Results 51 to 60 of about 796,452 (265)
Influence of Compact Memristors’ Stability on Machine Learning
IEEE Access, 2019 Memristors attract wide attention due to its high integration and parallel computation, having great potential to promote the development of machine learning.
Ruohua Zhu +7 more
doaj +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Clusterability Test for Categorical Data
Knowledge and Information Systems, 2023 28 pages, 12 appendix pages, 17 ...
Lianyu Hu 0001 +4 more
openaire +2 more sources
GPU Hızlandırmalı Veri Demetleme Algoritmalarının İncelenmesi
Online Academic Journal of Information Technology, 2013 Veri demetleme algoritmaları, arama; spam, saldırı tespiti; hücre, gen, doküman analizi; moleküler dinamik simülasyonlarının biçimlerinin analizi gibi uygulamalar için oldukça önemlidirler.
Murat Hacıömeroğlu +1 more
doaj +1 more source
Applied Sciences, 2023 In order to establish a highly efficient P system for resolving clustering problems and overcome the computation incompleteness and implementation difficulty of P systems, an attractive clustering membrane system, integrated with enhanced particle swarm ...
Lin Wang +5 more
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Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
Data ultrametricity and clusterability
Journal of Physics: Conference Series, 2019 Abstract The increasing needs of clustering massive datasets and the high cost of running clustering algorithms poses difficult problems for users. In this context it is important to determine if a data set is clusterable, that is, it may be partitioned efficiently into well-differentiated groups containing similar objects.
Dan A. Simovici, Kaixun Hua
openaire +2 more sources
Sensors, 2022 Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been extensively investigated and successfully implemented in image segmentation. FCM is useful in various aspects, such as the segmentation of grayscale images. However, FCM has
Waleed Alomoush +6 more
doaj +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
A Hybrid Data Clustering Algorithm Using Modified Krill Herd Algorithm and K-MEANS [PDF]
Journal of Advances in Computer Engineering and Technology, 2019 Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm ...
Jensi R
doaj