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"The industrial applications of Additive manufacturing technologies and systems are quickly increasing due to the high flexibility in the part design allowing for mass customisation and reduction of material usage. Besid...

"We present experimental results on the information transmission and storage via stochastic resonance in circuits designed and built around Schmitt triggers (STs). First, we investigate the performance of a transmission ...

This article discusses the appearance of the documental cinema by means of analyzing its original variants ­ the documentary, the social documentary, and the ethnographic movie ­ in their relationships with the knowled...

This thesis presents the development and simulation of a modular physically based thermal model of a building and a reversible R290 (propane) air-to-water heat pump, implemented in MATLAB/Simulink and Simscape. The work ...

In this paper, the signal propagation characteristics of urban environments are predicted by modeling important propagation parameters of the Code Division Multiple Access (CDMA) network for macrocells. The MOPEM propaga...

"Falls pose a significant health risk to older adults, often resulting in serious injuries and reduced independence. This study explored two machine learning approaches for detecting falls using data from wearable sensor...

Part 1 The lexical database: nouns in WordNet, George A. Miller modifiers in WordNet, Katherine J. Miller a semantic network of English verbs, Christiane Fellbaum design and implementation of the WordNet lexical database...

Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science. The behavioral-science paradigm seeks to develop and verify theories that explain or predict h...

Given a combinatorial optimisation problem, there are typically multiple ways of modelling it for presentation to an automated solver. Choosing the right combination of model and target solver can have a significant impa...

The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local re...