Results 101 to 110 of about 22,594 (260)
We constructed an early prediction model for postoperative pulmonary complications after thoracoscopic surgery using machine learning and deep learning algorithms.
Cheng-Mao Zhou +4 more
doaj +1 more source
Genetic Modifiers of ABCA1 Activity Interact with APOE Isoforms to Mediate Alzheimer's Disease Risk
Objective ATP‐binding cassette transporter A1 (ABCA1) has been associated with Alzheimer's disease (AD), but the mechanisms by which it impacts disease risk are unknown. ABCA1 is known to bind apolipoprotein E (ApoE) and catalyze apolipoprotein lipidation.
Andrés Peña‐Tauber +24 more
wiley +1 more source
Channel Pruning Method Based on Decoupling Feature Scale Distribution in Batch Normalization Layers
Pruning and compression of models are practical approaches for deploying and applying deep convolutional neural networks in scenarios with limited memory and computational resources.
Zijie Qiu +4 more
doaj +1 more source
The accuracy of underwater acoustic targets recognition via limited ship radiated noise can be improved by a deep neural network trained with a large number of unlabeled samples.
Sheng Shen, Honghui Yang, Meiping Sheng
doaj +1 more source
Genetic Diversity, Adaptation, Wild Introgression, and Coat Color Mutation of Golden Yak
Genetic diversity, adaptation, wild introgression, and coat color mutation of golden yak from two populations on the Qinghai‐Xizang Plateau. ABSTRACT The golden yak lives on the Qinghai‐Xizang Plateau with a golden coat and adapts to high altitudes and strong ultraviolet environment. The golden coat is a prominent phenotype in many domesticated species,
Huixuan Yan +15 more
wiley +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Choosing a suitable topology for a neural network, given an application, is a difficult problem. Usually, after a tedious trial-and-error process, an oversized topology is chosen, which is prone to various drawbacks like a high demand on computational resources and a high generalization error.
Thimm, Georg, Fiesler, Emile
openaire +1 more source
Molecular filming: A director's grammar for visualizing chemistry in motion
Molecular filming names the practice, not just the product, of ultrafast structural science. In deliberate analogy to molecular editing, which rewrites connectivity in space, molecular filming records geometry in time, assembling time‐ordered structural frames into a movie of atomic motion and recasting the field as a grammar of directorial choices ...
Hyotcherl Ihee
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Noise Injection as a Structural Diagnostic Tool for Deep Model Reduction
In this study, we introduce a novel, functionally driven method for model pruning guided by sensitivity analysis. Conventional model compression techniques often rely on proxy metrics, such as weight magnitude, which may not accurately reflect a ...
Chu-Hui Lee +2 more
doaj +1 more source

