Results 211 to 220 of about 64,275 (248)

Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins. [PDF]

Sci Rep
Pan L, Li H, Li X, Bi D, Peng L, Xie Y.
europepmc   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

Integrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang, Shipeng Hu, Hengrui Wang, Jizheng Yi, Guoxiong Zhou, Xiangyu Shen, Weixiong Peng, Zhishu Xiao, Aibin Chen   +8 more
wiley   +1 more source

Temporally-consistent koopman autoencoders for forecasting dynamical systems. [PDF]

Sci Rep
Nayak I, Chakrabarti A, Kumar M, Teixeira FL, Goswami D.   +4 more
europepmc   +1 more source

The persistent advantage of model‐based phylogenetic methods for single‐trait prediction

Methods in Ecology and Evolution, EarlyView.
Abstract Reliable predictions of biological traits support a wide range of applications, from bioprospecting to informing conservation priorities. Given the complexity and diversity of trait evolution, robust methods for trait prediction are essential for drawing meaningful evolutionary inferences from phylogenetic data.
Adam Richard‐Bollans, Daniele Silvestro   +1 more
wiley   +1 more source

Decode-gLM: Tools to Interpret, Audit, and Steer Genomic Language Models

Maiwald A, Jedryszek P, Draye F, Morris GM, Crook OM.   +4 more
europepmc   +1 more source

Redefining Parameter Estimation and Covariate Selection via Variational Autoencoders: One Run Is All You Need. [PDF]

CPT Pharmacometrics Syst Pharmacol
Rohleff J, Bachmann F, Nahum U, Bräm D, Steffens B, Pfister M, Koch G, Schropp J.   +7 more
europepmc   +1 more source

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images

Australasian Journal of Dermatology, EarlyView.
ABSTRACT Background/Objectives Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction of capsule networks (CNs).
Hayley Chai, Stephen Gilmore
wiley   +1 more source

Disease- and gene-specific deep learning for pathogenicity prediction of rare missense variants in cancer predisposition genes. [PDF]

BioData Min
Lee DB, Kang HU, Hwang KB.
europepmc   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Correction: Enhanced Thompson sampling by roulette wheel selection for screening ultralarge combinatorial libraries. [PDF]

J Cheminform
Zhao H, Nittinger E, Yu MA, Gathiaka S, Walters WP, Tyrchan C.   +5 more
europepmc   +1 more source