Text Chunking: Automatically splits large documents into manageable chunks for processing Knowledge Extraction: Uses AI to identify entities and their relationships Entity Standardization: Ensures ...

Network Service Providers (NSPs) envisage to support the divergent and stringent requirements of future services by instantiating these services as service chains, commonly referred to as Service ...

We describe a novel approach to interpret a polar code as a low-density parity-check (LDPC)-like code with an underlying sparse decoding graph. This sparse graph is based on the encoding factor graph ...

Python 3.10 at least. It might work with previous versions, but the code is NOT tested against them. See the support matrix and the matrix in the testing workflow. A virtual environment from which to ...

Internet of Things (IoT) is an emerging technology and its applications are flattering amidst many users, as it makes everything easier. As a consequence of its massive growth, security and privacy ...

During polymerase chain reaction (PCR) amplification of DNA, allelic dropout (ADO) can occur when one allele fails to amplify and is therefore not detected. This can be caused by a variety of ...

Graph Neural Networks (GNNs) have gained attention for their ability in capturing node interactions to generate node representations. However, their performances are frequently restricted in ...

This is used to characterise complex microbial populations in the gut, stool, vagina, placenta, lung and in environmental settings. 20 As next-generation sequencing based on broad-range 16S rDNA PCR ...

Dynamic networks are used in a wide range of fields, including social network analysis, recommender systems and epidemiology. Representing complex networks as structures changing over time allow ...

Graph convolutional network (GCN) outputs powerful representation by considering the structure information of the data to conduct representation learning, but its robustness is sensitive to the ...