Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Brain disorders pose a substantial global health challenge, persisting as a leading cause of
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …
A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in …
Early-stage Alzheimer's disease (AD) and frontotemporal dementia (FTD) share similar
symptoms, complicating their diagnosis and the development of specific treatment …
symptoms, complicating their diagnosis and the development of specific treatment …
[HTML][HTML] A Novel CNN-Based Framework for Alzheimer's Disease Detection Using EEG Spectrogram Representations
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that
poses critical challenges in global healthcare due to its increasing prevalence and severity …
poses critical challenges in global healthcare due to its increasing prevalence and severity …
[PDF][PDF] Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer's and Frontotemporal Dementia Detection using EEG
Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) represent formidable
neurodegenerative challenges. Existing research into optimal feature-extraction techniques …
neurodegenerative challenges. Existing research into optimal feature-extraction techniques …
A Low Cost CNN-Based Method for Differential Diagnosis of Alzheimer's and Frontotemporal Dementia
Alzheimer's disease (AD) and Frontotemporal Dementia (FTD) are degenerative
neurological diseases, affecting the cognitive abilities of large elderly populations …
neurological diseases, affecting the cognitive abilities of large elderly populations …
Detecting Cognitive Decline in Alzheimer's Disease using Brain Signals: An EEG Based Classification Approach
AN Mohammed - 2024 IEEE 4th International Maghreb Meeting …, 2024 - ieeexplore.ieee.org
Alzheimer's disease is a long-term illness character-ized by a decline in abilities and the
development of dementia. The main objective of this study is to explore the potential of using …
development of dementia. The main objective of this study is to explore the potential of using …