 1 University of Massachusetts Dartmouth, Department of Computer and Information Science, Dartmouth, MA 02747, USA2 University of North Alabama, Computer Sciences and Information Systems, Florence, AL 35632, USA3 Texas A&M International University, Division of International …
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Machine-Learning based Decoding of Surface Code Syndromes in Quantum Error Correction by Debasmita Bhoumik 1,* , Pinaki Sen 2, Ritajit Majumdar 1, Susmita Sur-Kolay 1, Latesh Kumar KJ 3, Sundaraja Sitharama Iyengar 3 1 Advanced Computing & Microelectronics Unit, Indian Statistical Institute, Kolkata, 700108, India2 Department of Electrical Engineering, National Institute of Technology, Agartala, India3 KFSCIS, …
Volume 2, Issue 12 Download Complete Issue ABC Editorial Front Cover Publication Month: January 2022, Page(s): A1 – A1 Editorial Board Publication Month: January 2022, Page(s): B1 – B1 Editorial Publication Month: January 2022, Page(s): C1 – C1 Table of Contents Publication Month: January 2022, Page(s): D1 – D1 Articles Failure Analysis & Mechanism Studies …
Real-Time Acquisition and Classification of Electrocardiogram Signal by Sheikh Md. Rabiul Islam 1,* , Akram Hossain 2 , Asif Abdullah 3 1 Department of Electronic and Communication Engineering, Khulna University of Engineering & Technology, Khulna,9203, Bangladesh2 Department of Biomedical Engineering, Khulna University of Engineering & Technology, Khulna,9203, Bangladesh3 Department of Biomedical Engineering, Jashore University of …
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Volume 1, Issue 11 Download Complete Issue This research issue presents groundbreaking studies that transcend disciplinary boundaries to address multifaceted challenges. One paper offers an innovative approach integrating psychological and contextual factors to better understand human behavior within built environments through virtual reality experiments. Another develops a cost-effective, portable device leveraging machine learning for early …
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