Results 61 to 70 of about 4,488 (237)

Erratum: Jamšek et al. Gaussian Mixture Models for Control of Quasi-Passive Spinal Exoskeletons. Sensors 2020, 20, 2705

Sensors, 2021
There was an error in the original article [...]
Marko Jamšek, Tadej Petrič, Jan Babič
doaj   +1 more source

Łukasiewicz-Moisil Many-Valued Logic Algebra of Highly-Complex Systems [PDF]

, 2010
A novel approach to self-organizing, highly-complex systems (HCS), such as living organisms and artificial intelligent systems (AIs), is presented which is relevant to Cognition, Medical Bioinformatics and Computational Neuroscience.
Baianu, Professor I.C., Georgescu, Professor George, Glazebrook, Professor James F.   +2 more
core  

Generalization-Based Acquisition of Training Data for Motor Primitive Learning by Neural Networks

Applied Sciences, 2021
Autonomous robot learning in unstructured environments often faces the problem that the dimensionality of the search space is too large for practical applications.
Zvezdan Lončarević, Rok Pahič, Aleš Ude, Andrej Gams   +3 more
doaj   +1 more source

Implications of sex differences in orthostatic tolerance during exposure to acute artificial gravity

npj Microgravity
Development of countermeasures to minimise spaceflight deconditioning is of paramount importance, such as the short-arm human centrifuge (SAHC); however, sex differences in cardiovascular responses should be considered. 20 participants (female = 10, male 
Jason T. Fisher, Igor B. Mekjavic, Urša Ciuha   +2 more
doaj   +1 more source

Practical Considerations for Using Personal Cooling Garments for Heat Stress Management in Physically Demanding Occupations: A Systematic Review and Meta‐Analysis Using Realist Evaluation

American Journal of Industrial Medicine, Volume 68, Issue 1, Page 3-25, January 2025.
ABSTRACT Introduction Due to rising temperature extremes, workplaces are seeking new solutions, such as using personal cooling garments (PCG) to mitigate and manage workplace heat exposure. This systematic review sought to assess the physiological and perceptual effects of PCGs on workers in standard work clothing performing moderate‐to‐heavy intensity
Emily J. Tetzlaff, Leonidas G. Ioannou, Fergus K. O'Connor, Antonia Kaltsatou, Valentina Ly, Glen P. Kenny   +5 more
wiley   +1 more source

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifiers

, 2019
In this paper, an issue of building the RRC model using probability distributions other than beta distribution is addressed. More precisely, in this paper, we propose to build the RRR model using the truncated normal distribution.
B. Bergmann, D Yekutieli, DJ Hand, F Provost, F Wilcoxon, HA David, J Demšar, James O. Berger, JR Quinlan, L Breiman, L Kuncheva, M Friedman, M Hall, M Kurzynski, Marcin Majak, Marek Kurzynski, Marina Sokolova, N Johnson, Pawel Trajdos, R Lysiak, S Garcia, T Cover, T Woloszynski, Y Freund   +23 more
core   +1 more source

Estimation of Alpine Skier Posture Using Machine Learning Techniques

Sensors, 2014
High precision Global Navigation Satellite System (GNSS) measurements are becoming more and more popular in alpine skiing due to the relatively undemanding setup and excellent performance.
Bojan Nemec, Tadej Petrič, Jan Babič, Matej Supej   +3 more
doaj   +1 more source

Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning

, 2020
We demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD) tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray images according to the AO classification.
Albarqouni, Shadi, Biberthaler, Peter, Jiménez-Sánchez, Amelia, Kazi, Anees, Kirchhoff, Chlodwig, Kirchhoff, Sonja, Mateus, Diana, Navab, Nassir   +7 more
core   +3 more sources

Ethical Principles of Integrating ChatGPT Into IoT–Based Software Wearables: A Fuzzy‐TOPSIS Ranking and Analysis Approach

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
The rapid development of the internet of things (IoT) prompts organizations and developers to seek innovative approaches for future IoT device development and research. Leveraging advanced artificial intelligence (AI) models such as ChatGPT holds promise in reshaping the conceptualization, development, and commercialization of IoT devices. Through real‐
Maseeh Ullah Khan, Muhammad Farhat Ullah, Sabeeh Ullah Khan, Weiqiang Kong, Vasudevan Rajamohan   +4 more
wiley   +1 more source

Adaptive Visual Quality Inspection Based on Defect Prediction From Production Parameters

IEEE Access
At the end of a production process, the manufactured products must usually be visually inspected to ensure their quality. Often, it is necessary to inspect the final product from several viewpoints.
Zvezdan Loncarevic, Simon Rebersek, Samo Sela, Jure Skvarc, Ales Ude, Andrej Gams   +5 more
doaj   +1 more source