This study evaluates the individual, as well as relative and joint value of indices obtained from magnetic resonance imaging (MRI) patterns of brain atrophy (quantified by the SPARE-AD index), cerebrospinal fluid (CSF) biomarkers, APOE genotype, and cognitive performance (ADAS-Cog) in progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) within a variable follow-up period...

Over 30 dairy companies use the ADAS Milk Laboratory to provide them with individual farm bulk milk quality. The SCC information that this provides is representative of the industry and taken from a large range of dairy farms. Since 1994 (de-regulation) the ADAS Milk Laboratory results have shown a steady decline in SCC. From 2000 the SCC have unfortunately began to rise with an acceleration seen.

Advanced driver assistance systems (ADAS) are technologies that provide drivers with essential information or take over difficult and repetitive tasks. They contribute to improving road safety and increasing driving comfort. Apart from the technical development challenges, training and demonstration of ADAS in safe environments are important concerns for automobile manufacturers and suppliers. ...

Towards the complete vision of smarter distribution grid, advanced distribution automation system (ADAS) is one of the major players in this area. In this scope, this paper introduces a generic strategy for cost-effective implementation and evaluation of ADAS. Along with the same line, fault location, isolation and service restoration (FLISR) is one of the most beneficial and desirable applicat...

The two main research branches in intelligent vehicles field are Advanced Driver Assistance Systems (ADAS) [1] and autonomous driving [2]. ADAS generally work on predefined enviroment and limited scenarios such as highway driving, low speed driving, night driving etc. In such situations this systems have sufficiently high performance and the main features that allow their large diffusion and th...

Ever since the application of probe cars and instrumented vehicles for transport planning or driving behavioural studies, data collection in public road networks have become common. With the availability of Advanced Driver Assistance Systems (ADAS) and the advancing of Autonomous Vehicle (AV) deployment, more and more sensor-equipped vehicles will be available shortly and due to their dependenc...

Developing Advanced Driver Assistance Systems (ADAS) and autonomous vehicles is a challenge without precedence. Whole new engineering fields – such as artificial intelligence – need to be developed, yet time-to-market is short with intense competition. Estimates indicate that billions of miles of road testing will be necessary to ensure safety and reliability of ADAS and autonomous vehicles. Th...

The decreasing cost of sensory technologies including camera and radar has facilitated the outspread of advanced driver assistance (ADAS) systems into modern vehicles. ADAS systems can operate beyond the scope of stability control, by employing autonomous intervention in both longitudinal and lateral direction. Adaptive cruise control and lanekeeping aid (LKA) are the pinnacles of ADAS technolo...