Artificial intelligence-based algorithms are widely adopted in critical applications such as healthcare and autonomous vehicles. Mitigating the security and privacy issues of AI models, and enhancing their trustworthiness ...

One of the most challenging problems when diagnosing autism spectrum disorder (ASD) is the need for long sets of data. Collecting data during such long periods is challenging, particularly when dealing with children. This ...

Objective: Stroke survivors often experience residual impairments and motor decline post-discharge. While digital home rehabilitation combined with supervision could be a promising approach for reducing human resources, ...

The present study investigates the modal stability of the steady incompressible flow inside a toroidal pipe for values of the curvature δ (ratio between pipe and torus radii) approaching zero, i.e. the limit of a straight ...

Several studies have documented the navigation requirements and preferences of people with visual impairments. The primary methods used in such studies were interviews and surveys. With the same goal, this study employed ...

This work investigates the emergent complexity in Lenia, an artificial life platform that simulates ecosystems of digital creatures. Lenia’s ecosystem consists of a continuous cellular automaton where simple artificial ...

Submerged Floating Tunnels (SFTs) are an innovative and appealing solution for the water crossing of railways over wide and deep waterbodies where it is challenging or even impractical to construct conventional bottom- founded ...

Dette vitenskapelige essayet diskuterer økologiske perspektiver i scenekunst for barn, og forholdet mellom kunst, mennesker, dyr og våre fysiske omgivelser i lys av ideer om posthumanisme, sympoiesis og kunstnerisk forskning. ...

Bridges play a vital role in highway transportation systems and damage to bridges may cause impaired emergency response and economic loss and interrupt the functionality of the systems. Damage to bridge during the last ...

Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...