Results 161 to 170 of about 3,156,706 (370)
Considering the complications related to alcohol withdrawal syndrome (AWS) such as seizure, delirium tremens and cardiac arrhythmia, it is important to identify the risk of delirium tremens (DT) following AWS and enhance preventive strategies. We observed the characteristics of quantitative electroencephalography in patients with AWS, specifically who ...
Jee‐Eun Yoon+3 more
wiley +1 more source
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression [PDF]
Semantic communication has emerged as a promising paradigm to tackle the challenges of massive growing data traffic and sustainable data communication. It shifts the focus from data fidelity to goal-oriented or task-oriented semantic transmission. While deep learning-based methods are commonly used for semantic encoding and decoding, they struggle with
arxiv
Modeling Semantic Emotion Space Using a 3D Hypercube-Projection: An Innovative Analytical Approach for the Psychology of Emotions [PDF]
Radek Trnka+4 more
openalex +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Abstract Objective Childhood cancer and cancer‐related treatments disrupt brain development and maturation, placing survivors at risk for cognitive late effects. Given that assessment tools vary widely across researchers and clinicians, it has been daunting to identify distinct patterns in outcomes across diverse cancer types and to implement ...
Julie A. Trapani, Donna L. Murdaugh
wiley +1 more source
Ensuring the trustworthiness of data used in real-time analytics remains a critical challenge in smart city monitoring and decision-making. This is because the traditional data validation methods are insufficient for handling the dynamic and ...
Oluwaseun Bamgboye+3 more
doaj +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Gamma oscillations and application of 40‐Hz audiovisual stimulation to improve brain function
Abstract Background Audiovisual stimulation, such as auditory stimulation, light stimulation, and audiovisual combined stimulation, as a non‐invasive stimulation, which can induce gamma oscillation, has received increased attention in recent years, and it has been preliminarily applied in the clinical rehabilitation of brain dysfunctions, such as ...
Xixi Chen+6 more
wiley +1 more source
Towards Privacy-Preserving Semantic Mobility Analysis [PDF]
By analyzing data reflecting human mobility, one can derive patterns and knowledge that are tightly linked to the underlying geography and therefore cannot be applied to another territory or even compared with patterns obtained for another territory ...
Andrienko, G., Andrienko, N., Fuchs, G.
core