Search
Now showing items 521-530 of 2133
Decoding Emotional Valence from Electroencephalographic Rhythmic Activity
(IEEE, 2017)
We attempt to decode emotional valence from electroencephalographic rhythmic activity in a naturalistic setting. We employ a data-driven method developed in a previous study, Spectral Linear Discriminant Analysis, to ...
Decomposing issue patterns in crisis communication : the case of the lost airliner
(Inderscience Enterprises, 2018)
This research explores the relation between a crisis and public
discussion on related issues. In organisational crisis communication, a singleissue
strategy is often proposed. Such a strategy, however, may not be ...
Decreased Functional and Structural Connectivity is Associated with Core Symptom Improvement in Children with Autism Spectrum Disorder After Mini-basketball Training Program
(Springer, 2023)
Exercise intervention has been proven helpful to ameliorate core symptoms of Autism Spectrum Disorder (ASD). However, the underlying mechanisms are not fully understood. In this study, we carried out a 12-week mini-basketball ...
Deep Homeomorphic Data Encryption for Privacy Preserving Machine Learning
(Elsevier, 2024)
Addressing privacy concerns is critical in smart manufacturing where sensitive data is used for machine learning. Data protection is essential to ensure model accuracy while upholding data privacy. Homeomorphic encryption, ...
Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity
(Taylor & Francis, 2020)
Protruding impact peak is one of the features of vertical ground reaction force (GRF) that is related to injury risk while running. The present research is dedicated to predicting GRF impact peak appearance by setting a ...
Deep learning-based asteroid surface temperature evaluation from disk-resolved near-infrared spectra for thermal excess correction
(Elsevier BV, 2023)
Near-Earth asteroids can become warm enough to emit radiation at near-infrared wavelengths, close to 2.5 μm. Thermal radiation can interfere with reflectance measurements in these wavelengths, and should be evaluated and ...
Deep Neural Networks, Cellular Automata and Petri Nets : Useful Hybrids for Smart Manufacturing
(Elsevier, 2024)
In the era of Industry 4.0 and beyond, intelligent and reliable models are vital for processes and assets. Models in smart manufacturing involve combining knowledge-based and data-driven methods with discrete and continuous ...
DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification
(Nature Publishing Group, 2022)
Recent developments in deep learning have impacted medical science. However, new privacy issues and regulatory frameworks have hindered medical data sharing and collection. Deep learning is a very data-intensive process ...
Defensive Machine Learning Methods and the Cyber Defence Chain
(Springer, 2023)
Cyberattacks are now occurring on a daily basis. As attacks and breaches are so frequent, and the fact that human work hours do not scale infinitely, the cybersecurity industry needs innovative and scalable tools and ...
Defining Complexity Factors for Architecture Evaluation Framework
(IEEE computer society press, 2006)
The design and implementation of telecommunication systems is an incremental and iterative process, and system architectures may need to be revised and refined several times during their lifetime. Formal evaluation facilitates ...