Objectives: Alzheimer's disease is one of the most fastest growing and costly diseases in the
world today. It affects the livelihood of not just patients, but those who take care of them …

Microwave breast screening has been proposed as a complementary modality to the current
standard of X-ray mammography. In this work, we design three ensemble classification …

We present the design of a flexible multilayer circuit board for use in a custom-built
microwave system for breast health monitoring. The flexible circuit features both an …

Objective: This paper assesses the diagnostic performance of deep learning methods for
tumour detection in breast microwave sensing (BMS). Methods: A convolutional neural …

Objective: In this study, we examine the potential of using machine learning classification to
determine the bladder state ('not full','full') with electrical impedance tomography (EIT) …

Breast microwave sensing (BMS) is a potential breast cancer detection technique that uses
low-power microwave radiation to detect the presence of cancerous lesions. This work …

Microwave breast cancer detection involves analysing the scattered waveforms of
microwave signals that are propagated into the breast. We have developed a microwave …

Breast microwave sensing (BMS) is an emerging modality that has the potential to be used
as a breast cancer screening technique but challenges remain before the modality is …

Today, food contamination due to foreign body is still a trouble for food manufacturers. First
of all, because they have to guarantee a safe product to consumers. Secondly because a …

Breast cancer is one of the most common malignancies among women in the world. Early
detection and reliable monitoring are important factors in improving the survival rate and …