Background and Objectives: Among the foot orthoses prescribed to improve postural control in chronic ankle instability, foot orthoses designed to affect both types of mechanical and functional instability have a limited research background. In the present study, a type of foot orthosis named the custom mold with a raised ridge around the perimeter was designed, and manufactured, and its effect ...

Introduction: C spectroscopy offers several advantages compared to H MRS, including increased spectral dispersion, and eliminates the need for water suppression, though it suffers from inherently low sensitivity. In addition, C spectroscopy is important from a physiological point of view because it offers the ability to measure metabolic fluxes such as those of the TCA cycle [1]. In this abstra...

This comparative study evaluates the performance of three popular deep learning architectures, AlexNet, VGG-16, and VGG-19, on a custom-made dataset GPR C-scans collected from several archaeological sites. The introduced has 15,000 training images 3750 test assigned to classes: Anomaly, Noise, Structure. aim is assess selected architectures applied custom examine potential gains using deeper mo...

Subgraph isomorphism problems have various important applications, while generally being NP-complete. Though Ullmann and Konishi proposed the custom circuit designs to accelerate subgraph isomorphism problem, they require many hardware resources for large problems. This study describes the design of data-dependent circuits for subgraph isomorphism problem with evaluation results on an actual FP...

The attenuation provided by hearing protection devices (HPDs) is traditionally determined under laboratory conditions by means of a standardised method titled REAT (Real Ear Attenuation at Threshold). This performance is often overestimated compared to what has been measured so far in industrial reality. Concerning the earmuff, the formable earplug and preformed earplug type of HPD, there are n...

Abstract Automation of machine learning model development is increasingly becoming an established research area. While automated selection and data pre-processing have been studied in depth, there is, however, a gap concerning adaptation strategies when multiple are available. Manually developing strategy can be time consuming costly. In this paper we address issue by proposing the use flexible...

Custom computing platforms represent a new approach to high-performance computing. By configuring processing elements and interconnections at a low level, these systems can be tailored to a wide variety tasks and yet can yield performance that rivals that of application-specific hardware. Image processing tasks are computationally demanding, and therefore represent a good test of the custom com...