Blar i SINTEF Digital på tidsskrift "Scientific Reports"
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CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
(Peer reviewed; Journal article, 2022)Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based CNN-XGBoost fusion method for recognising ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
(Peer reviewed; Journal article, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ... -
Multi-fidelity information fusion with concatenated neural networks
(Peer reviewed; Journal article, 2022)Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design ... -
Rate of force development relationships to muscle architecture and contractile behavior in the human vastus lateralis
(Peer reviewed; Journal article, 2022)In this study, we tested the hypotheses that (i) rate of force development (RFD) is correlated to muscle architecture and dynamics and that (ii) force–length–velocity properties limit knee extensor RFD. Twenty-one healthy ... -
Regulated cell death joins in atherosclerotic plaque silent progression
(Peer reviewed; Journal article, 2022)Non-apoptotic regulated cell death (ferroptosis and necroptosis) leads to the release of damage-associated molecular patterns (DAMPs), which initiate and perpetuate a non-infectious inflammatory response. We hypothesize ... -
The Direction of Tumour Growth in Glioblastoma Patients
(Journal article; Peer reviewed, 2018)Generating MR-derived growth pattern models for glioblastoma multiforme (GBM) has been an attractive approach in neuro-oncology, suggesting a distinct pattern of lesion spread with a tendency in growing along the white ... -
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
(Peer reviewed; Journal article, 2022)A central challenge in the computational modeling and simulation of a multitude of science applications is to achieve robust and accurate closures for their coarse-grained representations due to underlying highly nonlinear ... -
Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
(Peer reviewed; Journal article, 2022)Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major ...