Ara
Toplam kayıt 21, listelenen: 1-10
Evaluation of Sub-Network search programs in epilepsy-related GWAS dataset
(Pamukkale Üniversitesi, 2022)
The active sub-network detection aims to find a group of interconnected
genes of disease-related genes in a protein-protein interaction network.
In recent years, several algorithms have been developed for this
problem. ...
Consensus embedding for multiple networks: Computation and applications
(CAMBRIDGE UNIV PRESS32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473, 2022)
Machine learning applications on large-scale network-structured data commonly encode network information in the form of node embeddings. Network embedding algorithms map the nodes into a lowdimensional space such that the ...
BLSTM based night-time wildfire detection from video
(Public Library of Science, 2022)
Distinguishing fire from non-fire objects in night videos is problematic if only spatial features
are to be used. Those features are highly disrupted under low-lit environments because of
several factors, such as the ...
ConVarT: A search engine for matching human genetic variants with variants from non-human species
(Oxford University Press, 2022)
The availability of genetic variants, together with phenotypic annotations from model organisms, facilitates comparing these variants with equivalent variants in humans. However, existing databases and search tools do not ...
Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
(PEERJ INC, 2022)
The tremendous boost in next generation sequencing and in the “omics” technologies makes it possible to characterize the human gut microbiome—the collective genomes of the microbial community that reside in our gastrointestinal ...
A high order proximity measure for linear network embedding
(Niğde Ömer Halisdemir Üniversitesi, 2022)
Graph representationion learning (network embedding) is at
the heart of network analytics techniques to reveal and
examine the complex dependencies among nodes. Owing its
importance, many computational methods have ...
Intrinsic graph topological correlation for graph convolutional network propagation
(ELSEVIER, 2022)
Recently, Graph Convolutional Networks (GCNs) and their variants become popular to learn graph-related tasks. These tasks include link prediction, node classification, and node embedding, among many others. In the node ...
Energy Trading on a Peer-to-Peer Basis between Virtual Power Plants Using Decentralized Finance Instruments
(MDPI, 2022)
Over time, distribution systems have begun to include increased distributed energy resources (DERs) due to the advancement of auxiliary power electronics, information and communication technologies (ICT), and cost reductions. ...
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
(ELSEVIER, 2022)
Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies
and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ...
Disaster-resilient lightpath routing in WDM optical networks
(SPRINGER, 2022)
Optical network serves as a core network with huge capacity and a multitude of high-speed
data transmission. Natural disasters and physical attacks showed signifcant impacts on the
optical networks such as damages the ...