Results 41 to 50 of about 510,572 (297)
Identifying transition states of chemical kinetic systems using network embedding techniques
Mathematical Biosciences and Engineering, 2021 Many chemical and biochemical systems can be intuitively modeled using networks. Due to the size and complexity of many biochemical networks, we require tools for efficient network analysis.
Paula Mercurio, Di Liu
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Concept learning and feature interpretation [PDF]
Memory & Cognition, 2000 Models of categorization often assume that people classify new instances directly on the basis of the presented, observable features. Recent research, however, has suggested that the coherence of a category may depend in part on more abstract features that can link together observable features that might otherwise seem to have little similarity.
T L, Spalding, B H, Ross
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
MHST: Multiscale Head Selection Transformer for Hyperspectral and LiDAR Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe joint use of hyperspectral image (HSI) and light detection and ranging (LiDAR) data has gained significant performance on land-cover classification. Although spatial–spectral feature learning methods based on convolutional neural networks and ...
Kang Ni +3 more
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Learning visual features under motion invariance [PDF]
Neural Networks, 2020 73 pages, 9 figures.
Betti A., Gori M., Melacci S.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Leveraging deep feature learning for handwriting biometric authentication [PDF]
International Journal of Research in Industrial EngineeringThe authentication of writers through handwritten text stands as a biometric technique with considerable practical importance in the field of document forensics and literary history.
Parvaneh Afzali +2 more
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Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review
Machines, 2022 Rotating machine vibration signals typically represent a large collection of responses from various sources in a machine, along with some background noise.
Hosameldin Osman Abdallah Ahmed +1 more
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Discriminative learning of apparel features [PDF]
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015 ISBN:978-4-901122-14 ...
Rothe, Rasmus +3 more
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source