Results 161 to 170 of about 17,602 (258)
Underwater Target Direction of Arrival Estimation by Small Acoustic Sensor Array Based on Sparse Bayesian Learning [PDF]
Biao Wang, Cheng He
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Abstract Trauma‐focused cognitive behavioral therapy (TF‐CBT) is an evidence‐based treatment widely used for youth experiencing symptoms related to posttraumatic stress disorder (PTSD). This study used both cross‐sectional and cross‐lagged panel network (CLPN) analyses to examine changes in PTSD symptom networks following TF‐CBT and explore their ...
Qiyue Cai +5 more
wiley +1 more source
Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via the Complex-valued Fast Block Sparse Bayesian Learning Algorithm [PDF]
Benyuan Liu +3 more
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ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Antler characteristics are influenced by a combination of genetics, age, and environmental factors, notably habitat quality and resource availability. In this study, we explored how diverse environmental factors, including climate and land cover composition, affect antler size, tine configuration, and the distribution of record‐scoring white‐tailed ...
Brooklyn S. Cars +5 more
wiley +1 more source
Exploring the Laplace Prior in Radio Tomographic Imaging with Sparse Bayesian Learning towards the Robustness to Multipath Fading. [PDF]
Wang Z, Guo X, Wang G.
europepmc +1 more source
Bayesian group sparse learning for music source separation
Jen‐Tzung Chien, Hsin-Lung Hsieh
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Detecting edges from non-uniform Fourier data via sparse Bayesian learning [PDF]
Victor Churchill, Anne Gelb
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Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Joint image compression and encryption based on sparse Bayesian learning and bit-level 3D Arnold cat maps. [PDF]
Li X, Li T, Wu J, Xie Z, Shi J.
europepmc +1 more source

