Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

[HTML][HTML] The free energy principle made simpler but not too simple

K Friston, L Da Costa, N Sajid, C Heins, K Ueltzhöffer… - Physics Reports, 2023 - Elsevier
This paper provides a concise description of the free energy principle, starting from a
formulation of random dynamical systems in terms of a Langevin equation and ending with a …

Mastering atari with discrete world models

D Hafner, T Lillicrap, M Norouzi, J Ba - ar** policies
J Mahler, M Matl, V Satish, M Danielczuk, B DeRose… - Science Robotics, 2019 - science.org
Universal picking (UP), or reliable robot gras** of a diverse range of novel objects from
heaps, is a grand challenge for e-commerce order fulfillment, manufacturing, inspection, and …

[HTML][HTML] Active inference on discrete state-spaces: A synthesis

L Da Costa, T Parr, N Sajid, S Veselic, V Neacsu… - Journal of Mathematical …, 2020 - Elsevier
Active inference is a normative principle underwriting perception, action, planning, decision-
making and learning in biological or artificial agents. From its inception, its associated …

Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings

S Brandi, MS Piscitelli, M Martellacci, A Capozzoli - Energy and Buildings, 2020 - Elsevier
Abstract In this work, Deep Reinforcement Learning (DRL) is implemented to control the
supply water temperature setpoint to terminal units of a heating system. The experiment was …

Machine learning and radiology

S Wang, RM Summers - Medical image analysis, 2012 - Elsevier
In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

[LIVRE][B] Planning algorithms

SM LaValle - 2006 - books.google.com
Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

An efficient reinforcement learning-based Botnet detection approach

M Alauthman, N Aslam, M Al-Kasassbeh… - Journal of Network and …, 2020 - Elsevier
The use of bot malware and botnets as a tool to facilitate other malicious cyber activities (eg
distributed denial of service attacks, dissemination of malware and spam, and click fraud) …

Artificial intelligence and echocardiography

M Alsharqi, WJ Woodward, JA Mumith… - Echo Research & …, 2018 - Springer
Echocardiography plays a crucial role in the diagnosis and management of cardiovascular
disease. However, interpretation remains largely reliant on the subjective expertise of the …