A biomedical perspective in terahertz nano-communications—A review
Terahertz (THz)-band (0.1~ 10 THz) communications are celebrated to be a crucial enabling
technology for sixth generation (6G) wireless systems that fulfil the stringent requirements of …
technology for sixth generation (6G) wireless systems that fulfil the stringent requirements of …
[HTML][HTML] Terahertz imaging for breast cancer detection
L Wang - Sensors, 2021 - mdpi.com
Terahertz (THz) imaging has the potential to detect breast tumors during breast-conserving
surgery accurately. Over the past decade, many research groups have extensively studied …
surgery accurately. Over the past decade, many research groups have extensively studied …
Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) …
We present an automatic classification strategy for early and accurate assessment of burn
injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different …
injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different …
Epileptic seizure detection from EEG signals using logistic model trees
Reliable analysis of electroencephalogram (EEG) signals is crucial that could lead the way
to correct diagnostic and therapeutic methods for the treatment of patients with neurological …
to correct diagnostic and therapeutic methods for the treatment of patients with neurological …
An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs
High-voltage circuit breakers (HVCBs) play an important role in power systems, which can
control and ensure the power grids are working properly. Real-time fault diagnosis of …
control and ensure the power grids are working properly. Real-time fault diagnosis of …
Classification of terahertz-pulsed imaging data from excised breast tissue
AJ Fitzgerald, S Pinder… - … of biomedical optics, 2012 - spiedigitallibrary.org
We investigate the efficacy of using data reduction techniques to aid classification of
terahertz (THz) pulse data obtained from tumor and normal breast tissue. Fifty-one samples …
terahertz (THz) pulse data obtained from tumor and normal breast tissue. Fifty-one samples …
Automatic recognition of breast invasive ductal carcinoma based on terahertz spectroscopy with wavelet packet transform and machine learning
We demonstrate an automatic recognition strategy for terahertz (THz) pulsed signals of
breast invasive ductal carcinoma (IDC) based on a wavelet entropy feature extraction and a …
breast invasive ductal carcinoma (IDC) based on a wavelet entropy feature extraction and a …
Exploring sampling in the detection of multicategory EEG signals
The paper presents a structure based on samplings and machine leaning techniques for the
detection of multicategory EEG signals where random sampling (RS) and optimal allocation …
detection of multicategory EEG signals where random sampling (RS) and optimal allocation …
Material classification for terahertz images based on neural networks
T Kubiczek, JC Balzer - IEEE Access, 2022 - ieeexplore.ieee.org
Terahertz time-domain spectroscopy enables the extraction of electrical properties from
materials. An extraction of the complex permittivity can be carried out with measurements in …
materials. An extraction of the complex permittivity can be carried out with measurements in …
Segmentation of Terahertz imaging using k-means clustering based on ranked set sampling
Terahertz imaging is a novel imaging modality that has been used with great potential in
many applications. Due to its specific properties, the segmentation of this type of images …
many applications. Due to its specific properties, the segmentation of this type of images …