[PDF][PDF] 相似网络构建与表征的水下声信号检测

张红伟, 王海燕, 闫永胜, 申晓红 - 电子与信息学报, 2024 - jeit.ac.cn
水下声信号检测在海洋防御系统中扮演着不可或缺的角色, 同时也广泛应用于民用领域. 然而,
在没有目标信号先验信息的情况下, 目前仍缺乏行之有效的水下声信号检测方法. 为此 …

[PDF][PDF] 基于相空间重构和PSO-K-means 的球磨机负荷状态识别方法

蔡改贫, 宋佳, 罗小燕, 吴庆龄 - 科学技术与工程, 2023 - stae.com.cn
摘要针对球磨机振动信号具有强随机性, 非平稳性和非线性等内在特性导致负荷状态难以识别的
问题, 提出一种基于相空间重构和PSO-K-means 的球磨机负荷状态识别方法. 首先 …

Early Detection of Depression and Alcoholism Disorders by EEG Signal

H Akbari, W Korani - International Conference on Neural Information …, 2023 - Springer
Abstract The World Health Organization reported that more than 264 and 80 million patients
worldwide suffer from depression and alcoholism, respectively. Depression and alcoholism …

Die Rolle des EEG als Neuro-Marker für Patienten mit Depression: Ein systematischer Überblick

NK Al-Qazzaz, AA Aldoori - Fortschritte in der nicht-invasiven …, 2024 - Springer
Depressive Symptome können Gefühle der Melancholie, Interessenlosigkeit und
Schwierigkeiten beim Erinnern und Konzentrieren umfassen. Die bestehenden Techniken …

EEG spectral attractors identify a geometric core of resting brain activity

P Pourdavood, M Jacob - bioRxiv, 2023 - biorxiv.org
Spectral analysis of electroencephalographic (EEG) data simplifies the characterization of
periodic band parameters but can obscure underlying dynamics. By contrast, reconstruction …

The Role of EEG as Neuro-Markers for Patients with Depression: A Systematic Review

NK Al-Qazzaz, AA Aldoori - Advances in Non-Invasive Biomedical Signal …, 2023 - Springer
Depressive symptoms may include feelings of melancholy, lack of interest, and difficulty
remembering and focusing. The existing techniques of detecting depression need a lot of …

An AMCMD Approach for Robust EEG Signal Classification: Unraveling Neurophysiological Insights and BCI Applications

MZ Aziz, X Yu - 2023 IEEE 11th International Conference on …, 2023 - ieeexplore.ieee.org
Electroencephalogram (EEG) signal processing plays a pivotal role in deciphering profound
neurophysiological insights from seemingly inconspicuous neural signals, enabling the …

Depression Recognition Based on Pre-trained ResNet-18 Model and Brain Effective Connectivity Network

X Zhao, T Jiang, H Wang - International Forum on Digital TV and Wireless …, 2023 - Springer
Depression has emerged as a primary health burden globally. Therefore, effectively
identifying depression has become a significant challenge and obstacle in the field of public …

COVID-19 Biomarkers Detection Using 'KnowSeq'R Package

I Rojas - Bioengineering and Biomedical Signal and Image …, 2021 - books.google.com
'KnowSeq'R Package includes all the essential tools to carry out transcriptomic analysis,
providing intuitive functions to build efficient and robust pipelines. In this paper, its capacities …

[PDF][PDF] A Two-Step Approach for Improving Sentiment Classification Accuracy.

M Azam, T Ahmed, R Ahmad, A Ur Rehman… - … Automation & Soft …, 2021 - academia.edu
Sentiment analysis is a method for assessing an individual's thought, opinion, feeling,
mentality, and conviction about a specific subject on indicated theme, idea, or product. The …