Results 71 to 80 of about 4,045,707 (379)

Visual evaluation of graph representation learning based on the presentation of community structures

open access: yesVisual Informatics
Various graph representation learning models convert graph nodes into vectors using techniques like matrix factorization, random walk, and deep learning. However, choosing the right method for different tasks can be challenging.
Yong Zhang   +7 more
doaj   +1 more source

Optimization of voids in concrete ceilings: A geometrical approach [PDF]

open access: yesFME Transactions, 2019
The task to reduce the material consumption in the building industry is urgent. Conserving concrete saves nature and money. To reduce the consumption of concrete in buildings we design hollow bodies in ceiling structures.
Noack Kevin   +2 more
doaj  

Visualizing Visual Parser Execution

open access: yesInternational Conferences on Distributed Multimedia Systems, 2020
Parsing of visual structures like diagrams and graphs is more complicated than parsing strings. This is so because visual structures are inherently more complex than strings, because visual grammars are more difficult to write than string grammars, and because the algorithms for parsing visual structures are usually more complicated than for parsing ...
Costagliola, Gennaro   +2 more
openaire   +1 more source

Online visualization of bibliography Using Visualization Techniques [PDF]

open access: yes, 2008
Visualization is a concept where we can represent some raw data in the form of graphs, images, charts, etc. which will be very helpful for the end-user to correlate and be able to understand the relationships between the data elements in a single screen.
Manur Venkataramana, Bharath Kumar
core   +1 more source

Visualizing Gene Clusters using Neighborhood Graphs in R [PDF]

open access: yes, 2008
The visualization of cluster solutions in gene expression data analysis gives practitioners an understanding of the cluster structure of their data and makes it easier to interpret the cluster results.
Leisch, Friedrich, Scharl, Theresa
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Impacts of Cooling Reduction Due to Spray Nozzle Clogging on Shell Formation in Continuous Casting of Steel

open access: yesMetals
In steel continuous casting, the secondary cooling zone is usually equipped with air-mist nozzles. Spray nozzle clogging is a common problem that reduces cooling efficiency and affects product quality.
Dianzhi Meng   +6 more
doaj   +1 more source

Auditory-Visual and Visual-Visual Equivalence Relations in Children [PDF]

open access: yesThe Psychological Record, 2005
Previous research has suggested that persons with mental retardation evidence equivalence more readily after being trained on auditory-visual than on visual-visual match-to-sample tasks. The present study sought to determine if this discrepancy is also apparent in normally capable preschoolers and whether the derived class-consistent test performances ...
Smeets, Paul M., Barnes-Holmes, Dermot
openaire   +3 more sources

Network Visualization [PDF]

open access: yes, 2015
Network science has become increasingly popular over the last several years as people have realized that networks have the ability to represent the relationships or connections between any objects.
Reynolds, Brittany Q, Schmitt, Karl
core   +1 more source

Thermostable neutral metalloprotease from Geobacillus sp. EA1 does not share thermolysin's preference for substrates with leucine at the P1′ position

open access: yesFEBS Letters, EarlyView.
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield   +3 more
wiley   +1 more source

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