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Full-Text Articles in Applied Mathematics
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Library Philosophy and Practice (e-journal)
Abstract
Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …
Optimal Analytical Methods For High Accuracy Cardiac Disease Classification And Treatment Based On Ecg Data, Jianwei Zheng
Optimal Analytical Methods For High Accuracy Cardiac Disease Classification And Treatment Based On Ecg Data, Jianwei Zheng
Computational and Data Sciences (PhD) Dissertations
This work constitutes six projects. In the first project, a newly inaugurated research database for 12-lead electrocardiogram signals was created under the auspices of Chapman University and Shaoxing People's Hospital (Shaoxing Hospital Zhejiang University School of Medicine). This database aims to enable the scientific community in conducting new studies on arrhythmia and other cardiovascular conditions. In the second project, we created a new 12-lead ECG database under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University that aims to provide high quality data enabling detection of the distinctions between idiopathic ventricular arrhythmia from right ventricular outflow tract …
An Improved Method For Spectroscopic Quality Classification, Elizabeth G. Mayer
An Improved Method For Spectroscopic Quality Classification, Elizabeth G. Mayer
Mathematics & Statistics ETDs
Spectral quality classification is a vital step in data cleaning before the
analysis of magnetic resonance spectroscopy (MRS) data can be done. This
analysis compares five methods of quality classification; three of these are
legacy methods, Maudsley et al. (2006), Zhang et al. (2018), and
Bustillo et al. (2020), and two newly created methods that used a random forests
classifier (RFC) to inform their classifications. We found that the random forest
classifier was the most accurate at predicting spectra quality (balanced
accuracy for RF of 88% vs legacy of 70%, 72%, or 72%). A
Random-Forests-Informed Filtering method (RFIFM) for quality …
The Application Of Machine Learning Models In The Concussion Diagnosis Process, Sujit Subhash
The Application Of Machine Learning Models In The Concussion Diagnosis Process, Sujit Subhash
Masters Theses
“Concussions represent a growing health concern and are challenging to diagnose and manage. Roughly four million concussions are diagnosed every year in the United States. Although research into the application of advanced metrics such as neuroimages and blood biomarkers has shown promise, they are yet to be implemented at a clinical level due to cost and reliability concerns. Therefore, concussion diagnosis is still reliant on clinical evaluations of symptoms, balance, and neurocognitive status and function. The lack of a universal threshold on these assessments makes the diagnosis process entirely reliant on a physician’s interpretation of these assessment scores. This study …