Energy conservation is crucial in wireless ad hoc sensor network design to increase network lifetime. Since communication consumes a major part of the energy used by a sensor node, efficient communication is important. Topology control aims at achieving more efficient communication by dropping links …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …

In recent years, the demand for efficient automation across various sectors has accelerated significantly [...].

The world of electric mobility and charging infrastructure has accelerated in recent years: from a start-up to a mature market. During the last decade, researchers at Amsterdam University of Applied Sciences have contributed to making the rollout and use of charging infrastructure smarter. By analysing …

In mobile robotics, LASER scanners have a wide spectrum of indoor and outdoor applications, both in structured and unstructured environments, due to their accuracy and precision. Most works that use this sensor have their own data representation and their own case-specific modeling strategies, and no …

De Hogeschool van Amsterdam doet al meer dan 10 jaar onderzoek naar het opladen van elektrische auto’s en de benodigde laadinfrastructuur. Een dynamische wereld waarin de ontwikkelingen heel snel zijn gegaan. Het onderzoek van de HvA is meegegroeid met deze wereld. Van AC tot DC en van plug-in hybride …

A growing interest in person-centered care from a biopsychosocial perspective has led to increased attention to structural screening. The aim of this study was to develop an easy-to-comprehend screening instrument using single items to identify a broad range of health-related problems in adult burn survivors. …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …