The most important technique for exposing early-stage breast cancer is terahertz imaging. It aids in lowering the number of breast cancer-related fatalities and enhancing the quality of life. An essential component of developing the THz imaging system for high-quality photos is choosing the right sensor. In this article, a wideband antenna for microwave imaging of breast tissue with an operating frequency of 30 GHz (107 GHz to 137 GHz) is constructed and analyzed. An aperture-coupled antenna with an optimized ground aperture is proposed and analyzed, which made it possible to obtain better and consistent impedance matching in the wideband spectrum. The variation of backscattered signal energy in body tissue is assessed with healthy breast tissue and in the presence of malignant cells. A significant difference in energy scattering is observed for both situations. The suggested antenna’s linear and stable time domain characteristics make it an appropriate component for THz imaging technology.

Autism spectrum disorder (ASD) is a medical condition in which an individual has certain behavior abnormalities, language impairment, and communication problems in the social world. It is a kind of a neurological setback that hinders the ability of an individual. In this work, an effort is made to propose an efficient machine learning-based classifier to assess the individuals on the parameters laid down for ASD based upon the traits captured from the ASD-affected individuals. The standard dataset of 1,054 toddlers is taken, which consists of two categories of toddlers, namely affected by ASD and not affected. The dataset contains 17 features, amongst which 12 features have been selected using correlation-based feature selection, and the random tree classifier gave the best overall performance with an accuracy of 98.9% with 17 features and 99.7% with the selected feature set. The results thus obtained have been compared with other state-of-the-art methods, and the proposed approach outperforms most of them. Request access from your librarian to read this article's full text.