Buildings need to be carefully operated and maintained for optimum health, comfort, energy performance, and utility costs. The increasing use of Machine Learning combined with Big Data in the building services sector has shown the potential to bring energy efficiency and cost-effectiveness. Therefore, …

The Institute of Network Cultures and the Learning Community Critical Making are proud to present the Post-Precarity Zine, a toolbox for beginning artists. Times have changed. The art world and the creative economy are no longer the ones we used to know. The digital economy, the pandemic, and the cuts …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …

We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the …

Machine Learning techonology is used to recognize piano note based on audio. Thesis descibes progress on research of ML techonlogyitself and the way how model can be develoepd and trained. Specificaly one architecture is described, that is CNN. Note recongition is based model trained on Nsynth3 database. …

On 16 September 2021 the Teacher Education Policy in Europe Network organized a webinar on career pathways for teachers. The reason for this theme was the need to explore how teachers can stay motivated in their profession during a longer time span. This motivation is key for retaining teachers in their …

Our study elucidates collaborative value creation and private value capture in collaborative networks in a context of sustainability. Collaborative networks that focus on innovative solutions for grand societal challenges are characterized by a multiplicity and diversity of actors that increase the complexity …

Over the past year and a half, the pandemic has posed serious challenges to many professions, including education in general and teacher education in particular. COVID19 created an unprecedented and unimagined disruption without preparation. As in schools, in teacher education daily routines were challenged …

Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase …