Artificial Intelligence for the Evaluation of Postures Using Radar Technology: A Case Study.

In the last few decades, major progress has been made in the medical field; in particular, new treatments and advanced health technologies allow for considerable improvements in life expectancy and, more broadly, in quality of life. As a consequence, the number of elderly people is expected to increase in the following years. This trend, along with the need to improve the independence of frail people, has led to the development of unobtrusive solutions to monitor daily activities and provide feedback in case of risky situations and falls.

Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions.

Ambient Assisted Living is a concept that focuses on using technology to support and enhance the quality of life and well-being of frail or elderly individuals in both indoor and outdoor environments. It aims at empowering individuals to maintain their independence and autonomy while ensuring their safety and providing assistance when needed. Human Activity Recognition is widely regarded as the most popular methodology within the field of Ambient Assisted Living.

Towards the Simulation of a Realistic Large-Scale Spiking Network on a Desktop Multi-GPU System.

The reproduction of the brain 'sactivity and its functionality is the main goal of modern neuroscience. To this aim, several models have been proposed to describe the activity of single neurons at different levels of detail. Then, single neurons are linked together to build a network, in order to reproduce complex behaviors.

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images.

The use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of information captured by the sensors. One of the stages with higher computational load is the K-Nearest Neighbors (KNN) filtering algorithm.

The lack of 4-hydroxynonenal in otosclerotic bone tissue in Ethiopian population.

In Ethiopians, like in other Africans, the incidence of otosclerosis is lower than in Western and Asian populations. Unfortunately, due to the lack of available otorhinolaryngology specialists many patients are not treated and suffer the progression of the disease and severe hearing loss. This program of the Global ENT Outreach Organization (GEO) together with the Ethiopian partners was done to help some of these patients and in parallel to evaluate the presence of the oxidative stress bioactive marker 4-hydroxynonenal (HNE), which is known as major lipid peroxidation product and the second messenger of free radicals, in the otosclerotic bone specimens.